Distribution-Based Pruning of Backoff Language Models. - Jianfeng Gao 001; Kai-Fu Lee (ACL, 2000)

PENS: A Machine-aided English Writing System for Chinese Users. - Ting Liu 001; Ming Zhou 001; Jianfeng Gao 001; Endong Xun; Changning Huang (ACL, 2000)

A unified approach to statistical language modeling for Chinese. - Jianfeng Gao 001; Haifeng Wang 001; Mingjing Li; Kai-Fu Lee (ICASSP, 2000)

N-gram distribution based language model adaptation. - Jianfeng Gao 001; Mingjing Li; Kai-Fu Lee (INTERSPEECH, 2000)

Language model size reduction by pruning and clustering. - Joshua Goodman 001; Jianfeng Gao 001 (INTERSPEECH, 2000)

On the use of words and n-grams for Chinese information retrieval. - Jian-Yun Nie; Jianfeng Gao 001; Jian Zhang; Ming Zhou 001 (IRAL, 2000)

Lexicon Optimization for Chinese Language Modeling. - Jun Zhao; Jianfeng Gao 001; Eric Chang; Mingjing Li (ISCSLP, 2000)

TREC-9 CLIR Experiments at MSRCN. - Jianfeng Gao 001; Jian-Yun Nie; Jian Zhang; Endong Xun; Yi Su; Ming Zhou 001; Changning Huang (TREC, 2000)

Mining Generalized Query Patterns from Web Logs. - Charles X. Ling; Jianfeng Gao 001; Huajie Zhang; Weining Qian; HongJiang Zhang (HICSS, 2001)

Improving Query Translation for Cross-Language Information Retrieval Using Statistical Models. - Jianfeng Gao 001; Endong Xun; Ming Zhou 001; Changning Huang; Jian-Yun Nie; Jian Zhang (SIGIR, 2001)

TREC-10 Web Track Experiments at MSRA. - Jianfeng Gao 001; Guihong Cao; Hongzhao He; Min Zhang 006; Jian-Yun Nie; Steve Walker; Stephen E. Robertson (TREC, 2001)

The Use of Clustering Techniques for Language Modeling-Application to Asian Language. - Jianfeng Gao 001; Joshua T. Goodman; Jiangbo Miao (Int. J. Comput. Linguistics Chin. Lang. Process., 2001)

Improving the Effectiveness of Information Retrieval with Clustering and Fusion. - Jian Zhang; Jianfeng Gao 001; Ming Zhou 001; Jiaxing Wang (Int. J. Comput. Linguistics Chin. Lang. Process., 2001)

Finding the Better Indexing units for Chinese Information Retrieval. - Hongzhao He; Jianfeng Gao 001; Pilian He; Changning Huang (SIGHAN@COLING, 2002)

Exploring Asymmetric Clustering for Statistical Language Modeling. - Jianfeng Gao 001; Joshua Goodman 001; Guihong Cao; Hang Li 001 (ACL, 2002)

Improving Language Model Size Reduction using Better Pruning Criteria. - Jianfeng Gao 001; Min Zhang 006 (ACL, 2002)

Chinese Named Entity Identification Using Class-based Language Model. - Jian Sun 001; Jianfeng Gao 001; Lei Zhang 001; Ming Zhou 001; Changning Huang (COLING, 2002)

Exploiting Headword Dependency and Predictive Clustering for Language Modeling. - Jianfeng Gao 001; Hisami Suzuki; Yang Wen (EMNLP, 2002)

Improving language modeling by combining heteogeneous corpora. - Zhengyu Zhou; Jianfeng Gao 001; Eric Chang (ISCSLP, 2002)

NTCIR-3 CLIR Experiments at MSRA. - Hongzhao He; Jianfeng Gao 001 (NTCIR, 2002)

Resolving query translation ambiguity using a decaying co-occurrence model and syntactic dependence relations. - Jianfeng Gao 001; Ming Zhou 001; Jian-Yun Nie; Hongzhao He; Weijun Chen (SIGIR, 2002)

Improving Encarta Search Engine Performance by Mining User Logs. - Charles X. Ling; Jianfeng Gao 001; Huajie Zhang; Weining Qian; HongJiang Zhang (Int. J. Pattern Recognit. Artif. Intell., 2002)

Toward a unified approach to statistical language modeling for Chinese. - Jianfeng Gao 001; Joshua Goodman 001; Mingjing Li; Kai-Fu Lee (ACM Trans. Asian Lang. Inf. Process., 2002)

Unsupervised Training for Overlapping Ambiguity Resolution in Chinese Word Segmentation. - Mu Li 001; Jianfeng Gao 001; Changning Huang; Jianfeng Li (SIGHAN, 2003)

Single Character Chinese Named Entity Recognition. - Xiaodan Zhu 001; Mu Li 001; Jianfeng Gao 001; Changning Huang (SIGHAN, 2003)

Improved Source-Channel Models for Chinese Word Segmentation. - Jianfeng Gao 001; Mu Li 001; Changning Huang (ACL, 2003)

Unsupervised Learning of Dependency Structure for Language Modeling. - Jianfeng Gao 001; Hisami Suzuki (ACL, 2003)

Training data optimization for language model adaptation. - Xiaoshan Fang; Jianfeng Gao 001; Jianfeng Li; Huanye Sheng (INTERSPEECH, 2003)

A Class-based Language Model Approach to Chinese Named Entity Identification. - Jian Sun 001; Ming Zhou 001; Jianfeng Gao 001 (Int. J. Comput. Linguistics Chin. Lang. Process., 2003)

A Semi-Supervised Approach to Build Annotated Corpus for Chinese Named Entity Recognition. - Xiaoshan Fang; Jianfeng Gao 001; Huanye Sheng (SIGHAN@ACL, 2004)

Chinese Chunking with Another Type of Spec. - Hongqiao Li; Changning Huang; Jianfeng Gao 001; Xiaozhong Fan (SIGHAN@ACL, 2004)

Adaptive Chinese Word Segmentation. - Jianfeng Gao 001; Andi Wu; Cheng-Ning Huang; Hongqiao Li; Xinsong Xia; Hauwei Qin (ACL, 2004)

Long Distance Dependency in Language Modeling: An Empirical Study. - Jianfeng Gao 001; Hisami Suzuki (IJCNLP, 2004)

The Use of SVM for Chinese New Word Identification. - Hongqiao Li; Changning Huang; Jianfeng Gao 001; Xiaozhong Fan (IJCNLP, 2004)

Dependence language model for information retrieval. - Jianfeng Gao 001; Jian-Yun Nie; Guangyuan Wu; Guihong Cao (SIGIR, 2004)

Introduction to the special issue on statistical language modeling. - Jianfeng Gao 001; Chin-Yew Lin (ACM Trans. Asian Lang. Inf. Process., 2004)

Person resolution in person search results: WebHawk. - Xiaojun Wan 001; Jianfeng Gao 001; Mu Li 001; Binggong Ding (CIKM, 2005)

An Empirical Study on Language Model Adaptation Using a Metric of Domain Similarity. - Wei Yuan; Jianfeng Gao 001; Hisami Suzuki (IJCNLP, 2005)

Transformation Based Chinese Entity Detection and Tracking. - Yaqian Zhou 001; Changning Huang; Jianfeng Gao 001; Lide Wu (IJCNLP (companion), 2005)

Minimum Sample Risk Methods for Language Modeling. - Jianfeng Gao 001; Hao Yu; Wei Yuan; Peng Xu (HLT/EMNLP, 2005)

A Comparative Study on Language Model Adaptation Techniques Using New Evaluation Metrics. - Hisami Suzuki; Jianfeng Gao 001 (HLT/EMNLP, 2005)

Linear discriminant model for information retrieval. - Jianfeng Gao 001; Haoliang Qi; Xinsong Xia; Jian-Yun Nie (SIGIR, 2005)

Chinese Word Segmentation and Named Entity Recognition: A Pragmatic Approach. - Jianfeng Gao 001; Mu Li 001; Changning Huang; Andi Wu (Comput. Linguistics, 2005)

Approximation Lasso Methods for Language Modeling. - Jianfeng Gao 001; Hisami Suzuki; Bin Yu 001 (ACL, 2006)

A DOM Tree Alignment Model for Mining Parallel Data from the Web. - Lei Shi; Cheng Niu; Ming Zhou 001; Jianfeng Gao 001 (ACL, 2006)

A Supervised Learning Approach to Entity Search. - Guoping Hu; Jingjing Liu 001; Hang Li 001; Yunbo Cao; Jian-Yun Nie; Jianfeng Gao 001 (AIRS, 2006)

Automatic Acquisition of Chinese-English Parallel Corpus from the Web. - Ying Zhang; Ke Wu; Jianfeng Gao 001; Phil Vines (ECIR, 2006)

A Comparative Study of Discriminative Methods for Reranking LVCSR N-Best Hypotheses in Domain Adaptation and Generalization. - Zhengyu Zhou; Jianfeng Gao 001; Frank K. Soong; Helen Meng (ICASSP (1), 2006)

An Information-Theoretic Approach to Automatic Evaluation of Summaries. - Chin-Yew Lin; Guihong Cao; Jianfeng Gao 001; Jian-Yun Nie (HLT-NAACL, 2006)

A study of statistical models for query translation: finding a good unit of translation. - Jianfeng Gao 001; Jian-Yun Nie (SIGIR, 2006)

Statistical query translation models for cross-language information retrieval. - Jianfeng Gao 001; Jian-Yun Nie; Ming Zhou 001 (ACM Trans. Asian Lang. Inf. Process., 2006)

An empirical study on language model adaptation. - Jianfeng Gao 001; Hisami Suzuki; Wei Yuan (ACM Trans. Asian Lang. Inf. Process., 2006)

A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing. - Jianfeng Gao 001; Galen Andrew; Mark Johnson; Kristina Toutanova (ACL, 2007)

Extending query translation to cross-language query expansion with markov chain models. - Guihong Cao; Jianfeng Gao 001; Jian-Yun Nie; Jing Bai 005 (CIKM, 2007)

Compressing Trigram Language Models With Golomb Coding. - Kenneth Church 001; Ted Hart; Jianfeng Gao 001 (EMNLP-CoNLL, 2007)

Scalable training of L1-regularized log-linear models. - Galen Andrew; Jianfeng Gao 001 (ICML, 2007)

A system to mine large-scale bilingual dictionaries from monolingual web pages. - Guihong Cao; Jianfeng Gao 001; Jian-Yun Nie (MTSummit, 2007)

Bayesian Semi-Supervised Chinese Word Segmentation for Statistical Machine Translation. - Jia Xu 004; Jianfeng Gao 001; Kristina Toutanova; Hermann Ney (COLING, 2008)

A comparison of Bayesian estimators for unsupervised Hidden Markov Model POS taggers. - Jianfeng Gao 001; Mark Johnson (EMNLP, 2008)

Indirect-HMM-based Hypothesis Alignment for Combining Outputs from Machine Translation Systems. - Xiaodong He 001; Mei Yang; Jianfeng Gao 001; Patrick Nguyen; Robert Moore (EMNLP, 2008)

Using Contextual Speller Techniques and Language Modeling for ESL Error Correction. - Michael Gamon; Jianfeng Gao 001; Chris Brockett; Alexandre Klementiev; William B. Dolan; Dmitriy Belenko; Lucy Vanderwende (IJCNLP, 2008)

A Web-based English Proofing System for English as a Second Language Users. - Xing Yi; Jianfeng Gao 001; William B. Dolan (IJCNLP, 2008)

Selecting good expansion terms for pseudo-relevance feedback. - Guihong Cao; Jian-Yun Nie; Jianfeng Gao 001; Stephen Robertson (SIGIR, 2008)

Model Adaptation via Model Interpolation and Boosting for Web Search Ranking. - Jianfeng Gao 001; Qiang Wu; Chris Burges; Krysta M. Svore; Yi Su; Nazan Khan; Shalin Shah; Hongyan Zhou (EMNLP, 2009)

Discovery of Term Variation in Japanese Web Search Queries. - Hisami Suzuki; Xiao Li; Jianfeng Gao 001 (EMNLP, 2009)

Smoothing clickthrough data for web search ranking. - Jianfeng Gao 001; Wei Yuan; Xiao Li; Kefeng Deng; Jian-Yun Nie (SIGIR, 2009)

Improved Monolingual Hypothesis Alignment for Machine Translation System Combination. - Xiaodong He 001; Mei Yang; Jianfeng Gao 001; Patrick Nguyen; Robert Moore (ACM Trans. Asian Lang. Inf. Process., 2009)

Learning Phrase-Based Spelling Error Models from Clickthrough Data. - Xu Sun 001; Jianfeng Gao 001; Daniel Micol; Chris Quirk (ACL, 2010)

Clickthrough-based translation models for web search: from word models to phrase models. - Jianfeng Gao 001; Xiaodong He 001; Jian-Yun Nie (CIKM, 2010)

A comparison of unsupervised methods for Part-of-Speech Tagging in Chinese. - Alex Cheng; Fei Xia; Jianfeng Gao 001 (COLING (Posters), 2010)

A Large Scale Ranker-Based System for Search Query Spelling Correction. - Jianfeng Gao 001; Xiaolong Li; Daniel Micol; Chris Quirk; Xu Sun 001 (COLING, 2010)

The MSRA machine translation system for IWSLT 2010. - Chi-Ho Li; Nan Duan; Yinggong Zhao; Shujie Liu 001; Lei Cui 001; Mei-Yuh Hwang; Amittai Axelrod; Jianfeng Gao 001; Yaodong Zhang; Li Deng 001 (IWSLT, 2010)

Multi-style language model for web scale information retrieval. - Kuansan Wang; Xiaolong Li; Jianfeng Gao 001 (SIGIR, 2010)

Exploring web scale language models for search query processing. - Jian Huang 002; Jianfeng Gao 001; Jiangbo Miao; Xiaolong Li; Kuansan Wang; Fritz Behr; C. Lee Giles (WWW, 2010)

Optimizing two stage bigram language models for IR. - Sara Javanmardi; Jianfeng Gao 001; Kuansan Wang (WWW, 2010)

Adapting boosting for information retrieval measures. - Qiang Wu; Christopher J. C. Burges; Krysta M. Svore; Jianfeng Gao 001 (Inf. Retr., 2010)

Domain Adaptation via Pseudo In-Domain Data Selection. - Amittai Axelrod; Xiaodong He 001; Jianfeng Gao 001 (EMNLP, 2011)

Clickthrough-based latent semantic models for web search. - Jianfeng Gao 001; Kristina Toutanova; Wen-tau Yih (SIGIR, 2011)

Translingual Mining from Text Data. - Jian-Yun Nie; Jianfeng Gao 001; Guihong Cao (Mining Text Data, 2012)

Combining Signals for Cross-Lingual Relevance Feedback. - Kristen Parton; Jianfeng Gao 001 (AIRS, 2012)

Learning Lexicon Models from Search Logs for Query Expansion. - Jianfeng Gao 001; Shasha Xie; Xiaodong He 001; Alnur Ali (EMNLP-CoNLL, 2012)

