Repairing Sparse Low-Rank Texture. - Xiao Liang 002; Xiang Ren 001; Zhengdong Zhang 001; Yi Ma 001 (ECCV (5), 2012)

Semantic Frame-Based Document Representation for Comparable Corpora. - Hyungsul Kim; Xiang Ren 001; Yizhou Sun; Chi Wang 001; Jiawei Han 001 (ICDM, 2013)

Recommendation in heterogeneous information networks with implicit user feedback. - Xiao Yu 007; Xiang Ren 001; Yizhou Sun; Bradley Sturt; Urvashi Khandelwal; Quanquan Gu; Brandon Norick; Jiawei Han 001 (RecSys, 2013)

Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures. - Xiang Ren 001; Zhouchen Lin (Int. J. Comput. Vis., 2013)

ClusCite: effective citation recommendation by information network-based clustering. - Xiang Ren 001; Jialu Liu; Xiao Yu 007; Urvashi Khandelwal; Quanquan Gu; Lidan Wang; Jiawei Han 001 (KDD, 2014)

Automatic Construction and Ranking of Topical Keyphrases on Collections of Short Documents. - Marina Danilevsky; Chi Wang 001; Nihit Desai; Xiang Ren 001; Jingyi Guo; Jiawei Han 001 (SDM, 2014)

NewsNetExplorer: automatic construction and exploration of news information networks. - Fangbo Tao; George Brova; Jiawei Han 001; Heng Ji 001; Chi Wang 001; Brandon Norick; Ahmed El-Kishky; Jialu Liu; Xiang Ren 001; Yizhou Sun (SIGMOD Conference, 2014)

Heterogeneous graph-based intent learning with queries, web pages and Wikipedia concepts. - Xiang Ren 001; Yujing Wang; Xiao Yu 007; Jun Yan 001; Zheng Chen 001; Jiawei Han 001 (WSDM, 2014)

Personalized entity recommendation: a heterogeneous information network approach. - Xiao Yu 007; Xiang Ren 001; Yizhou Sun; Quanquan Gu; Bradley Sturt; Urvashi Khandelwal; Brandon Norick; Jiawei Han 001 (WSDM, 2014)

Automatic Entity Recognition and Typing from Massive Text Corpora: A Phrase and Network Mining Approach. - Xiang Ren 001; Ahmed El-Kishky; Chi Wang 001; Jiawei Han 001 (KDD, 2015)

ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering. - Xiang Ren 001; Ahmed El-Kishky; Chi Wang 001; Fangbo Tao; Clare R. Voss; Jiawei Han 001 (KDD, 2015)

Mining Quality Phrases from Massive Text Corpora. - Jialu Liu; Jingbo Shang; Chi Wang 001; Xiang Ren 001; Jiawei Han 001 (SIGMOD Conference, 2015)

Synonym Discovery for Structured Entities on Heterogeneous Graphs. - Xiang Ren 001; Tao Cheng (WWW (Companion Volume), 2015)

Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates. - Lingxiao Wang 001; Xiang Ren 001; Quanquan Gu (AISTATS, 2016)

FacetGist: Collective Extraction of Document Facets in Large Technical Corpora. - Tarique Siddiqui; Xiang Ren 001; Aditya G. Parameswaran; Jiawei Han 001 (CIKM, 2016)

AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding. - Xiang Ren 001; Wenqi He; Meng Qu; Lifu Huang; Heng Ji 001; Jiawei Han 001 (EMNLP, 2016)

Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding. - Xiang Ren 001; Wenqi He; Meng Qu; Clare R. Voss; Heng Ji 001; Jiawei Han 001 (KDD, 2016)

Cross-media Event Extraction and Recommendation. - Di Lu 003; Clare R. Voss; Fangbo Tao; Xiang Ren 001; Rachel Guan; Rostyslav Korolov; Tongtao Zhang; Dongang Wang; Hongzhi Li 001; Taylor Cassidy; Heng Ji 001; Shih-Fu Chang; et al. (HLT-NAACL Demos, 2016)

Automatic Entity Recognition and Typing in Massive Text Data. - Xiang Ren 001; Ahmed El-Kishky; Heng Ji 001; Jiawei Han 001 (SIGMOD Conference, 2016)