A Unified Approach to Transliteration-based Text Input with Online Spelling Correction. - Hisami Suzuki; Jianfeng Gao 001 (EMNLP-CoNLL, 2012)

MSR SPLAT, a language analysis toolkit. - Chris Quirk; Pallavi Choudhury; Jianfeng Gao 001; Hisami Suzuki; Kristina Toutanova; Michael Gamon; Wen-tau Yih; Colin Cherry; Lucy Vanderwende (HLT-NAACL, 2012)

Modeling click-through based word-pairs for web search. - Jagadeesh Jagarlamudi; Jianfeng Gao 001 (WWW (Companion Volume), 2012)

Learning deep structured semantic models for web search using clickthrough data. - Po-Sen Huang; Xiaodong He 001; Jianfeng Gao 001; Li Deng 001; Alex Acero; Larry P. Heck (CIKM, 2013)

Deep stacking networks for information retrieval. - Li Deng 001; Xiaodong He 001; Jianfeng Gao 001 (ICASSP, 2013)

End-to-end learning of parsing models for information retrieval. - Jennifer Gillenwater; Xiaodong He 001; Jianfeng Gao 001; Li Deng 001 (ICASSP, 2013)

Training MRF-Based Phrase Translation Models using Gradient Ascent. - Jianfeng Gao 001; Xiaodong He 001 (HLT-NAACL, 2013)

Beyond Left-to-Right: Multiple Decomposition Structures for SMT. - Hui Zhang; Kristina Toutanova; Chris Quirk; Jianfeng Gao 001 (HLT-NAACL, 2013)

Query expansion using path-constrained random walks. - Jianfeng Gao 001; Gu Xu; Jinxi Xu (SIGIR, 2013)

Learning Semantic Representations for the Phrase Translation Model. - Jianfeng Gao 001; Xiaodong He 001; Wen-tau Yih; Li Deng 001 (CoRR, 2013)

Online Classification Using a Voted RDA Method. - Tianbing Xu; Jianfeng Gao 001; Lin Xiao; Amelia C. Regan (AAAI, 2014)

Decoder Integration and Expected BLEU Training for Recurrent Neural Network Language Models. - Michael Auli; Jianfeng Gao 001 (ACL (2), 2014)

Learning Continuous Phrase Representations for Translation Modeling. - Jianfeng Gao 001; Xiaodong He 001; Wen-tau Yih; Li Deng 001 (ACL (1), 2014)

A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval. - Yelong Shen; Xiaodong He 001; Jianfeng Gao 001; Li Deng 001; Grégoire Mesnil (CIKM, 2014)

Minimum Translation Modeling with Recurrent Neural Networks. - Yuening Hu; Michael Auli; Qin Gao; Jianfeng Gao 001 (EACL, 2014)

Large-scale Expected BLEU Training of Phrase-based Reordering Models. - Michael Auli; Michel Galley; Jianfeng Gao 001 (EMNLP, 2014)

Modeling Interestingness with Deep Neural Networks. - Jianfeng Gao 001; Patrick Pantel; Michael Gamon; Xiaodong He 001; Li Deng 001 (EMNLP, 2014)

Learning semantic representations using convolutional neural networks for web search. - Yelong Shen; Xiaodong He 001; Jianfeng Gao 001; Li Deng 001; Grégoire Mesnil (WWW (Companion Volume), 2014)

Semantic Modelling with Long-Short-Term Memory for Information Retrieval. - Hamid Palangi; Li Deng 001; Yelong Shen; Jianfeng Gao 001; Xiaodong He 001; Jianshu Chen; Xinying Song; Rabab K. Ward (CoRR, 2014)

Learning Multi-Relational Semantics Using Neural-Embedding Models. - Bishan Yang; Wen-tau Yih; Xiaodong He 001; Jianfeng Gao 001; Li Deng 001 (CoRR, 2014)

deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets. - Michel Galley; Chris Brockett; Alessandro Sordoni; Yangfeng Ji; Michael Auli; Chris Quirk; Margaret Mitchell; Jianfeng Gao 001; Bill Dolan (ACL (2), 2015)

Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base. - Wen-tau Yih; Ming-Wei Chang; Xiaodong He 001; Jianfeng Gao 001 (ACL (1), 2015)

From captions to visual concepts and back. - Hao Fang 002; Saurabh Gupta 001; Forrest N. Iandola; Rupesh Kumar Srivastava; Li Deng 001; Piotr Dollár; Jianfeng Gao 001; Xiaodong He 001; Margaret Mitchell; John C. Platt; C. Lawrence Zitnick; Geoffrey Zweig (CVPR, 2015)

A Deep Embedding Model for Co-occurrence Learning. - Yelong Shen; Ruoming Jin; Jianshu Chen; Xiaodong He 001; Jianfeng Gao 001; Li Deng 001 (ICDM Workshops, 2015)

Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval. - Xiaodong Liu 003; Jianfeng Gao 001; Xiaodong He 001; Li Deng 001; Kevin Duh; Ye-Yi Wang (HLT-NAACL, 2015)

A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. - Alessandro Sordoni; Michel Galley; Michael Auli; Chris Brockett; Yangfeng Ji; Margaret Mitchell; Jian-Yun Nie; Jianfeng Gao 001; Bill Dolan (HLT-NAACL, 2015)

Deep Learning and Continuous Representations for Natural Language Processing. - Wen-tau Yih; Xiaodong He 001; Jianfeng Gao 001 (HLT-NAACL, 2015)

End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture. - Jianshu Chen; Ji He; Yelong Shen; Lin Xiao; Xiaodong He 001; Jianfeng Gao 001; Xinying Song; Li Deng 001 (NIPS, 2015)

End-to-end Learning of Latent Dirichlet Allocation by Mirror-Descent Back Propagation. - Jianshu Chen; Ji He; Yelong Shen; Lin Xiao; Xiaodong He 001; Jianfeng Gao 001; Xinying Song; Li Deng 001 (CoRR, 2015)

Deep Reinforcement Learning with an Unbounded Action Space. - Ji He; Jianshu Chen; Xiaodong He 001; Jianfeng Gao 001; Lihong Li 001; Li Deng 001; Mari Ostendorf (CoRR, 2015)

Recurrent Reinforcement Learning: A Hybrid Approach. - Xiujun Li; Lihong Li 001; Jianfeng Gao 001; Xiaodong He 001; Jianshu Chen; Li Deng 001; Ji He (CoRR, 2015)

Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval. - Hamid Palangi; Li Deng 001; Yelong Shen; Jianfeng Gao 001; Xiaodong He 001; Jianshu Chen; Xinying Song; Rabab K. Ward (CoRR, 2015)

Embedding Entities and Relations for Learning and Inference in Knowledge Bases. - Bishan Yang; Wen-tau Yih; Xiaodong He 001; Jianfeng Gao 001; Li Deng 001 (ICLR (Poster), 2015)

Deep Reinforcement Learning with a Natural Language Action Space. - Ji He; Jianshu Chen; Xiaodong He 001; Jianfeng Gao 001; Lihong Li 001; Li Deng 001; Mari Ostendorf (ACL (1), 2016)

A Persona-Based Neural Conversation Model. - Jiwei Li 001; Michel Galley; Chris Brockett; Georgios P. Spithourakis; Jianfeng Gao 001; William B. Dolan (ACL (1), 2016)

Stacked Attention Networks for Image Question Answering. - Zichao Yang; Xiaodong He 001; Jianfeng Gao 001; Li Deng 001; Alexander J. Smola (CVPR, 2016)

MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition. - Yandong Guo; Lei Zhang 001; Yuxiao Hu 001; Xiaodong He 001; Jianfeng Gao 001 (ECCV (3), 2016)

MS-Celeb-1M: Challenge of Recognizing One Million Celebrities in the Real World. - Yandong Guo; Lei Zhang 001; Yuxiao Hu 001; Xiaodong He 001; Jianfeng Gao 001 (IMAWM, 2016)

Bi-directional Attention with Agreement for Dependency Parsing. - Hao Cheng 002; Hao Fang 002; Xiaodong He 001; Jianfeng Gao 001; Li Deng 001 (EMNLP, 2016)

Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads. - Ji He; Mari Ostendorf; Xiaodong He 001; Jianshu Chen; Jianfeng Gao 001; Lihong Li 001; Li Deng 001 (EMNLP, 2016)

Deep Reinforcement Learning for Dialogue Generation. - Jiwei Li 001; Will Monroe; Alan Ritter; Dan Jurafsky; Michel Galley; Jianfeng Gao 001 (EMNLP, 2016)

Interpreting the prediction process of a deep network constructed from supervised topic models. - Jianshu Chen; Ji He; Xiaodong He 001; Lin Xiao; Jianfeng Gao 001; Li Deng 001 (ICASSP, 2016)

End-to-End Memory Networks with Knowledge Carryover for Multi-Turn Spoken Language Understanding. - Yun-Nung Chen; Dilek Hakkani-Tür; Gökhan Tür; Jianfeng Gao 001; Li Deng 001 (INTERSPEECH, 2016)

Multi-Domain Joint Semantic Frame Parsing Using Bi-Directional RNN-LSTM. - Dilek Hakkani-Tür; Gökhan Tür; Asli Celikyilmaz; Yun-Nung Chen; Jianfeng Gao 001; Li Deng 001; Ye-Yi Wang (INTERSPEECH, 2016)

A Diversity-Promoting Objective Function for Neural Conversation Models. - Jiwei Li 001; Michel Galley; Chris Brockett; Jianfeng Gao 001; Bill Dolan (HLT-NAACL, 2016)

MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. - Tri Nguyen; Mir Rosenberg; Xia Song; Jianfeng Gao 001; Saurabh Tiwary; Rangan Majumder; Li Deng 001 (CoCo@NIPS, 2016)

ReasoNet: Learning to Stop Reading in Machine Comprehension. - Yelong Shen; Po-Sen Huang; Jianfeng Gao 001; Weizhu Chen (CoCo@NIPS, 2016)

Learning for Efficient Supervised Query Expansion via Two-stage Feature Selection. - Zhiwei Zhang; Qifan Wang 001; Luo Si; Jianfeng Gao 001 (SIGIR, 2016)

Syntax or semantics? knowledge-guided joint semantic frame parsing. - Yun-Nung Chen; Dilek Hakanni-Tur; Gökhan Tür; Asli Celikyilmaz; Jianfeng Gao 001; Li Deng 001 (SLT, 2016)

Query Understanding for Search on All Devices at WSDM 2016. - Amit Goyal 001; Jianfeng Gao 001; Hongbo Deng; Yi Chang 001 (WSDM, 2016)

Unsupervised Learning of Predictors from Unpaired Input-Output Samples. - Jianshu Chen; Po-Sen Huang; Xiaodong He 001; Jianfeng Gao 001; Li Deng 001 (CoRR, 2016)

Knowledge as a Teacher: Knowledge-Guided Structural Attention Networks. - Yun-Nung Chen; Dilek Hakkani-Tür; Gökhan Tür; Asli Celikyilmaz; Jianfeng Gao 001; Li Deng 001 (CoRR, 2016)

End-to-End Reinforcement Learning of Dialogue Agents for Information Access. - Bhuwan Dhingra; Lihong Li 001; Xiujun Li; Jianfeng Gao 001; Yun-Nung Chen; Faisal Ahmed 001; Li Deng 001 (CoRR, 2016)

Deep Reinforcement Learning with a Combinatorial Action Space for Predicting and Tracking Popular Discussion Threads. - Ji He; Mari Ostendorf; Xiaodong He 001; Jianshu Chen; Jianfeng Gao 001; Lihong Li 001; Li Deng 001 (CoRR, 2016)

Reasoning in Vector Space: An Exploratory Study of Question Answering. - Moontae Lee; Xiaodong He 001; Wen-tau Yih; Jianfeng Gao 001; Li Deng 001; Paul Smolensky (ICLR (Poster), 2016)

A User Simulator for Task-Completion Dialogues. - Xiujun Li; Zachary C. Lipton; Bhuwan Dhingra; Lihong Li 001; Jianfeng Gao 001; Yun-Nung Chen (CoRR, 2016)

Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear. - Zachary C. Lipton; Jianfeng Gao 001; Lihong Li 001; Jianshu Chen; Li Deng 001 (CoRR, 2016)

Efficient Exploration for Dialog Policy Learning with Deep BBQ Networks & Replay Buffer Spiking. - Zachary C. Lipton; Jianfeng Gao 001; Lihong Li 001; Xiujun Li; Faisal Ahmed 001; Li Deng 001 (CoRR, 2016)

Implicit ReasoNet: Modeling Large-Scale Structured Relationships with Shared Memory. - Yelong Shen; Po-Sen Huang; Ming-Wei Chang; Jianfeng Gao 001 (CoRR, 2016)

Basic Reasoning with Tensor Product Representations. - Paul Smolensky; Moontae Lee; Xiaodong He 001; Wen-tau Yih; Jianfeng Gao 001; Li Deng 001 (CoRR, 2016)

Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval. - Hamid Palangi; Li Deng 001; Yelong Shen; Jianfeng Gao 001; Xiaodong He 001; Jianshu Chen; Xinying Song; Rabab K. Ward (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access. - Bhuwan Dhingra; Lihong Li 001; Xiujun Li; Jianfeng Gao 001; Yun-Nung Chen; Faisal Ahmed 001; Li Deng 001 (ACL (1), 2017)

A Nested Attention Neural Hybrid Model for Grammatical Error Correction. - Jianshu Ji; Qinlong Wang; Kristina Toutanova; Yongen Gong; Steven Truong; Jianfeng Gao 001 (ACL (1), 2017)

Deep Context Modeling for Web Query Entity Disambiguation. - Zhen Liao; Xinying Song; Yelong Shen; Saekoo Lee; Jianfeng Gao 001; Ciya Liao (CIKM, 2017)

StyleNet: Generating Attractive Visual Captions with Styles. - Chuang Gan 001; Zhe Gan; Xiaodong He 001; Jianfeng Gao 001; Li Deng 001 (CVPR, 2017)

Semantic Compositional Networks for Visual Captioning. - Zhe Gan; Chuang Gan 001; Xiaodong He 001; Yunchen Pu; Kenneth Tran; Jianfeng Gao 001; Lawrence Carin; Li Deng 001 (CVPR, 2017)

Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning. - Baolin Peng; Xiujun Li; Lihong Li 001; Jianfeng Gao 001; Asli Celikyilmaz; Sungjin Lee; Kam-Fai Wong (EMNLP, 2017)

Character-level deep conflation for business data analytics. - Zhe Gan; P. D. Singh; Ameet Joshi; Xiaodong He 001; Jianshu Chen; Jianfeng Gao 001; Li Deng 001 (ICASSP, 2017)

End-to-end joint learning of natural language understanding and dialogue manager. - Xuesong Yang; Yun-Nung Chen; Dilek Hakkani-Tür; Paul A. Crook; Xiujun Li; Jianfeng Gao 001; Li Deng 001 (ICASSP, 2017)

TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency. - Adji B. Dieng; Chong Wang 002; Jianfeng Gao 001; John W. Paisley (ICLR (Poster), 2017)

Open-Domain Neural Dialogue Systems. - Yun-Nung Chen; Jianfeng Gao 001 (IJCNLP (Tutorial Abstracts), 2017)

End-to-End Task-Completion Neural Dialogue Systems. - Xiujun Li; Yun-Nung Chen; Lihong Li 001; Jianfeng Gao 001; Asli Celikyilmaz (IJCNLP(1), 2017)

Multi-Task Learning for Speaker-Role Adaptation in Neural Conversation Models. - Yi Luan; Chris Brockett; Bill Dolan; Jianfeng Gao 001; Michel Galley (IJCNLP(1), 2017)

Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation. - Nasrin Mostafazadeh; Chris Brockett; Bill Dolan; Michel Galley; Jianfeng Gao 001; Georgios P. Spithourakis; Lucy Vanderwende (IJCNLP(1), 2017)

An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks. - Yelong Shen; Xiaodong Liu 003; Kevin Duh; Jianfeng Gao 001 (IJCNLP(1), 2017)

Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion. - Yelong Shen; Po-Sen Huang; Ming-Wei Chang; Jianfeng Gao 001 (Rep4NLP@ACL, 2017)

End-to-End Task-Completion Neural Dialogue Systems. - Xiujun Li; Yun-Nung Chen; Lihong Li 001; Jianfeng Gao 001 (CoRR, 2017)

Investigation of Language Understanding Impact for Reinforcement Learning Based Dialogue Systems. - Xiujun Li; Yun-Nung Chen; Lihong Li 001; Jianfeng Gao 001; Asli Celikyilmaz (CoRR, 2017)

Composite Task-Completion Dialogue System via Hierarchical Deep Reinforcement Learning. - Baolin Peng; Xiujun Li; Lihong Li 001; Jianfeng Gao 001; Asli Celikyilmaz; Sungjin Lee; Kam-Fai Wong (CoRR, 2017)

Towards Human-level Machine Reading Comprehension: Reasoning and Inference with Multiple Strategies. - Yichong Xu; Jingjing Liu 001; Jianfeng Gao 001; Yelong Shen; Xiaodong Liu 003 (CoRR, 2017)

A Knowledge-Grounded Neural Conversation Model. - Marjan Ghazvininejad; Chris Brockett; Ming-Wei Chang; Bill Dolan; Jianfeng Gao 001; Wen-tau Yih; Michel Galley (AAAI, 2018)

BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems. - Zachary C. Lipton; Xiujun Li; Jianfeng Gao 001; Lihong Li 001; Faisal Ahmed 001; Li Deng 001 (AAAI, 2018)

Stochastic Answer Networks for Machine Reading Comprehension. - Xiaodong Liu 003; Yelong Shen; Kevin Duh; Jianfeng Gao 001 (ACL (1), 2018)

Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning. - Baolin Peng; Xiujun Li; Jianfeng Gao 001; Jingjing Liu 001; Kam-Fai Wong (ACL (1), 2018)

Language-Based Image Editing With Recurrent Attentive Models. - Jianbo Chen; Yelong Shen; Jianfeng Gao 001; Jingjing Liu 001; Xiaodong Liu 003 (CVPR, 2018)

Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning. - Shang-Yu Su; Xiujun Li; Jianfeng Gao 001; Jingjing Liu 001; Yun-Nung Chen (EMNLP, 2018)

Subgoal Discovery for Hierarchical Dialogue Policy Learning. - Da Tang; Xiujun Li; Jianfeng Gao 001; Chong Wang 002; Lihong Li 001; Tony Jebara (EMNLP, 2018)

Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning. - Baolin Peng; Xiujun Li; Jianfeng Gao 001; Jingjing Liu 001; Yun-Nung Chen; Kam-Fai Wong (ICASSP, 2018)

ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. - Yelong Shen; Jianshu Chen; Po-Sen Huang; Yuqing Guo; Jianfeng Gao 001 (ICLR (Workshop), 2018)

Discourse-Aware Neural Rewards for Coherent Text Generation. - Antoine Bosselut; Asli Celikyilmaz; Xiaodong He 001; Jianfeng Gao 001; Po-Sen Huang; Yejin Choi 001 (NAACL-HLT, 2018)

M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search. - Yelong Shen; Jianshu Chen; Po-Sen Huang; Yuqing Guo; Jianfeng Gao 001 (NeurIPS, 2018)

Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization. - Yizhe Zhang 002; Michel Galley; Jianfeng Gao 001; Zhe Gan; Xiujun Li; Chris Brockett; Bill Dolan (NeurIPS, 2018)

Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models. - Minjia Zhang; Wenhan Wang; Xiaodong Liu 003; Jianfeng Gao 001; Yuxiong He (NeurIPS, 2018)

Integrating planning for task-completion dialogue policy learning. - Baolin Peng; Xiujun Li; Jianfeng Gao 001; Jingjing Liu 001; Kam-Fai Wong (CoRR, 2018)

Stochastic Answer Networks for Natural Language Inference. - Xiaodong Liu 003; Kevin Duh; Jianfeng Gao 001 (CoRR, 2018)

The Neural Painter: Multi-Turn Image Generation. - Ryan Y. Benmalek; Claire Cardie; Serge J. Belongie; Xiaodong He 001; Jianfeng Gao 001 (CoRR, 2018)

Microsoft Dialogue Challenge: Building End-to-End Task-Completion Dialogue Systems. - Xiujun Li; Sarah Panda; Jingjing Liu 001; Jianfeng Gao 001 (CoRR, 2018)

Multi-Task Learning for Machine Reading Comprehension. - Yichong Xu; Xiaodong Liu 003; Yelong Shen; Jingjing Liu 001; Jianfeng Gao 001 (CoRR, 2018)

Stochastic Answer Networks for SQuAD 2.0. - Xiaodong Liu 003; Wei Li; Yuwei Fang; Aerin Kim; Kevin Duh; Jianfeng Gao 001 (CoRR, 2018)

ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension. - Sheng Zhang 012; Xiaodong Liu 003; Jingjing Liu 001; Jianfeng Gao 001; Kevin Duh; Benjamin Van Durme (CoRR, 2018)

A bird's-eye view on coherence, and a worm's-eye view on cohesion. - Woon Sang Cho; Pengchuan Zhang; Yizhe Zhang 002; Xiujun Li; Michel Galley; Mengdi Wang; Jianfeng Gao 001 (CoRR, 2018)

Sequential Attention GAN for Interactive Image Editing via Dialogue. - Yu Cheng 001; Zhe Gan; Yitong Li 001; Jingjing Liu 001; Jianfeng Gao 001 (CoRR, 2018)

Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. - Yuexin Wu; Xiujun Li; Jingjing Liu 001; Jianfeng Gao 001; Yiming Yang (AAAI, 2019)

Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning. - Ziyu Yao 002; Xiujun Li; Jianfeng Gao 001; Brian M. Sadler; Huan Sun 001 (AAAI, 2019)

Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog. - Zhe Gan; Yu Cheng 001; Ahmed El Kholy; Linjie Li; Jingjing Liu 001; Jianfeng Gao 001 (ACL (1), 2019)

ConvLab: Multi-Domain End-to-End Dialog System Platform. - Sungjin Lee; Qi Zhu 007; Ryuichi Takanobu; Zheng Zhang 020; Yaoqin Zhang; Xiang Li 001; Jinchao Li; Baolin Peng; Xiujun Li; Minlie Huang; Jianfeng Gao 001 (ACL (3), 2019)

Multi-Task Deep Neural Networks for Natural Language Understanding. - Xiaodong Liu 003; Pengcheng He; Weizhu Chen; Jianfeng Gao 001 (ACL (1), 2019)

Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading. - Lianhui Qin; Michel Galley; Chris Brockett; Xiaodong Liu 003; Xiang Gao 011; Bill Dolan; Yejin Choi 001; Jianfeng Gao 001 (ACL (1), 2019)

Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. - Dinghan Shen; Asli Celikyilmaz; Yizhe Zhang 002; Liqun Chen 001; Xin Wang 061; Jianfeng Gao 001; Lawrence Carin (ACL (1), 2019)

Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling. - Vighnesh Leonardo Shiv; Chris Quirk; Anshuman Suri; Xiang Gao 011; Khuram Shahid; Nithya Govindarajan; Yizhe Zhang 002; Jianfeng Gao 001; Michel Galley; Chris Brockett; Tulasi Menon; Bill Dolan (ACL (3), 2019)

Budgeted Policy Learning for Task-Oriented Dialogue Systems. - Zhirui Zhang; Xiujun Li; Jianfeng Gao 001; Enhong Chen (ACL (1), 2019)

DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain. - Yichong Xu; Xiaodong Liu 003; Chunyuan Li; Hoifung Poon; Jianfeng Gao 001 (BioNLP@ACL, 2019)

A Hybrid Retrieval-Generation Neural Conversation Model. - Liu Yang 005; Junjie Hu 001; Minghui Qiu; Chen Qu 001; Jianfeng Gao 001; W. Bruce Croft; Xiaodong Liu 003; Yelong Shen; Jingjing Liu 001 (CIKM, 2019)

Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation. - Liyiming Ke; Xiujun Li; Yonatan Bisk; Ari Holtzman; Zhe Gan; Jingjing Liu 001; Jianfeng Gao 001; Yejin Choi 001; Siddhartha S. Srinivasa (CVPR, 2019)

StoryGAN: A Sequential Conditional GAN for Story Visualization. - Yitong Li 001; Zhe Gan; Yelong Shen; Jingjing Liu 001; Yu Cheng 001; Yuexin Wu; Lawrence Carin; David E. Carlson; Jianfeng Gao 001 (CVPR, 2019)

Object-Driven Text-To-Image Synthesis via Adversarial Training. - Wenbo Li 001; Pengchuan Zhang; Lei Zhang 001; Qiuyuan Huang; Xiaodong He 001; Siwei Lyu; Jianfeng Gao 001 (CVPR, 2019)

Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation. - Xin Wang 061; Qiuyuan Huang; Asli Celikyilmaz; Jianfeng Gao 001; Dinghan Shen; Yuan-Fang Wang; William Yang Wang; Lei Zhang 001 (CVPR, 2019)

Implicit Deep Latent Variable Models for Text Generation. - Le Fang; Chunyuan Li; Jianfeng Gao 001; Wen Dong 001; Changyou Chen (EMNLP/IJCNLP (1), 2019)

Structuring Latent Spaces for Stylized Response Generation. - Xiang Gao 011; Yizhe Zhang 002; Sungjin Lee; Michel Galley; Chris Brockett; Jianfeng Gao 001; Bill Dolan (EMNLP/IJCNLP (1), 2019)

REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning. - Ming Jiang 018; Junjie Hu 001; Qiuyuan Huang; Lei Zhang 001; Jana Diesner; Jianfeng Gao 001 (EMNLP/IJCNLP (1), 2019)

TIGEr: Text-to-Image Grounding for Image Caption Evaluation. - Ming Jiang 018; Qiuyuan Huang; Lei Zhang 001; Xin Wang 061; Pengchuan Zhang; Zhe Gan; Jana Diesner; Jianfeng Gao 001 (EMNLP/IJCNLP (1), 2019)

Robust Navigation with Language Pretraining and Stochastic Sampling. - Xiujun Li; Chunyuan Li; Qiaolin Xia; Yonatan Bisk; Asli Celikyilmaz; Jianfeng Gao 001; Noah A. Smith; Yejin Choi 001 (EMNLP/IJCNLP (1), 2019)

Adversarial Domain Adaptation for Machine Reading Comprehension. - Huazheng Wang; Zhe Gan; Xiaodong Liu 003; Jingjing Liu 001; Jianfeng Gao 001; Hongning Wang (EMNLP/IJCNLP (1), 2019)

Towards an Open-Doman Dialog System. - Jianfeng Gao 001 (ICTIR, 2019)

Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing. - Hao Fu 002; Chunyuan Li; Xiaodong Liu 003; Jianfeng Gao 001; Asli Celikyilmaz; Lawrence Carin (NAACL-HLT (1), 2019)

Jointly Optimizing Diversity and Relevance in Neural Response Generation. - Xiang Gao 011; Sungjin Lee; Yizhe Zhang 002; Chris Brockett; Michel Galley; Jianfeng Gao 001; Bill Dolan (NAACL-HLT (1), 2019)

Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. - Shuohang Wang; Sheng Zhang 012; Yelong Shen; Xiaodong Liu 003; Jingjing Liu 001; Jianfeng Gao 001; Jing Jiang 001 (NAACL-HLT (1), 2019)

Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension. - Yichong Xu; Xiaodong Liu 003; Yelong Shen; Jingjing Liu 001; Jianfeng Gao 001 (NAACL-HLT (1), 2019)

Unified Language Model Pre-training for Natural Language Understanding and Generation. - Li Dong 004; Nan Yang 002; Wenhui Wang 003; Furu Wei; Xiaodong Liu 003; Yu Wang 009; Jianfeng Gao 001; Ming Zhou 001; Hsiao-Wuen Hon (NeurIPS, 2019)

Dialog System Technology Challenge 7. - Koichiro Yoshino; Chiori Hori; Julien Perez; Luis Fernando D'Haro; Lazaros Polymenakos; R. Chulaka Gunasekara; Walter S. Lasecki; Jonathan K. Kummerfeld; Michel Galley; Chris Brockett; Jianfeng Gao 001; Bill Dolan; et al. (CoRR, 2019)

Consistent Dialogue Generation with Self-supervised Feature Learning. - Yizhe Zhang 002; Xiang Gao 011; Sungjin Lee; Chris Brockett; Michel Galley; Jianfeng Gao 001; Bill Dolan (CoRR, 2019)

Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding. - Xiaodong Liu 003; Pengcheng He; Weizhu Chen; Jianfeng Gao 001 (CoRR, 2019)

Towards Amortized Ranking-Critical Training for Collaborative Filtering. - Sam Lobel; Chunyuan Li; Jianfeng Gao 001; Lawrence Carin (CoRR, 2019)

A Hybrid Neural Network Model for Commonsense Reasoning. - Pengcheng He; Xiaodong Liu 003; Weizhu Chen; Jianfeng Gao 001 (CoRR, 2019)

Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators. - Kuang-Huei Lee; Hamid Palangi; Xi Chen; Houdong Hu; Jianfeng Gao 001 (CoRR, 2019)

Natural- to formal-language generation using Tensor Product Representations. - Kezhen Chen; Qiuyuan Huang; Hamid Palangi; Paul Smolensky; Kenneth D. Forbus; Jianfeng Gao 001 (CoRR, 2019)

Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving. - Imanol Schlag; Paul Smolensky; Roland Fernandez; Nebojsa Jojic; Jürgen Schmidhuber; Jianfeng Gao 001 (CoRR, 2019)

HUBERT Untangles BERT to Improve Transfer across NLP Tasks. - Mehrad Moradshahi; Hamid Palangi; Monica S. Lam; Paul Smolensky; Jianfeng Gao 001 (CoRR, 2019)

Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator. - Woon Sang Cho; Yizhe Zhang 002; Sudha Rao; Asli Celikyilmaz; Chenyan Xiong; Jianfeng Gao 001; Mengdi Wang; Bill Dolan (CoRR, 2019)