Representing Documents via Latent Keyphrase Inference. - Jialu Liu; Xiang Ren 001; Jingbo Shang; Taylor Cassidy; Clare R. Voss; Jiawei Han 001 (WWW, 2016)

Automatic Entity Recognition and Typing in Massive Text Corpora. - Xiang Ren 001; Ahmed El-Kishky; Chi Wang 001; Jiawei Han 001 (WWW (Companion Volume), 2016)

Texture Repairing by Unified Low Rank Optimization. - Xiao Liang 002; Xiang Ren 001; Zhengdong Zhang 001; Yi Ma 001 (J. Comput. Sci. Technol., 2016)

Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. - Xiang Ren 001; Jiaming Shen; Meng Qu; Xuan Wang 008; Zeqiu Wu; Qi Zhu 008; Meng Jiang 001; Fangbo Tao; Saurabh Sinha; David Liem; Peipei Ping; Richard M. Weinshilboum; et al. (ACL (System Demonstrations), 2017)

An Attention-based Collaboration Framework for Multi-View Network Representation Learning. - Meng Qu; Jian Tang 005; Jingbo Shang; Xiang Ren 001; Ming Zhang 004; Jiawei Han 001 (CIKM, 2017)

Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach. - Liyuan Liu; Xiang Ren 001; Qi Zhu 008; Shi Zhi; Huan Gui; Heng Ji 001; Jiawei Han 001 (EMNLP, 2017)

MetaPAD: Meta Pattern Discovery from Massive Text Corpora. - Meng Jiang 001; Jingbo Shang; Taylor Cassidy; Xiang Ren 001; Lance M. Kaplan; Timothy P. Hanratty; Jiawei Han 001 (KDD, 2017)

Automatic Synonym Discovery with Knowledge Bases. - Meng Qu; Xiang Ren 001; Jiawei Han 001 (KDD, 2017)

SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble. - Jiaming Shen; Zeqiu Wu; Dongming Lei; Jingbo Shang; Xiang Ren 001; Jiawei Han 001 (ECML/PKDD (1), 2017)

Building Structured Databases of Factual Knowledge from Massive Text Corpora. - Xiang Ren 001; Meng Jiang 001; Jingbo Shang; Jiawei Han 001 (SIGMOD Conference, 2017)

Comparative Document Analysis for Large Text Corpora. - Xiang Ren 001; Yuanhua Lv; Kuansan Wang; Jiawei Han 001 (WSDM, 2017)

Constructing Structured Information Networks from Massive Text Corpora. - Xiang Ren 001; Meng Jiang 001; Jingbo Shang; Jiawei Han 001 (WWW (Companion Volume), 2017)

CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases. - Xiang Ren 001; Zeqiu Wu; Wenqi He; Meng Qu; Clare R. Voss; Heng Ji 001; Tarek F. Abdelzaher; Jiawei Han 001 (WWW, 2017)

Recommendation in Context-Rich Environment: An Information Network Analysis Approach. - Yizhou Sun; Hongzhi Yin; Xiang Ren 001 (WWW (Companion Volume), 2017)

Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems. - Lifu Huang; Jonathan May; Xiaoman Pan; Heng Ji 001; Xiang Ren 001; Jiawei Han 001; Lin Zhao; James A. Hendler (Big Data, 2017)

Overcoming Limited Supervision in Relation Extraction: A Pattern-enhanced Distributional Representation Approach. - Meng Qu; Xiang Ren 001; Yu Zhang 044; Jiawei Han 001 (CoRR, 2017)

Empower Sequence Labeling with Task-Aware Neural Language Model. - Liyuan Liu; Jingbo Shang; Xiang Ren 001; Frank Fangzheng Xu; Huan Gui; Jian Peng 001; Jiawei Han 001 (AAAI, 2018)

Dynamic Network Embedding by Modeling Triadic Closure Process. - Le-kui Zhou; Yang Yang 009; Xiang Ren 001; Fei Wu 001; Yueting Zhuang (AAAI, 2018)

End-to-End Reinforcement Learning for Automatic Taxonomy Induction. - Yuning Mao; Xiang Ren 001; Jiaming Shen; Xiaotao Gu; Jiawei Han 001 (ACL (1), 2018)