The Eighth Dialog System Technology Challenge. - Seokhwan Kim; Michel Galley; R. Chulaka Gunasekara; Sungjin Lee; Adam Atkinson; Baolin Peng; Hannes Schulz; Jianfeng Gao 001; Jinchao Li; Mahmoud Adada; Minlie Huang; Luis A. Lastras; et al. (CoRR, 2019)

Neural Approaches to Conversational AI. - Jianfeng Gao 001; Michel Galley; Lihong Li 001 (Found. Trends Inf. Retr., 2019)

PIQA: Reasoning about Physical Commonsense in Natural Language. - Yonatan Bisk; Rowan Zellers; Ronan Le Bras 001; Jianfeng Gao 001; Yejin Choi 001 (AAAI, 2020)

What Makes A Good Story? Designing Composite Rewards for Visual Storytelling. - Junjie Hu 001; Yu Cheng 001; Zhe Gan; Jingjing Liu 001; Jianfeng Gao 001; Graham Neubig (AAAI, 2020)

Complementary Auxiliary Classifiers for Label-Conditional Text Generation. - Yuan Li 032; Chunyuan Li; Yizhe Zhang 002; Xiujun Li; Guoqing Zheng; Lawrence Carin; Jianfeng Gao 001 (AAAI, 2020)

Unified Vision-Language Pre-Training for Image Captioning and VQA. - Luowei Zhou; Hamid Palangi; Lei Zhang 001; Houdong Hu; Jason J. Corso; Jianfeng Gao 001 (AAAI, 2020)

MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network. - Yi Wei 006; Zhe Gan; Wenbo Li 001; Siwei Lyu; Ming-Ching Chang; Lei Zhang 001; Jianfeng Gao 001; Pengchuan Zhang (ACCV (4), 2020)

SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization. - Haoming Jiang; Pengcheng He; Weizhu Chen; Xiaodong Liu 003; Jianfeng Gao 001; Tuo Zhao (ACL, 2020)

The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding. - Xiaodong Liu 003; Yu Wang 009; Jianshu Ji; Hao Cheng 002; Xueyun Zhu; Emmanuel Awa; Pengcheng He; Weizhu Chen; Hoifung Poon; Guihong Cao; Jianfeng Gao 001 (ACL (demo), 2020)

Conversation Learner - A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems. - Swadheen Shukla; Lars Liden; Shahin Shayandeh; Eslam Kamal; Jinchao Li; Matt Mazzola; Thomas Park; Baolin Peng; Jianfeng Gao 001 (ACL (demo), 2020)

MIND: A Large-scale Dataset for News Recommendation. - Fangzhao Wu; Ying Qiao; Jiun-Hung Chen; Chuhan Wu; Tao Qi; Jianxun Lian; Danyang Liu; Xing Xie 001; Jianfeng Gao 001; Winnie Wu; Ming Zhou 001 (ACL, 2020)

DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation. - Yizhe Zhang 002; Siqi Sun; Michel Galley; Yen-Chun Chen 001; Chris Brockett; Xiang Gao 011; Jianfeng Gao 001; Jingjing Liu 001; Bill Dolan (ACL (demo), 2020)

ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems. - Qi Zhu 007; Zheng Zhang 020; Yan Fang; Xiang Li 001; Ryuichi Takanobu; Jinchao Li; Baolin Peng; Jianfeng Gao 001; Xiaoyan Zhu 001; Minlie Huang (ACL (demo), 2020)

Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training. - Weituo Hao; Chunyuan Li; Xiujun Li; Lawrence Carin; Jianfeng Gao 001 (CVPR, 2020)

Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks. - Xiujun Li; Xi Yin 006; Chunyuan Li; Pengchuan Zhang; Xiaowei Hu 006; Lei Zhang 001; Lijuan Wang; Houdong Hu; Li Dong 004; Furu Wei; Yejin Choi 001; Jianfeng Gao 001 (ECCV (30), 2020)

Guided Dialogue Policy Learning without Adversarial Learning in the Loop. - Ziming Li 001; Sungjin Lee; Baolin Peng; Jinchao Li; Julia Kiseleva; Maarten de Rijke; Shahin Shayandeh; Jianfeng Gao 001 (EMNLP (Findings), 2020)

Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space. - Chunyuan Li; Xiang Gao 011; Yuan Li 032; Baolin Peng; Xiujun Li; Yizhe Zhang 002; Jianfeng Gao 001 (EMNLP (1), 2020)

Understanding the Difficulty of Training Transformers. - Liyuan Liu; Xiaodong Liu 003; Jianfeng Gao 001; Weizhu Chen; Jiawei Han 001 (EMNLP (1), 2020)

Few-shot Natural Language Generation for Task-Oriented Dialog. - Baolin Peng; Chenguang Zhu 001; Chunyuan Li; Xiujun Li; Jinchao Li; Michael Zeng 001; Jianfeng Gao 001 (EMNLP (Findings), 2020)

PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking. - Hannah Rashkin; Asli Celikyilmaz; Yejin Choi 001; Jianfeng Gao 001 (EMNLP (1), 2020)

RMM: A Recursive Mental Model for Dialog Navigation. - Homero Roman Roman; Yonatan Bisk; Jesse Thomason; Asli Celikyilmaz; Jianfeng Gao 001 (EMNLP (Findings), 2020)

On the Variance of the Adaptive Learning Rate and Beyond. - Liyuan Liu; Haoming Jiang; Pengcheng He; Weizhu Chen; Xiaodong Liu 003; Jianfeng Gao 001; Jiawei Han 001 (ICLR, 2020)

RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering. - Sam Lobel; Chunyuan Li; Jianfeng Gao 001; Lawrence Carin (ICLR, 2020)

UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training. - Hangbo Bao; Li Dong 004; Furu Wei; Wenhui Wang 003; Nan Yang 002; Xiaodong Liu 003; Yu Wang 009; Jianfeng Gao 001; Songhao Piao; Ming Zhou 001; Hsiao-Wuen Hon (ICML, 2020)

Mapping natural-language problems to formal-language solutions using structured neural representations. - Kezhen Chen; Qiuyuan Huang; Hamid Palangi; Paul Smolensky; Kenneth D. Forbus; Jianfeng Gao 001 (ICML, 2020)

Feature Quantization Improves GAN Training. - Yang Zhao; Chunyuan Li; Ping Yu; Jianfeng Gao 001; Changyou Chen (ICML, 2020)

Sequential Attention GAN for Interactive Image Editing. - Yu Cheng 001; Zhe Gan; Yitong Li 001; Jingjing Liu 001; Jianfeng Gao 001 (ACM Multimedia, 2020)

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. - Sewon Min; Jordan L. Boyd-Graber; Chris Alberti; Danqi Chen 001; Eunsol Choi; Michael Collins 001; Kelvin Guu; Hannaneh Hajishirzi; Kenton Lee; Jennimaria Palomaki; Colin Raffel; Adam Roberts; et al. (NeurIPS (Competition and Demos), 2020)

Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation. - Ryuichi Takanobu; Qi Zhu 007; Jinchao Li; Baolin Peng; Jianfeng Gao 001; Minlie Huang (SIGdial, 2020)

Recent Advances in Conversational Information Retrieval. - Jianfeng Gao 001; Chenyan Xiong; Paul Bennett 001 (SIGIR, 2020)

Few-Shot Generative Conversational Query Rewriting. - Shi Yu 001; Jiahua Liu; Jingqin Yang; Chenyan Xiong; Paul N. Bennett; Jianfeng Gao 001; Zhiyuan Liu 001 (SIGIR, 2020)

The Design and Implementation of XiaoIce, an Empathetic Social Chatbot. - Li Zhou; Jianfeng Gao 001; Di Li; Heung-Yeung Shum (Comput. Linguistics, 2020)

Multi-View Learning for Vision-and-Language Navigation. - Qiaolin Xia; Xiujun Li; Chunyuan Li; Yonatan Bisk; Zhifang Sui; Jianfeng Gao 001; Yejin Choi 001; Noah A. Smith (CoRR, 2020)

Guided Dialog Policy Learning without Adversarial Learning in the Loop. - Ziming Li 001; Sungjin Lee; Baolin Peng; Jinchao Li; Shahin Shayandeh; Jianfeng Gao 001 (CoRR, 2020)

Adversarial Training for Large Neural Language Models. - Xiaodong Liu 003; Hao Cheng 002; Pengcheng He; Weizhu Chen; Yu Wang 009; Hoifung Poon; Jianfeng Gao 001 (CoRR, 2020)

Data Augmentation for Spoken Language Understanding via Pretrained Models. - Baolin Peng; Chenguang Zhu 001; Michael Zeng 001; Jianfeng Gao 001 (CoRR, 2020)

SOLOIST: Few-shot Task-Oriented Dialog with A Single Pre-trained Auto-regressive Model. - Baolin Peng; Chunyuan Li; Jinchao Li; Shahin Shayandeh; Lars Liden; Jianfeng Gao 001 (CoRR, 2020)

Novel Human-Object Interaction Detection via Adversarial Domain Generalization. - Yuhang Song 003; Wenbo Li 001; Lei Zhang 001; Jianwei Yang; Emre Kiciman; Hamid Palangi; Jianfeng Gao 001; C.-C. Jay Kuo; Pengchuan Zhang (CoRR, 2020)

M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-training. - Minheng Ni; Haoyang Huang; Lin Su; Edward Cui; Taroon Bharti; Lijuan Wang; Jianfeng Gao 001; Dongdong Zhang 001; Nan Duan (CoRR, 2020)

Evaluation of Text Generation: A Survey. - Asli Celikyilmaz; Elizabeth Clark; Jianfeng Gao 001 (CoRR, 2020)

Very Deep Transformers for Neural Machine Translation. - Xiaodong Liu 003; Kevin Duh; Liyuan Liu; Jianfeng Gao 001 (CoRR, 2020)

Robust Conversational AI with Grounded Text Generation. - Jianfeng Gao 001; Baolin Peng; Chunyuan Li; Jinchao Li; Shahin Shayandeh; Lars Liden; Heung-Yeung Shum (CoRR, 2020)

VIVO: Surpassing Human Performance in Novel Object Captioning with Visual Vocabulary Pre-Training. - Xiaowei Hu 006; Xi Yin 006; Kevin Lin; Lijuan Wang; Lei Zhang 001; Jianfeng Gao 001; Zicheng Liu 001 (CoRR, 2020)

CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search. - Chenyan Xiong; Zhenghao Liu 001; Si Sun; Zhuyun Dai; Kaitao Zhang; Shi Yu 001; Zhiyuan Liu 001; Hoifung Poon; Jianfeng Gao 001; Paul Bennett 001 (CoRR, 2020)

Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language. - Hassan Akbari; Hamid Palangi; Jianwei Yang; Sudha Rao; Asli Celikyilmaz; Roland Fernandez; Paul Smolensky; Jianfeng Gao 001; Shih-Fu Chang (CoRR, 2020)

MiniVLM: A Smaller and Faster Vision-Language Model. - Jianfeng Wang; Xiaowei Hu 006; Pengchuan Zhang; Xiujun Li; Lijuan Wang; Lei Zhang 001; Jianfeng Gao 001; Zicheng Liu 001 (CoRR, 2020)

Self-supervised Pre-training with Hard Examples Improves Visual Representations. - Chunyuan Li; Xiujun Li; Lei Zhang 001; Baolin Peng; Mingyuan Zhou; Jianfeng Gao 001 (CoRR, 2020)

Few-Shot Named Entity Recognition: A Comprehensive Study. - Jiaxin Huang 001; Chunyuan Li; Krishan Subudhi; Damien Jose; Shobana Balakrishnan; Weizhu Chen; Baolin Peng; Jianfeng Gao 001; Jiawei Han 001 (CoRR, 2020)

Challenges in Building Intelligent Open-domain Dialog Systems. - Minlie Huang; Xiaoyan Zhu 001; Jianfeng Gao 001 (ACM Trans. Inf. Syst., 2020)

VIVO: Visual Vocabulary Pre-Training for Novel Object Captioning. - Xiaowei Hu 006; Xi Yin 006; Kevin Lin; Lei Zhang 001; Jianfeng Gao 001; Lijuan Wang; Zicheng Liu 001 (AAAI, 2021)

Data Augmentation for Abstractive Query-Focused Multi-Document Summarization. - Ramakanth Pasunuru; Asli Celikyilmaz; Michel Galley; Chenyan Xiong; Yizhe Zhang 002; Mohit Bansal; Jianfeng Gao 001 (AAAI, 2021)

A Controllable Model of Grounded Response Generation. - Zeqiu Wu; Michel Galley; Chris Brockett; Yizhe Zhang 002; Xiang Gao 011; Chris Quirk; Rik Koncel-Kedziorski; Jianfeng Gao 001; Hannaneh Hajishirzi; Mari Ostendorf; Bill Dolan (AAAI, 2021)

UnitedQA: A Hybrid Approach for Open Domain Question Answering. - Hao Cheng 002; Yelong Shen; Xiaodong Liu 003; Pengcheng He; Weizhu Chen; Jianfeng Gao 001 (ACL/IJCNLP (1), 2021)

GO FIGURE: A Meta Evaluation of Factuality in Summarization. - Saadia Gabriel; Asli Celikyilmaz; Rahul Jha; Yejin Choi 001; Jianfeng Gao 001 (ACL/IJCNLP (Findings), 2021)

Generation-Augmented Retrieval for Open-Domain Question Answering. - Yuning Mao; Pengcheng He; Xiaodong Liu 003; Yelong Shen; Jianfeng Gao 001; Jiawei Han 001; Weizhu Chen (ACL/IJCNLP (1), 2021)

Reader-Guided Passage Reranking for Open-Domain Question Answering. - Yuning Mao; Pengcheng He; Xiaodong Liu 003; Yelong Shen; Jianfeng Gao 001; Jiawei Han 001; Weizhu Chen (ACL/IJCNLP (Findings), 2021)

RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems. - Baolin Peng; Chunyuan Li; Zhu Zhang 001; Chenguang Zhu 001; Jinchao Li; Jianfeng Gao 001 (ACL/IJCNLP (1), 2021)

EmailSum: Abstractive Email Thread Summarization. - Shiyue Zhang 001; Asli Celikyilmaz; Jianfeng Gao 001; Mohit Bansal (ACL/IJCNLP (1), 2021)

Compositional processing emerges in neural networks solving math problems. - Jacob L. Russin; Roland Fernandez; Hamid Palangi; Eric Rosen; Nebojsa Jojic; Paul Smolensky; Jianfeng Gao 001 (CogSci, 2021)

VinVL: Revisiting Visual Representations in Vision-Language Models. - Pengchuan Zhang; Xiujun Li; Xiaowei Hu 006; Jianwei Yang; Lei Zhang 001; Lijuan Wang; Yejin Choi 001; Jianfeng Gao 001 (CVPR, 2021)

Contrastive Multi-document Question Generation. - Woon Sang Cho; Yizhe Zhang 002; Sudha Rao; Asli Celikyilmaz; Chenyan Xiong; Jianfeng Gao 001; Mengdi Wang; Bill Dolan (EACL, 2021)

NICE: Neural Image Commenting with Empathy. - Kezhen Chen; Qiuyuan Huang; Daniel McDuff; Xiang Gao 011; Hamid Palangi; Jianfeng Wang; Kenneth D. Forbus; Jianfeng Gao 001 (EMNLP (Findings), 2021)

HittER: Hierarchical Transformers for Knowledge Graph Embeddings. - Sanxing Chen; Xiaodong Liu 003; Jianfeng Gao 001; Jian Jiao 007; Ruofei Zhang; Yangfeng Ji (EMNLP (1), 2021)

Few-Shot Named Entity Recognition: An Empirical Baseline Study. - Jiaxin Huang 001; Chunyuan Li; Krishan Subudhi; Damien Jose; Shobana Balakrishnan; Weizhu Chen; Baolin Peng; Jianfeng Gao 001; Jiawei Han 001 (EMNLP (1), 2021)

Token-wise Curriculum Learning for Neural Machine Translation. - Chen Liang 006; Haoming Jiang; Xiaodong Liu 003; Pengcheng He; Weizhu Chen; Jianfeng Gao 001; Tuo Zhao (EMNLP (Findings), 2021)

ARCH: Efficient Adversarial Regularized Training with Caching. - Simiao Zuo; Chen Liang 006; Haoming Jiang; Pengcheng He; Xiaodong Liu 003; Jianfeng Gao 001; Weizhu Chen; Tuo Zhao (EMNLP (Findings), 2021)

Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach. - Simiao Zuo; Chen Liang 006; Haoming Jiang; Xiaodong Liu 003; Pengcheng He; Jianfeng Gao 001; Weizhu Chen; Tuo Zhao (EMNLP (1), 2021)

TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment. - Jianwei Yang; Yonatan Bisk; Jianfeng Gao 001 (ICCV, 2021)

Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding. - Pengchuan Zhang; Xiyang Dai; Jianwei Yang; Bin Xiao 004; Lu Yuan; Lei Zhang 001; Jianfeng Gao 001 (ICCV, 2021)

Deberta: decoding-Enhanced Bert with Disentangled Attention. - Pengcheng He; Xiaodong Liu 003; Jianfeng Gao 001; Weizhu Chen (ICLR, 2021)

Data Augmentation for Spoken Language Understanding via Pretrained Language Models. - Baolin Peng; Chenguang Zhu 001; Michael Zeng 001; Jianfeng Gao 001 (Interspeech, 2021)

Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. - Yu Wang 009; Jinchao Li; Tristan Naumann; Chenyan Xiong; Hao Cheng 002; Robert Tinn; Cliff Wong; Naoto Usuyama; Richard Rogahn; Zhihong Shen; Yang Qin; Eric Horvitz; et al. (KDD, 2021)

Posterior Differential Regularization with f-divergence for Improving Model Robustness. - Hao Cheng 002; Xiaodong Liu 003; Lis Pereira; Yaoliang Yu; Jianfeng Gao 001 (NAACL-HLT, 2021)

Text Editing by Command. - Felix Faltings; Michel Galley; Gerold Hintz; Chris Brockett; Chris Quirk; Jianfeng Gao 001; Bill Dolan (NAACL-HLT, 2021)

Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization. - Yichen Jiang; Asli Celikyilmaz; Paul Smolensky; Paul Soulos; Sudha Rao; Hamid Palangi; Roland Fernandez; Caitlin Smith; Mohit Bansal; Jianfeng Gao 001 (NAACL-HLT, 2021)

Targeted Adversarial Training for Natural Language Understanding. - Lis Pereira; Xiaodong Liu 003; Hao Cheng 002; Hoifung Poon; Jianfeng Gao 001; Ichiro Kobayashi (NAACL-HLT, 2021)

Few-Shot Learning Evaluation in Natural Language Understanding. - Subhabrata Mukherjee; Xiaodong Liu 003; Guoqing Zheng; Saghar Hosseini; Hao Cheng 002; Ge Yang; Christopher Meek; Ahmed Hassan Awadallah; Jianfeng Gao 001 (NeurIPS Datasets and Benchmarks, 2021)

Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models. - Boxin Wang; Chejian Xu; Shuohang Wang; Zhe Gan; Yu Cheng 001; Jianfeng Gao 001; Ahmed Hassan Awadallah; Bo Li 026 (NeurIPS Datasets and Benchmarks, 2021)

Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer. - Ge Yang; Edward J. Hu; Igor Babuschkin; Szymon Sidor; Xiaodong Liu 003; David Farhi; Nick Ryder; Jakub Pachocki; Weizhu Chen; Jianfeng Gao 001 (NeurIPS, 2021)

Focal Attention for Long-Range Interactions in Vision Transformers. - Jianwei Yang; Chunyuan Li; Pengchuan Zhang; Xiyang Dai; Bin Xiao 004; Lu Yuan; Jianfeng Gao 001 (NeurIPS, 2021)

VinVL: Making Visual Representations Matter in Vision-Language Models. - Pengchuan Zhang; Xiujun Li; Xiaowei Hu 006; Jianwei Yang; Lei Zhang 001; Lijuan Wang; Yejin Choi 001; Jianfeng Gao 001 (CoRR, 2021)

Adversarial Training as Stackelberg Game: An Unrolled Optimization Approach. - Simiao Zuo; Chen Liang 006; Haoming Jiang; Xiaodong Liu 003; Pengcheng He; Jianfeng Gao 001; Weizhu Chen; Tuo Zhao (CoRR, 2021)

Joint Retrieval and Generation Training for Grounded Text Generation. - Yizhe Zhang 002; Siqi Sun; Xiang Gao 011; Yuwei Fang; Chris Brockett; Michel Galley; Jianfeng Gao 001; Bill Dolan (CoRR, 2021)

XtremeDistilTransformers: Task Transfer for Task-agnostic Distillation. - Subhabrata Mukherjee; Ahmed Hassan Awadallah; Jianfeng Gao 001 (CoRR, 2021)

Focal Self-attention for Local-Global Interactions in Vision Transformers. - Jianwei Yang; Chunyuan Li; Pengchuan Zhang; Xiyang Dai; Bin Xiao 004; Lu Yuan; Jianfeng Gao 001 (CoRR, 2021)

Image Scene Graph Generation (SGG) Benchmark. - Xiaotian Han; Jianwei Yang; Houdong Hu; Lei Zhang 001; Jianfeng Gao 001; Pengchuan Zhang (CoRR, 2021)

LiST: Lite Self-training Makes Efficient Few-shot Learners. - Yaqing Wang 001; Subhabrata Mukherjee; Xiaodong Liu 003; Jing Gao 004; Ahmed Hassan Awadallah; Jianfeng Gao 001 (CoRR, 2021)

Open Domain Question Answering over Virtual Documents: A Unified Approach for Data and Text. - Kaixin Ma; Hao Cheng 002; Xiaodong Liu 003; Eric Nyberg; Jianfeng Gao 001 (CoRR, 2021)

SYNERGY: Building Task Bots at Scale Using Symbolic Knowledge and Machine Teaching. - Baolin Peng; Chunyuan Li; Zhu Zhang 001; Jinchao Li; Chenguang Zhu 001; Jianfeng Gao 001 (CoRR, 2021)

CLUES: Few-Shot Learning Evaluation in Natural Language Understanding. - Subhabrata Mukherjee; Xiaodong Liu 003; Guoqing Zheng; Saghar Hosseini; Hao Cheng 002; Greg Yang; Christopher Meek; Ahmed Hassan Awadallah; Jianfeng Gao 001 (CoRR, 2021)

Florence: A New Foundation Model for Computer Vision. - Lu Yuan; Dongdong Chen 001; Yi-Ling Chen; Noel Codella; Xiyang Dai; Jianfeng Gao 001; Houdong Hu; Xuedong Huang 001; Boxin Li; Chunyuan Li; Ce Liu 001; Mengchen Liu; et al. (CoRR, 2021)

Knowledge-Rich Self-Supervised Entity Linking. - Sheng Zhang 012; Hao Cheng 002; Shikhar Vashishth; Cliff Wong; Jinfeng Xiao; Xiaodong Liu 003; Tristan Naumann; Jianfeng Gao 001; Hoifung Poon (CoRR, 2021)

Vision-Language Navigation Policy Learning and Adaptation. - Xin Wang 061; Qiuyuan Huang; Asli Celikyilmaz; Jianfeng Gao 001; Dinghan Shen; Yuan-Fang Wang; William Yang Wang; Lei Zhang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

SOLOIST: Building Task Bots at Scale with Transfer Learning and Machine Teaching. - Baolin Peng; Chunyuan Li; Jinchao Li; Shahin Shayandeh; Lars Liden; Jianfeng Gao 001 (Trans. Assoc. Comput. Linguistics, 2021)

Overview of the Eighth Dialog System Technology Challenge: DSTC8. - Seokhwan Kim; Michel Galley; R. Chulaka Gunasekara; Sungjin Lee; Adam Atkinson; Baolin Peng; Hannes Schulz; Jianfeng Gao 001; Jinchao Li; Mahmoud Adada; Minlie Huang; Luis A. Lastras; et al. (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

ValueNet: A New Dataset for Human Value Driven Dialogue System. - Liang Qiu 001; Yizhou Zhao; Jinchao Li; Pan Lu; Baolin Peng; Jianfeng Gao 001; Song-Chun Zhu (AAAI, 2022)

RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling. - Yizhe Zhang 002; Siqi Sun; Xiang Gao 011; Yuwei Fang; Chris Brockett; Michel Galley; Jianfeng Gao 001; Bill Dolan (AAAI, 2022)

Open Domain Question Answering with A Unified Knowledge Interface. - Kaixin Ma; Hao Cheng 002; Xiaodong Liu 003; Eric Nyberg; Jianfeng Gao 001 (ACL (1), 2022)

WebQA: Multihop and Multimodal QA. - Yingshan Chang; Guihong Cao; Mridu Narang; Jianfeng Gao 001; Hisami Suzuki; Yonatan Bisk (CVPR, 2022)

Grounded Language-Image Pre-training. - Liunian Harold Li; Pengchuan Zhang; Haotian Zhang 005; Jianwei Yang; Chunyuan Li; Yiwu Zhong; Lijuan Wang; Lu Yuan; Lei Zhang 001; Jenq-Neng Hwang; Kai-Wei Chang; Jianfeng Gao 001 (CVPR, 2022)

Unified Contrastive Learning in Image-Text-Label Space. - Jianwei Yang; Chunyuan Li; Pengchuan Zhang; Bin Xiao 004; Ce Liu 001; Lu Yuan; Jianfeng Gao 001 (CVPR, 2022)

RegionCLIP: Region-based Language-Image Pretraining. - Yiwu Zhong; Jianwei Yang; Pengchuan Zhang; Chunyuan Li; Noel Codella; Liunian Harold Li; Luowei Zhou; Xiyang Dai; Lu Yuan; Yin Li 003; Jianfeng Gao 001 (CVPR, 2022)

Knowledge-Rich Self-Supervision for Biomedical Entity Linking. - Sheng Zhang 012; Hao Cheng 002; Shikhar Vashishth; Cliff Wong; Jinfeng Xiao; Xiaodong Liu 003; Tristan Naumann; Jianfeng Gao 001; Hoifung Poon (EMNLP (Findings), 2022)

Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation. - Faeze Brahman; Baolin Peng; Michel Galley; Sudha Rao; Bill Dolan; Snigdha Chaturvedi; Jianfeng Gao 001 (EMNLP (Findings), 2022)

CodeExp: Explanatory Code Document Generation. - Haotian Cui; Chenglong Wang; Junjie Huang 008; Jeevana Priya Inala; Todd Mytkowicz; Bo Wang; Jianfeng Gao 001; Nan Duan (EMNLP (Findings), 2022)

Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge. - Kaixin Ma; Hao Cheng 002; Xiaodong Liu 003; Eric Nyberg; Jianfeng Gao 001 (EMNLP (Findings), 2022)

AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning. - Yaqing Wang 001; Sahaj Agarwal; Subhabrata Mukherjee; Xiaodong Liu 003; Jing Gao 004; Ahmed Hassan Awadallah; Jianfeng Gao 001 (EMNLP, 2022)

Efficient Self-supervised Vision Transformers for Representation Learning. - Chunyuan Li; Jianwei Yang; Pengchuan Zhang; Mei Gao; Bin Xiao 004; Xiyang Dai; Lu Yuan; Jianfeng Gao 001 (ICLR, 2022)

No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models. - Chen Liang 006; Haoming Jiang; Simiao Zuo; Pengcheng He; Xiaodong Liu 003; Jianfeng Gao 001; Weizhu Chen; Tuo Zhao (ICLR, 2022)

Taming Sparsely Activated Transformer with Stochastic Experts. - Simiao Zuo; Xiaodong Liu 003; Jian Jiao 007; Young Jin Kim 001; Hany Hassan; Ruofei Zhang; Jianfeng Gao 001; Tuo Zhao (ICLR, 2022)

Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. - Yichong Xu; Chenguang Zhu 001; Shuohang Wang; Siqi Sun; Hao Cheng 002; Xiaodong Liu 003; Jianfeng Gao 001; Pengcheng He; Michael Zeng 001; Xuedong Huang 001 (IJCAI, 2022)

KAT: A Knowledge Augmented Transformer for Vision-and-Language. - Liangke Gui; Borui Wang; Qiuyuan Huang; Alexander Hauptmann 001; Yonatan Bisk; Jianfeng Gao 001 (NAACL-HLT, 2022)

Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation. - Yu Li 013; Baolin Peng; Yelong Shen; Yi Mao; Lars Liden; Zhou Yu 005; Jianfeng Gao 001 (NAACL-HLT, 2022)

LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners. - Yaqing Wang 001; Subhabrata Mukherjee; Xiaodong Liu 003; Jing Gao 004; Ahmed Awadallah 001; Jianfeng Gao 001 (NAACL-HLT (Findings), 2022)

Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone. - Zi-Yi Dou; Aishwarya Kamath; Zhe Gan; Pengchuan Zhang; Jianfeng Wang; Linjie Li; Zicheng Liu 001; Ce Liu 001; Yann LeCun; Nanyun Peng 001; Jianfeng Gao 001; Lijuan Wang (NeurIPS, 2022)

Fault-Aware Neural Code Rankers. - Jeevana Priya Inala; Chenglong Wang; Mei Yang; Andrés Codas; Mark Encarnación; Shuvendu K. Lahiri; Madanlal Musuvathi; Jianfeng Gao 001 (NeurIPS, 2022)

ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models. - Chunyuan Li; Haotian Liu; Liunian Harold Li; Pengchuan Zhang; Jyoti Aneja; Jianwei Yang; Ping Jin; Houdong Hu; Zicheng Liu 001; Yong Jae Lee; Jianfeng Gao 001 (NeurIPS, 2022)

K-LITE: Learning Transferable Visual Models with External Knowledge. - Sheng Shen 001; Chunyuan Li; Xiaowei Hu 006; Yujia Xie; Jianwei Yang; Pengchuan Zhang; Zhe Gan; Lijuan Wang; Lu Yuan; Ce Liu 001; Kurt Keutzer; Trevor Darrell; et al. (NeurIPS, 2022)

Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. - Dongkuan Xu; Subhabrata Mukherjee; Xiaodong Liu 003; Debadeepta Dey; Wenhui Wang 003; Xiang Zhang 001; Ahmed Hassan Awadallah; Jianfeng Gao 001 (NeurIPS, 2022)

Focal Modulation Networks. - Jianwei Yang; Chunyuan Li; Xiyang Dai; Jianfeng Gao 001 (NeurIPS, 2022)

GLIPv2: Unifying Localization and Vision-Language Understanding. - Haotian Zhang 005; Pengchuan Zhang; Xiaowei Hu 006; Yen-Chun Chen 001; Liunian Harold Li; Xiyang Dai; Lijuan Wang; Lu Yuan; Jenq-Neng Hwang; Jianfeng Gao 001 (NeurIPS, 2022)

Toward Self-Learning End-to-End Task-oriented Dialog Systems. - Xiaoying Zhang; Baolin Peng; Jianfeng Gao 001; Helen Meng (SIGDIAL, 2022)

Neurocompositional Computing: From the Central Paradox of Cognition to a New Generation of AI Systems. - Paul Smolensky; Richard Thomas McCoy; Roland Fernandez; Matthew Goldrick 001; Jianfeng Gao 001 (AI Mag., 2022)

Neural Approaches to Conversational Information Retrieval. - Jianfeng Gao 001; Chenyan Xiong; Paul Bennett 001; Nick Craswell (CoRR, 2022)

Toward Self-Learning End-to-End Dialog Systems. - Xiaoying Zhang; Baolin Peng; Jianfeng Gao 001; Helen Meng (CoRR, 2022)

AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. - Dongkuan Xu; Subhabrata Mukherjee; Xiaodong Liu 003; Debadeepta Dey; Wenhui Wang 003; Xiang Zhang 001; Ahmed Hassan Awadallah; Jianfeng Gao 001 (CoRR, 2022)

A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models. - Da Yin; Li Dong 004; Hao Cheng 002; Xiaodong Liu 003; Kai-Wei Chang; Furu Wei; Jianfeng Gao 001 (CoRR, 2022)

Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer. - Greg Yang; Edward J. Hu; Igor Babuschkin; Szymon Sidor; Xiaodong Liu 003; David Farhi; Nick Ryder; Jakub Pachocki; Weizhu Chen; Jianfeng Gao 001 (CoRR, 2022)

Focal Modulation Networks. - Jianwei Yang; Chunyuan Li; Jianfeng Gao 001 (CoRR, 2022)

METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals. - Payal Bajaj; Chenyan Xiong; Guolin Ke; Xiaodong Liu 003; Di He 001; Saurabh Tiwary; Tie-Yan Liu; Paul Bennett 001; Xia Song; Jianfeng Gao 001 (CoRR, 2022)

Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners. - Shashank Gupta; Subhabrata Mukherjee; Krishan Subudhi; Eduardo Gonzalez; Damien Jose; Ahmed Hassan Awadallah; Jianfeng Gao 001 (CoRR, 2022)

Training Vision-Language Transformers from Captions Alone. - Liangke Gui; Qiuyuan Huang; Alex Hauptmann 001; Yonatan Bisk; Jianfeng Gao 001 (CoRR, 2022)

AdaMix: Mixture-of-Adapter for Parameter-efficient Tuning of Large Language Models. - Yaqing Wang 001; Subhabrata Mukherjee; Xiaodong Liu 003; Jing Gao 004; Ahmed Hassan Awadallah; Jianfeng Gao 001 (CoRR, 2022)

Learning from Self-Sampled Correct and Partially-Correct Programs. - Ansong Ni; Jeevana Priya Inala; Chenglong Wang; Oleksandr Polozov; Christopher Meek; Dragomir R. Radev; Jianfeng Gao 001 (CoRR, 2022)

GODEL: Large-Scale Pre-Training for Goal-Directed Dialog. - Baolin Peng; Michel Galley; Pengcheng He; Chris Brockett; Lars Liden; Elnaz Nouri; Zhou Yu 005; Bill Dolan; Jianfeng Gao 001 (CoRR, 2022)

Interactive Code Generation via Test-Driven User-Intent Formalization. - Shuvendu K. Lahiri; Aaditya Naik; Georgios Sakkas; Piali Choudhury; Curtis von Veh; Madanlal Musuvathi; Jeevana Priya Inala; Chenglong Wang; Jianfeng Gao 001 (CoRR, 2022)

Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages. - Paul Soulos; Sudha Rao; Caitlin Smith; Eric Rosen; Asli Celikyilmaz; R. Thomas McCoy; Yichen Jiang; Coleman Haley; Roland Fernandez; Hamid Palangi; Jianfeng Gao 001; Paul Smolensky (CoRR, 2022)

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. - Pengcheng He; Baolin Peng; Liyang Lu; Song Wang 012; Jie Mei; Yang Liu 124; Ruochen Xu; Hany Hassan Awadalla; Yu Shi 001; Chenguang Zhu 001; Wayne Xiong; Michael Zeng 001; et al. (CoRR, 2022)

Emb-GAM: an Interpretable and Efficient Predictor using Pre-trained Language Models. - Chandan Singh; Jianfeng Gao 001 (CoRR, 2022)

Explaining Patterns in Data with Language Models via Interpretable Autoprompting. - Chandan Singh; John X. Morris; Jyoti Aneja; Alexander M. Rush; Jianfeng Gao 001 (CoRR, 2022)

AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers. - Ganesh Jawahar; Subhabrata Mukherjee; Xiaodong Liu 003; Young Jin Kim 001; Muhammad Abdul-Mageed; Laks V. S. Lakshmanan; Ahmed Hassan Awadallah; Sébastien Bubeck; Jianfeng Gao 001 (CoRR, 2022)

Lafite2: Few-shot Text-to-Image Generation. - Yufan Zhou 001; Chunyuan Li; Changyou Chen; Jianfeng Gao 001; Jinhui Xu 001 (CoRR, 2022)

Execution-based Evaluation for Data Science Code Generation Models. - Junjie Huang 008; Chenglong Wang; Jipeng Zhang; Cong Yan; Haotian Cui; Jeevana Priya Inala; Colin B. Clement; Nan Duan; Jianfeng Gao 001 (CoRR, 2022)

ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format. - Qi Zhu 007; Christian Geishauser; Hsien-Chin Lin; Carel van Niekerk; Baolin Peng; Zheng Zhang 020; Michael Heck; Nurul Lubis; Dazhen Wan; Xiaochen Zhu; Jianfeng Gao 001; Milica Gasic; et al. (CoRR, 2022)

Efficient Long Sequence Modeling via State Space Augmented Transformer. - Simiao Zuo; Xiaodong Liu 003; Jian Jiao 007; Denis Charles; Eren Manavoglu; Tuo Zhao; Jianfeng Gao 001 (CoRR, 2022)

Deep Learning-based Text Classification: A Comprehensive Review. - Shervin Minaee; Nal Kalchbrenner; Erik Cambria; Narjes Nikzad; Meysam Chenaghlu; Jianfeng Gao 001 (ACM Comput. Surv., 2022)

Vision-Language Pre-Training: Basics, Recent Advances, and Future Trends. - Zhe Gan; Linjie Li; Chunyuan Li; Lijuan Wang; Zicheng Liu 001; Jianfeng Gao 001 (Found. Trends Comput. Graph. Vis., 2022)

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing. - Yu Gu 017; Robert Tinn; Hao Cheng 002; Michael Lucas; Naoto Usuyama; Xiaodong Liu 003; Tristan Naumann; Jianfeng Gao 001; Hoifung Poon (ACM Trans. Comput. Heal., 2022)

Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering. - Hao Cheng 002; Hao Fang 002; Xiaodong Liu 003; Jianfeng Gao 001 (ACL (2), 2023)

Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers. - Linyuan Gong; Chenyan Xiong; Xiaodong Liu 003; Payal Bajaj; Yiqing Xie; Alvin Cheung; Jianfeng Gao 001; Xia Song (ACL (1), 2023)

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. - Pengcheng He; Baolin Peng; Song Wang 012; Yang Liu 124; Ruochen Xu; Hany Hassan; Yu Shi 001; Chenguang Zhu 001; Wayne Xiong; Michael Zeng 001; Jianfeng Gao 001; Xuedong Huang 001 (ACL (1), 2023)

AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation. - Ganesh Jawahar; Subhabrata Mukherjee; Xiaodong Liu 003; Young Jin Kim 001; Muhammad Abdul-Mageed; Laks V. S. Lakshmanan; Ahmed Hassan Awadallah; Sébastien Bubeck; Jianfeng Gao 001 (ACL (Findings), 2023)

DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization. - Yu Li 013; Baolin Peng; Pengcheng He; Michel Galley; Zhou Yu 005; Jianfeng Gao 001 (ACL (1), 2023)

Chain-of-Skills: A Configurable Model for Open-Domain Question Answering. - Kaixin Ma; Hao Cheng 002; Yu Zhang 044; Xiaodong Liu 002; Eric Nyberg; Jianfeng Gao 001 (ACL (1), 2023)

Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models. - Borui Wang; Qiuyuan Huang; Budhaditya Deb; Aaron Halfaker; Liqun Shao; Daniel McDuff; Ahmed Hassan Awadallah; Dragomir Radev; Jianfeng Gao 001 (ACL (Findings), 2023)

Explaining Data Patterns in Natural Language with Language Models. - Chandan Singh; John X. Morris; Jyoti Aneja; Alexander M. Rush; Jianfeng Gao 001 (BlackboxNLP@EMNLP, 2023)

GLIGEN: Open-Set Grounded Text-to-Image Generation. - Yuheng Li; Haotian Liu; Qingyang Wu; Fangzhou Mu; Jianwei Yang; Jianfeng Gao 001; Chunyuan Li; Yong Jae Lee (CVPR, 2023)

Learning Customized Visual Models with Retrieval-Augmented Knowledge. - Haotian Liu; Kilho Son; Jianwei Yang; Ce Liu 001; Jianfeng Gao 001; Yong Jae Lee; Chunyuan Li (CVPR, 2023)

Generalized Decoding for Pixel, Image, and Language. - Xueyan Zou; Zi-Yi Dou; Jianwei Yang; Zhe Gan; Linjie Li; Chunyuan Li; Xiyang Dai; Harkirat Behl; Jianfeng Wang; Lu Yuan; Nanyun Peng 001; Lijuan Wang; et al. (CVPR, 2023)

ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format. - Qi Zhu 007; Christian Geishauser; Hsien-Chin Lin; Carel van Niekerk; Baolin Peng; Zheng Zhang 020; Shutong Feng; Michael Heck; Nurul Lubis; Dazhen Wan; Xiaochen Zhu; Jianfeng Gao 001; et al. (EMNLP (Demos), 2023)

Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding. - Yu Zhang 044; Hao Cheng 002; Zhihong Shen; Xiaodong Liu 003; Ye-Yi Wang; Jianfeng Gao 001 (EMNLP (Findings), 2023)

Interactive Text Generation. - Felix Faltings; Michel Galley; Kianté Brantley; Baolin Peng; Weixin Cai; Yizhe Zhang 002; Jianfeng Gao 001; Bill Dolan (EMNLP, 2023)

Tree Prompting: Efficient Task Adaptation without Fine-Tuning. - Chandan Singh; John X. Morris; Alexander M. Rush; Jianfeng Gao 001; Yuntian Deng (EMNLP, 2023)

Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning. - Sheng Zhang 012; Hao Cheng 002; Jianfeng Gao 001; Hoifung Poon (ICLR, 2023)

DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing. - Pengcheng He; Jianfeng Gao 001; Weizhu Chen (ICLR, 2023)

Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions. - Ansong Ni; Jeevana Priya Inala; Chenglong Wang; Alex Polozov; Christopher Meek; Dragomir Radev; Jianfeng Gao 001 (ICLR, 2023)

Visually-Augmented Language Modeling. - Weizhi Wang; Li Dong 004; Hao Cheng 002; Haoyu Song 002; Xiaodong Liu 003; Xifeng Yan; Jianfeng Gao 001; Furu Wei (ICLR, 2023)

Understand and Modularize Generator Optimization in ELECTRA-style Pretraining. - Chengyu Dong; Liyuan Liu; Hao Cheng 002; Jingbo Shang; Jianfeng Gao 001; Xiaodong Liu 003 (ICML, 2023)

Differentiable Tree Operations Promote Compositional Generalization. - Paul Soulos; Edward J. Hu; Kate McCurdy; Yunmo Chen; Roland Fernandez; Paul Smolensky; Jianfeng Gao 001 (ICML, 2023)

Guiding Large Language Models via Directional Stimulus Prompting. - Zekun Li 008; Baolin Peng; Pengcheng He; Michel Galley; Jianfeng Gao 001; Xifeng Yan (NeurIPS, 2023)

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day. - Chunyuan Li; Cliff Wong; Sheng Zhang 012; Naoto Usuyama; Haotian Liu; Jianwei Yang; Tristan Naumann; Hoifung Poon; Jianfeng Gao 001 (NeurIPS, 2023)

Bridging Discrete and Backpropagation: Straight-Through and Beyond. - Liyuan Liu; Chengyu Dong; Xiaodong Liu 003; Bin Yu 001; Jianfeng Gao 001 (NeurIPS, 2023)

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models. - Pan Lu; Baolin Peng; Hao Cheng 002; Michel Galley; Kai-Wei Chang; Ying Nian Wu; Song-Chun Zhu; Jianfeng Gao 001 (NeurIPS, 2023)

Localized Symbolic Knowledge Distillation for Visual Commonsense Models. - Jae Sung Park; Jack Hessel; Khyathi Raghavi Chandu; Paul Pu Liang; Ximing Lu; Peter West; Youngjae Yu; Qiuyuan Huang; Jianfeng Gao 001; Ali Farhadi; Yejin Choi 001 (NeurIPS, 2023)

Augmenting Language Models with Long-Term Memory. - Weizhi Wang; Li Dong 004; Hao Cheng 002; Xiaodong Liu 003; Xifeng Yan; Jianfeng Gao 001; Furu Wei (NeurIPS, 2023)

Segment Everything Everywhere All at Once. - Xueyan Zou; Jianwei Yang; Hao Zhang 097; Feng Li 040; Linjie Li; Jianfeng Wang; Lijuan Wang; Jianfeng Gao 001; Yong Jae Lee (NeurIPS, 2023)

Enhancing Task Bot Engagement with Synthesized Open-Domain Dialog. - Miaoran Li; Baolin Peng; Michel Galley; Jianfeng Gao 001; Zhu (Drew) Zhang (SIGDIAL, 2023)

Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback. - Baolin Peng; Michel Galley; Pengcheng He; Hao Cheng 002; Yujia Xie; Yu Hu; Qiuyuan Huang; Lars Liden; Zhou Yu 005; Weizhu Chen; Jianfeng Gao 001 (CoRR, 2023)

A Simple Framework for Open-Vocabulary Segmentation and Detection. - Hao Zhang 097; Feng Li 040; Xueyan Zou; Shilong Liu; Chunyuan Li; Jianfeng Gao 001; Jianwei Yang; Lei Zhang 001 (CoRR, 2023)

Pre-training Transformers for Knowledge Graph Completion. - Sanxing Chen; Hao Cheng 002; Xiaodong Liu 003; Jian Jiao 007; Yangfeng Ji; Jianfeng Gao 001 (CoRR, 2023)

Instruction Tuning with GPT-4. - Baolin Peng; Chunyuan Li; Pengcheng He; Michel Galley; Jianfeng Gao 001 (CoRR, 2023)

Segment Everything Everywhere All at Once. - Xueyan Zou; Jianwei Yang; Hao Zhang 097; Feng Li 040; Linjie Li; Jianfeng Gao 001; Yong Jae Lee (CoRR, 2023)

ArK: Augmented Reality with Knowledge Interactive Emergent Ability. - Qiuyuan Huang; Jae Sung Park; Abhinav Gupta 002; Paul N. Bennett; Ran Gong; Subhojit Som; Baolin Peng; Owais Khan Mohammed; Chris Pal; Yejin Choi 001; Jianfeng Gao 001 (CoRR, 2023)

Chain-of-Skills: A Configurable Model for Open-domain Question Answering. - Kaixin Ma; Hao Cheng 002; Yu Zhang 044; Xiaodong Liu 003; Eric Nyberg; Jianfeng Gao 001 (CoRR, 2023)

Explaining black box text modules in natural language with language models. - Chandan Singh; Aliyah R. Hsu; Richard J. Antonello; Shailee Jain; Alexander G. Huth; Bin Yu 001; Jianfeng Gao 001 (CoRR, 2023)

Self-Verification Improves Few-Shot Clinical Information Extraction. - Zelalem Gero; Chandan Singh; Hao Cheng 002; Tristan Naumann; Michel Galley; Jianfeng Gao 001; Hoifung Poon (CoRR, 2023)

Demystifying GPT Self-Repair for Code Generation. - Theo X. Olausson; Jeevana Priya Inala; Chenglong Wang; Jianfeng Gao 001; Armando Solar-Lezama (CoRR, 2023)

Semantic-SAM: Segment and Recognize Anything at Any Granularity. - Feng Li 040; Hao Zhang 097; Peize Sun; Xueyan Zou; Shilong Liu; Jianwei Yang; Chunyuan Li; Lei Zhang 001; Jianfeng Gao 001 (CoRR, 2023)

An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models. - Yadong Lu; Chunyuan Li; Haotian Liu; Jianwei Yang; Jianfeng Gao 001; Yelong Shen (CoRR, 2023)

MindAgent: Emergent Gaming Interaction. - Ran Gong; Qiuyuan Huang; Xiaojian Ma 001; Hoi Vo; Zane Durante; Yusuke Noda; Zilong Zheng; Song-Chun Zhu; Demetri Terzopoulos; Li Fei-Fei 001; Jianfeng Gao 001 (CoRR, 2023)

Sparse Backpropagation for MoE Training. - Liyuan Liu; Jianfeng Gao 001; Weizhu Chen (CoRR, 2023)

MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models. - Pan Lu; Hritik Bansal; Tony Xia; Jiacheng Liu 010; Chunyuan Li; Hannaneh Hajishirzi; Hao Cheng 002; Kai-Wei Chang; Michel Galley; Jianfeng Gao 001 (CoRR, 2023)

BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys. - Yu Gu 017; Jianwei Yang; Naoto Usuyama; Chunyuan Li; Sheng Zhang 012; Matthew P. Lungren; Jianfeng Gao 001; Hoifung Poon (CoRR, 2023)

Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V. - Jianwei Yang; Hao Zhang 097; Feng Li 040; Xueyan Zou; Chunyuan Li; Jianfeng Gao 001 (CoRR, 2023)

Automatic Hallucination Assessment for Aligned Large Language Models via Transferable Adversarial Attacks. - Xiaodong Yu 003; Hao Cheng 002; Xiaodong Liu 003; Dan Roth 001; Jianfeng Gao 001 (CoRR, 2023)

LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing. - Wei-Ge Chen; Irina Spiridonova; Jianwei Yang; Jianfeng Gao 001; Chunyuan Li (CoRR, 2023)

GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation. - An Yan 003; Zhengyuan Yang; Wanrong Zhu; Kevin Lin; Linjie Li; Jianfeng Wang; Jianwei Yang; Yiwu Zhong; Julian J. McAuley; Jianfeng Gao 001; Zicheng Liu 001; Lijuan Wang (CoRR, 2023)

LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models. - Hao Zhang 097; Hongyang Li 003; Feng Li 040; Tianhe Ren; Xueyan Zou; Shilong Liu; Shijia Huang; Jianfeng Gao 001; Lei Zhang 001; Chunyuan Li; Jianwei Yang (CoRR, 2023)

How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVEN. - R. Thomas McCoy; Paul Smolensky; Tal Linzen; Jianfeng Gao 001; Asli Celikyilmaz (Trans. Assoc. Comput. Linguistics, 2023)

Training Vision-Language Transformers from Captions. - Liangke Gui; Yingshan Chang; Qiuyuan Huang; Subhojit Som; Alexander G. Hauptmann; Jianfeng Gao 001; Yonatan Bisk (Trans. Mach. Learn. Res., 2023)

Neural Approaches to Conversational Information Retrieval - Jianfeng Gao 001; Chenyan Xiong; Paul Bennett 001; Nick Craswell (Springer, 2023)

Fine-tuning large neural language models for biomedical natural language processing. - Robert Tinn; Hao Cheng 002; Yu Gu 017; Naoto Usuyama; Xiaodong Liu 003; Tristan Naumann; Jianfeng Gao 001; Hoifung Poon (Patterns, 2023)

Visual in-Context Prompting. - Feng Li 040; Qing Jiang; Hao Zhang 097; Tianhe Ren; Shilong Liu; Xueyan Zou; Huaizhe Xu; Hongyang Li 003; Jianwei Yang; Chunyuan Li; Lei Zhang 001; Jianfeng Gao 001 (CVPR, 2024)

Language Models as Inductive Reasoners. - Zonglin Yang 001; Li Dong 004; Xinya Du; Hao Cheng 002; Erik Cambria; Xiaodong Liu 003; Jianfeng Gao 001; Furu Wei (EACL (1), 2024)

Pix2Gif: Motion-Guided Diffusion for GIF Generation. - Hitesh Kandala; Jianfeng Gao 001; Jianwei Yang (ECCV (85), 2024)

Segment and Recognize Anything at Any Granularity. - Feng Li 040; Hao Zhang 097; Peize Sun; Xueyan Zou; Shilong Liu; Chunyuan Li; Jianwei Yang; Lei Zhang 001; Jianfeng Gao 001 (ECCV (48), 2024)

LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents. - Shilong Liu; Hao Cheng 002; Haotian Liu; Hao Zhang 097; Feng Li 040; Tianhe Ren; Xueyan Zou; Jianwei Yang; Hang Su 006; Jun Zhu 001; Lei Zhang 001; Jianfeng Gao 001; et al. (ECCV (47), 2024)

LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models. - Hao Zhang 097; Hongyang Li 003; Feng Li 040; Tianhe Ren; Xueyan Zou; Shilong Liu; Shijia Huang; Jianfeng Gao 001; Leizhang; Chunyuan Li; Jainwei Yang (ECCV (43), 2024)

Toward Compositional Behavior in Neural Models: A Survey of Current Views. - Kate McCurdy; Paul Soulos; Paul Smolensky; Roland Fernandez; Jianfeng Gao 001 (EMNLP, 2024)

Fast-ELECTRA for Efficient Pre-training. - Chengyu Dong; Liyuan Liu; Hao Cheng 002; Jingbo Shang; Jianfeng Gao 001; Xiaodong Liu 003 (ICLR, 2024)

Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs. - Suyu Ge; Yunan Zhang 001; Liyuan Liu; Minjia Zhang; Jiawei Han 001; Jianfeng Gao 001 (ICLR, 2024)

MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts. - Pan Lu; Hritik Bansal; Tony Xia; Jiacheng Liu 010; Chunyuan Li; Hannaneh Hajishirzi; Hao Cheng 002; Kai-Wei Chang; Michel Galley; Jianfeng Gao 001 (ICLR, 2024)

Is Self-Repair a Silver Bullet for Code Generation? - Theo X. Olausson; Jeevana Priya Inala; Chenglong Wang; Jianfeng Gao 001; Armando Solar-Lezama (ICLR, 2024)

Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs. - Qingru Zhang; Chandan Singh; Liyuan Liu; Xiaodong Liu 003; Bin Yu 001; Jianfeng Gao 001; Tuo Zhao (ICLR, 2024)

Position: TrustLLM: Trustworthiness in Large Language Models. - Yue Huang; Lichao Sun 001; Haoran Wang 005; Siyuan Wu 001; Qihui Zhang; Yuan Li; Chujie Gao; Yixin Huang; Wenhan Lyu; Yixuan Zhang; Xiner Li; Hanchi Sun; et al. (ICML, 2024)

Contextualized Data-Wrangling Code Generation in Computational Notebooks. - Junjie Huang 008; Daya Guo; Chenglong Wang; Jiazhen Gu; Shuai Lu; Jeevana Priya Inala; Cong Yan; Jianfeng Gao 001; Nan Duan; Michael R. Lyu (ASE, 2024)

MindAgent: Emergent Gaming Interaction. - Ran Gong; Qiuyuan Huang; Xiaojian Ma 001; Yusuke Noda; Zane Durante; Zilong Zheng; Demetri Terzopoulos; Li Fei-Fei 001; Jianfeng Gao 001; Hoi Vo (NAACL-HLT (Findings), 2024)

Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models. - Miaoran Li; Baolin Peng; Michel Galley; Jianfeng Gao 001; Zhu Zhang 001 (NAACL-HLT (Findings), 2024)

ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks. - Xiaodong Yu 003; Hao Cheng 002; Xiaodong Liu 003; Dan Roth 001; Jianfeng Gao 001 (NAACL-HLT (Findings), 2024)

Teaching Language Models to Self-Improve through Interactive Demonstrations. - Xiao Yu 011; Baolin Peng; Michel Galley; Jianfeng Gao 001; Zhou Yu 005 (NAACL-HLT, 2024)

Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions. - Vinamra Benara; Chandan Singh; John X. Morris; Richard J. Antonello; Ion Stoica; Alexander Huth; Jianfeng Gao 001 (NeurIPS, 2024)

DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs. - Lingchen Meng; Jianwei Yang; Rui Tian; Xiyang Dai; Zuxuan Wu; Jianfeng Gao 001; Yu-Gang Jiang 001 (NeurIPS, 2024)

Compositional Generalization Across Distributional Shifts with Sparse Tree Operations. - Paul Soulos; Henry Conklin; Mattia Opper; Paul Smolensky; Jianfeng Gao 001; Roland Fernandez (NeurIPS, 2024)

Agent AI: Surveying the Horizons of Multimodal Interaction. - Zane Durante; Qiuyuan Huang; Naoki Wake; Ran Gong; Jae Sung Park; Bidipta Sarkar; Rohan Taori; Yusuke Noda; Demetri Terzopoulos; Yejin Choi 001; Katsushi Ikeuchi; Hoi Vo; et al. (CoRR, 2024)

TrustLLM: Trustworthiness in Large Language Models. - Lichao Sun 001; Yue Huang 001; Haoran Wang 005; Siyuan Wu 001; Qihui Zhang; Chujie Gao; Yixin Huang; Wenhan Lyu; Yixuan Zhang 001; Xiner Li; Zhengliang Liu; Yixin Liu 002; et al. (CoRR, 2024)

Rethinking Interpretability in the Era of Large Language Models. - Chandan Singh; Jeevana Priya Inala; Michel Galley; Rich Caruana; Jianfeng Gao 001 (CoRR, 2024)

An Interactive Agent Foundation Model. - Zane Durante; Bidipta Sarkar; Ran Gong; Rohan Taori; Yusuke Noda; Paul Tang; Ehsan Adeli 001; Shrinidhi Kowshika Lakshmikanth; Kevin A. Schulman; Arnold Milstein; Demetri Terzopoulos; Ade Famoti; et al. (CoRR, 2024)

Large Language Models: A Survey. - Shervin Minaee; Tomás Mikolov; Narjes Nikzad; Meysam Chenaghlu; Richard Socher; Xavier Amatriain; Jianfeng Gao 001 (CoRR, 2024)

The Essential Role of Causality in Foundation World Models for Embodied AI. - Tarun Gupta 002; Wenbo Gong 001; Chao Ma 019; Nick Pawlowski; Agrin Hilmkil; Meyer Scetbon; Ade Famoti; Ashley Juan Llorens; Jianfeng Gao 001; Stefan Bauer; Danica Kragic; Bernhard Schölkopf; et al. (CoRR, 2024)

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models. - Yixin Liu 002; Kai Zhang 039; Yuan Li 032; Zhiling Yan; Chujie Gao; Ruoxi Chen; Zhengqing Yuan; Yue Huang 001; Hanchi Sun; Jianfeng Gao 001; Lifang He 001; Lichao Sun 001 (CoRR, 2024)

Position Paper: Agent AI Towards a Holistic Intelligence. - Qiuyuan Huang; Naoki Wake; Bidipta Sarkar; Zane Durante; Ran Gong; Rohan Taori; Yusuke Noda; Demetri Terzopoulos; Noboru Kuno; Ade Famoti; Ashley J. Llorens; John Langford 001; et al. (CoRR, 2024)

Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries. - Zelalem Gero; Chandan Singh; Yiqing Xie; Sheng Zhang 012; Tristan Naumann; Jianfeng Gao 001; Hoifung Poon (CoRR, 2024)

Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging. - Juan Manuel Zambrano Chaves; Shih-Cheng Huang; Yanbo Xu; Hanwen Xu; Naoto Usuyama; Sheng Zhang 012; Fei Wang 060; Yujia Xie; Mahmoud Khademi; Ziyi Yang; Hany Hassan Awadalla; Julia Gong; et al. (CoRR, 2024)

List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs. - An Yan 003; Zhengyuan Yang; Junda Wu; Wanrong Zhu; Jianwei Yang; Linjie Li; Kevin Lin; Jianfeng Wang; Julian J. McAuley; Jianfeng Gao 001; Lijuan Wang (CoRR, 2024)

BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once. - Theodore Zhao; Yu Gu 017; Jianwei Yang; Naoto Usuyama; Ho Hin Lee; Tristan Naumann; Jianfeng Gao 001; Angela Crabtree; Jacob Abel; Christine Moung; Brian Piening; Carlo Bifulco; et al. (CoRR, 2024)

Crafting Interpretable Embeddings by Asking LLMs Questions. - Vinamra Benara; Chandan Singh; John X. Morris; Richard J. Antonello; Ion Stoica; Alexander G. Huth; Jianfeng Gao 001 (CoRR, 2024)

GUI-WORLD: A Dataset for GUI-oriented Multimodal LLM-based Agents. - Dongping Chen; Yue Huang 001; Siyuan Wu 001; Jingyu Tang; Liuyi Chen; Yilin Bai; Zhigang He; Chenlong Wang; Huichi Zhou; Yiqiang Li; Tianshuo Zhou; Yue Yu; et al. (CoRR, 2024)

UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models. - Siyuan Wu 001; Yue Huang 001; Chujie Gao; Dongping Chen; Qihui Zhang; Yao Wan 001; Tianyi Zhou 001; Xiangliang Zhang 001; Jianfeng Gao 001; Chaowei Xiao; Lichao Sun 001 (CoRR, 2024)

Data Formulator 2: Iteratively Creating Rich Visualizations with AI. - Chenglong Wang; Bongshin Lee; Steven Mark Drucker; Dan Marshall; Jianfeng Gao 001 (CoRR, 2024)

Model Tells Itself Where to Attend: Faithfulness Meets Automatic Attention Steering. - Qingru Zhang; Xiaodong Yu 003; Chandan Singh; Xiaodong Liu 003; Liyuan Liu; Jianfeng Gao 001; Tuo Zhao; Dan Roth 001; Hao Cheng 002 (CoRR, 2024)

GRIN: GRadient-INformed MoE. - Liyuan Liu; Young Jin Kim 001; Shuohang Wang; Chen Liang 006; Yelong Shen; Hao Cheng 002; Xiaodong Liu 003; Masahiro Tanaka; Xiaoxia Wu; Wenxiang Hu; Vishrav Chaudhary; Zeqi Lin; et al. (CoRR, 2024)

Data Analysis in the Era of Generative AI. - Jeevana Priya Inala; Chenglong Wang; Steven Mark Drucker; Gonzalo Ramos 001; Victor Dibia; Nathalie Riche; Dave Brown; Dan Marshall; Jianfeng Gao 001 (CoRR, 2024)

A generative framework to bridge data-driven models and scientific theories in language neuroscience. - Richard J. Antonello; Chandan Singh; Shailee Jain; Aliyah R. Hsu; Jianfeng Gao 001; Bin Yu 001; Alexander Huth (CoRR, 2024)

TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models. - Mu Cai; Reuben Tan; Jianrui Zhang; Bocheng Zou; Kai Zhang 039; Feng Yao; Fangrui Zhu; Jing Gu; Yiwu Zhong; Yuzhang Shang; Yao Dou; Jaden Park; et al. (CoRR, 2024)

Mechanisms of Symbol Processing for In-Context Learning in Transformer Networks. - Paul Smolensky; Roland Fernandez; Zhenghao Herbert Zhou; Mattia Opper; Jianfeng Gao 001 (CoRR, 2024)

Interpretable Language Modeling via Induction-head Ngram Models. - Eunji Kim 002; Sriya Mantena; Weiwei Yang; Chandan Singh; Sungroh Yoon; Jianfeng Gao 001 (CoRR, 2024)

StreamAdapter: Efficient Test Time Adaptation from Contextual Streams. - Dilxat Muhtar; Yelong Shen; Yaming Yang 001; Xiaodong Liu 003; Yadong Lu; Jianfeng Liu; Yuefeng Zhan; Hao Sun 015; Weiwei Deng; Feng Sun 008; Xueliang Zhang; Jianfeng Gao 001; et al. (CoRR, 2024)

OLA-VLM: Elevating Visual Perception in Multimodal LLMs with Auxiliary Embedding Distillation. - Jitesh Jain; Zhengyuan Yang; Humphrey Shi; Jianfeng Gao 001; Jianwei Yang (CoRR, 2024)

Multimodal Foundation Models: From Specialists to General-Purpose Assistants. - Chunyuan Li; Zhe Gan; Zhengyuan Yang; Jianwei Yang; Linjie Li; Lijuan Wang; Jianfeng Gao 001 (Found. Trends Comput. Graph. Vis., 2024)

Retrieve What You Need: A Mutual Learning Framework for Open-domain Question Answering. - Dingmin Wang; Qiuyuan Huang; Matthew Jackson; Jianfeng Gao 001 (Trans. Assoc. Comput. Linguistics, 2024)

Overview of the Ninth Dialog System Technology Challenge: DSTC9. - R. Chulaka Gunasekara; Seokhwan Kim; Luis Fernando D'Haro; Abhinav Rastogi; Yun-Nung Chen; Mihail Eric; Behnam Hedayatnia; Karthik Gopalakrishnan 001; Yang Liu 004; Chao-Wei Huang; Dilek Hakkani-Tür; Jinchao Li; et al. (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks. - Jiarui Xu; Yossi Gandelsman; Amir Bar; Jianwei Yang; Jianfeng Gao 001; Trevor Darrell; Xiaolong Wang 004 (Trans. Mach. Learn. Res., 2024)

Learning a Decision Tree Algorithm with Transformers. - Yufan Zhuang; Liyuan Liu; Chandan Singh; Jingbo Shang; Jianfeng Gao 001 (Trans. Mach. Learn. Res., 2024)

OPERA: Harmonizing Task-Oriented Dialogs and Information Seeking Experience. - Miaoran Li; Baolin Peng; Jianfeng Gao 001; Zhu Zhang 001 (ACM Trans. Web, 2024)

Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts. - Zeliang Zhang; Xiaodong Liu 003; Hao Cheng 002; Chenliang Xu; Jianfeng Gao 001 (ACL (Findings), 2025)

Data Formulator 2: Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way. - Chenglong Wang; Bongshin Lee; Steven Mark Drucker; Dan Marshall; Jianfeng Gao 001 (CHI, 2025)

Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning. - Yanda Chen; Chandan Singh; Xiaodong Liu 003; Simiao Zuo; Bin Yu 001; He He 001; Jianfeng Gao 001 (COLING, 2025)

Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion. - Jiuhai Chen; Jianwei Yang; Haiping Wu; Dianqi Li; Jianfeng Gao 001; Tianyi Zhou 001; Bin Xiao 004 (CVPR, 2025)

An Interactive Agent Foundation Model. - Zane Durante; Ran Gong; Bidipta Sarkar; Naoki Wake; Rohan Taori; Paul Tang; Shrinidhi Kowshika Lakshmikanth; Kevin A. Schulman; Arnold Milstein; Hoi Vo; Ehsan Adeli 001; Demetri Terzopoulos; et al. (CVPR Workshops, 2025)

Magma: A Foundation Model for Multimodal AI Agents. - Jianwei Yang; Reuben Tan; Qianhui Wu; Ruijie Zheng; Baolin Peng; Yongyuan Liang; Yu Gu 017; Mu Cai; Seonghyeon Ye; Joel Jang; Yuquan Deng; Jianfeng Gao 001 (CVPR, 2025)

ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning. - Xiao Yu 011; Baolin Peng; Vineeth Vajipey; Hao Cheng 002; Michel Galley; Jianfeng Gao 001; Zhou Yu 005 (ICLR, 2025)

Matryoshka Multimodal Models. - Mu Cai; Jianwei Yang; Jianfeng Gao 001; Yong Jae Lee (ICLR, 2025)

Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass. - Tong Chen; Hao Fang 002; Patrick Xia 002; Xiaodong Liu 003; Benjamin Van Durme; Luke Zettlemoyer; Jianfeng Gao 001; Hao Cheng 002 (ICLR, 2025)

GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding. - Dongping Chen; Yue Huang 001; Siyuan Wu 001; Jingyu Tang; Huichi Zhou; Qihui Zhang; Zhigang He; Yilin Bai; Chujie Gao; Liuyi Chen; Yiqiang Li; Chenlong Wang; et al. (ICLR, 2025)

DataGen: Unified Synthetic Dataset Generation via Large Language Models. - Yue Huang 001; Siyuan Wu 001; Chujie Gao; Dongping Chen; Qihui Zhang; Yao Wan 001; Tianyi Zhou 001; Chaowei Xiao; Jianfeng Gao 001; Lichao Sun 001; Xiangliang Zhang 001 (ICLR, 2025)

SCBench: A KV Cache-Centric Analysis of Long-Context Methods. - Yucheng Li; Huiqiang Jiang; Qianhui Wu; Xufang Luo; Surin Ahn; Chengruidong Zhang; Amir H. Abdi; Dongsheng Li 002; Jianfeng Gao 001; Yuqing Yang 001; Lili Qiu (ICLR, 2025)

SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents. - Zhuoshi Pan; Qianhui Wu; Huiqiang Jiang; Xufang Luo; Hao Cheng 002; Dongsheng Li 002; Yuqing Yang 001; Chin-Yew Lin; H. Vicky Zhao; Lili Qiu; Jianfeng Gao 001 (ICLR, 2025)

Latent Action Pretraining from Videos. - Seonghyeon Ye; Joel Jang; Byeongguk Jeon; Se June Joo; Jianwei Yang; Baolin Peng; Ajay Mandlekar; Reuben Tan; Yu-Wei Chao; Bill Yuchen Lin; Lars Liden; Kimin Lee; et al. (ICLR, 2025)

TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies. - Ruijie Zheng; Yongyuan Liang; Shuaiyi Huang; Jianfeng Gao 001; Hal Daumé III; Andrey Kolobov; Furong Huang; Jianwei Yang (ICLR, 2025)

Vector-ICL: In-context Learning with Continuous Vector Representations. - Yufan Zhuang; Chandan Singh; Liyuan Liu; Jingbo Shang; Jianfeng Gao 001 (ICLR, 2025)

Iterative Self-Tuning LLMs for Enhanced Jailbreaking Capabilities. - Chung-En Sun; Xiaodong Liu 003; Weiwei Yang; Tsui-Wei Weng; Hao Cheng 002; Aidan San; Michel Galley; Jianfeng Gao 001 (NAACL (Long Papers), 2025)

TRA: Better Length Generalisation with Threshold Relative Attention. - Mattia Opper; Roland Fernandez; Paul Smolensky; Jianfeng Gao 001 (Trans. Mach. Learn. Res., 2025)

CollabLLM: From Passive Responders to Active Collaborators. - Shirley Wu; Michel Galley; Baolin Peng; Hao Cheng 002; Gavin Li; Yao Dou; Weixin Cai; James Zou 001; Jure Leskovec; Jianfeng Gao 001 (CoRR, 2025)

On Memory Construction and Retrieval for Personalized Conversational Agents. - Zhuoshi Pan; Qianhui Wu; Huiqiang Jiang; Xufang Luo; Hao Cheng 002; Dongsheng Li 002; Yuqing Yang 001; Chin-Yew Lin; H. Vicky Zhao; Lili Qiu; Jianfeng Gao 001 (CoRR, 2025)

Simplifying DINO via Coding Rate Regularization. - Ziyang Wu; Jingyuan Zhang; Druv Pai; Xudong Wang; Chandan Singh; Jianwei Yang; Jianfeng Gao 001; Yi Ma 001 (CoRR, 2025)

Magma: A Foundation Model for Multimodal AI Agents. - Jianwei Yang; Reuben Tan; Qianhui Wu; Ruijie Zheng; Baolin Peng; Yongyuan Liang; Yu Gu 017; Mu Cai; Seonghyeon Ye; Joel Jang; Yuquan Deng; Lars Liden; et al. (CoRR, 2025)

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. - Yue Huang 001; Chujie Gao; Siyuan Wu 001; Haoran Wang 005; Xiangqi Wang; Yujun Zhou 010; Yanbo Wang 005; Jiayi Ye; Jiawen Shi; Qihui Zhang; Yuan Li 032; Han Bao 003; et al. (CoRR, 2025)

A Survey on Post-training of Large Language Models. - Guiyao Tie; Zeli Zhao; Dingjie Song; Fuyang Wei; Rong Zhou; Yurou Dai; Wen Yin; Zhejian Yang; Jiangyue Yan; Yao Su 003; Zhenhan Dai; Yifeng Xie; et al. (CoRR, 2025)

Towards Understanding Graphical Perception in Large Multimodal Models. - Kai Zhang 033; Jianwei Yang; Jeevana Priya Inala; Chandan Singh; Jianfeng Gao 001; Yu Su 001; Chenglong Wang (CoRR, 2025)

MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention. - Yucheng Li; Huiqiang Jiang; Chengruidong Zhang; Qianhui Wu; Xufang Luo; Surin Ahn; Amir H. Abdi; Dongsheng Li 002; Jianfeng Gao 001; Yuqing Yang 001; Lili Qiu (CoRR, 2025)

Reinforcement Learning for Reasoning in Large Language Models with One Training Example. - Yiping Wang; Qing Yang; Zhiyuan Zeng; Liliang Ren; Lucas Liu; Baolin Peng; Hao Cheng 002; Xuehai He; Kuan Wang; Jianfeng Gao 001; Weizhu Chen; Shuohang Wang; et al. (CoRR, 2025)

Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math. - Haoran Xu; Baolin Peng; Hany Awadalla; Dongdong Chen 001; Yen-Chun Chen 001; Mei Gao; Young Jin Kim 001; Yunsheng Li; Liliang Ren; Yelong Shen; Shuohang Wang; Weijian Xu; et al. (CoRR, 2025)

SITE: towards Spatial Intelligence Thorough Evaluation. - Wenqi Wang 003; Reuben Tan; Pengyue Zhu; Jianwei Yang; Zhengyuan Yang; Lijuan Wang; Andrey Kolobov; Jianfeng Gao 001; Boqing Gong (CoRR, 2025)

EfficientLLM: Efficiency in Large Language Models. - Zhengqing Yuan; Weixiang Sun; Yixin Liu 002; Huichi Zhou; Rong Zhou; Yiyang Li; Zheyuan Zhang; Wei Song; Yue Huang; Haolong Jia; Keerthiram Murugesan; Yu Wang; et al. (CoRR, 2025)

Text Generation Beyond Discrete Token Sampling. - Yufan Zhuang; Liyuan Liu; Chandan Singh; Jingbo Shang; Jianfeng Gao 001 (CoRR, 2025)

Training Language Models to Generate Quality Code with Program Analysis Feedback. - Feng Yao; Zilong Wang 002; Liyuan Liu; Junxia Cui; Li Zhong; Xiaohan Fu; Haohui Mai; Vish Krishnan; Jianfeng Gao 001; Jingbo Shang (CoRR, 2025)

Dyna-Think: Synergizing Reasoning, Acting, and World Model Simulation in AI Agents. - Xiao Yu 011; Baolin Peng; Ruize Xu; Michel Galley; Hao Cheng 002; Suman Nath; Jianfeng Gao 001; Zhou Yu 005 (CoRR, 2025)

GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents. - Qianhui Wu; Kanzhi Cheng; Rui Yang 010; Chaoyun Zhang; Jianwei Yang; Huiqiang Jiang; Jian Mu; Baolin Peng; Bo Qiao 001; Reuben Tan; Si Qin; Lars Liden; et al. (CoRR, 2025)

Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation. - Liliang Ren; Congcong Chen; Haoran Xu; Young Jin Kim 001; Adam Atkinson; Zheng Zhan 004; Jiankai Sun; Baolin Peng; Liyuan Liu; Shuohang Wang; Hao Cheng 002; Jianfeng Gao 001; et al. (CoRR, 2025)

SAS: Simulated Attention Score. - Chuanyang Zheng; Jiankai Sun; Yihang Gao; Yuehao Wang; Peihao Wang; Jing Xiong; Liliang Ren; Hao Cheng 002; Janardhan Kulkarni; Yelong Shen; Atlas Wang; Mac Schwager; et al. (CoRR, 2025)