Open-Schema Event Profiling for Massive News Corpora. - Quan Yuan 001; Xiang Ren 001; Wenqi He; Chao Zhang 014; Xinhe Geng; Lifu Huang; Heng Ji 001; Chin-Yew Lin; Jiawei Han 001 (CIKM, 2018)

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. - Liyuan Liu; Xiang Ren 001; Jingbo Shang; Xiaotao Gu; Jian Peng 001; Jiawei Han 001 (EMNLP, 2018)

Learning Named Entity Tagger using Domain-Specific Dictionary. - Jingbo Shang; Liyuan Liu; Xiaotao Gu; Xiang Ren 001; Teng Ren; Jiawei Han 001 (EMNLP, 2018)

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models. - Jiaxuan You; Rex Ying; Xiang Ren 001; William L. Hamilton; Jure Leskovec (ICML, 2018)

HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion. - Jiaming Shen; Zeqiu Wu; Dongming Lei; Chao Zhang 014; Xiang Ren 001; Michelle T. Vanni; Brian M. Sadler; Jiawei Han 001 (KDD, 2018)

Scalable Construction and Reasoning of Massive Knowledge Bases. - Xiang Ren 001; Nanyun Peng 001; William Yang Wang (NAACL-HLT (Tutorial Abstracts), 2018)

Hierarchical Graph Representation Learning with Differentiable Pooling. - Zhitao Ying; Jiaxuan You; Christopher Morris 001; Xiang Ren 001; William L. Hamilton; Jure Leskovec (NeurIPS, 2018)

Two Step Joint Model for Drug Drug Interaction Extraction. - Siliang Tang; Qi Zhang 001; Tianpeng Zheng; Mengdi Zhou; Zhan Chen; Lixing Shen; Xiang Ren 001; Yueting Zhuang; Shiliang Pu; Fei Wu 001 (TAC, 2018)

First Workshop on Knowledge Base Construction, Mining and Reasoning. - Xiang Ren 001; Craig A. Knoblock; William Yang Wang; Yu Su 001 (WSDM, 2018)

Indirect Supervision for Relation Extraction using Question-Answer Pairs. - Zeqiu Wu; Xiang Ren 001; Frank F. Xu; Ji Li; Jiawei Han 001 (WSDM, 2018)

Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning. - Meng Qu; Xiang Ren 001; Yu Zhang 044; Jiawei Han 001 (WWW, 2018)

Open Information Extraction with Global Structure Constraints. - Qi Zhu 008; Xiang Ren 001; Jingbo Shang; Yu Zhang 044; Frank F. Xu; Jiawei Han 001 (WWW (Companion Volume), 2018)

GraphRNN: A Deep Generative Model for Graphs. - Jiaxuan You; Rex Ying; Xiang Ren 001; William L. Hamilton; Jure Leskovec (CoRR, 2018)

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. - Liyuan Liu; Xiang Ren 001; Jingbo Shang; Jian Peng 001; Jiawei Han 001 (CoRR, 2018)

Integrating Local Context and Global Cohesiveness for Open Information Extraction. - Qi Zhu 008; Xiang Ren 001; Jingbo Shang; Yu Zhang 044; Frank F. Xu; Jiawei Han 001 (CoRR, 2018)

Automated Phrase Mining from Massive Text Corpora. - Jingbo Shang; Jialu Liu; Meng Jiang 001; Xiang Ren 001; Clare R. Voss; Jiawei Han 001 (IEEE Trans. Knowl. Data Eng., 2018)

Mining Structures of Factual Knowledge from Text: An Effort-Light Approach - Xiang Ren 001; Jiawei Han 001 (Mining Structures of Factual Knowledge from Text, 2018)

Mining Entity Synonyms with Efficient Neural Set Generation. - Jiaming Shen; Ruiliang Lyu; Xiang Ren 001; Michelle Vanni; Brian M. Sadler; Jiawei Han 001 (AAAI, 2019)

Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction. - Yujin Yuan; Liyuan Liu; Siliang Tang; Zhongfei Zhang; Yueting Zhuang; Shiliang Pu; Fei Wu 001; Xiang Ren 001 (AAAI, 2019)

Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis. - Junyi Du; He Jiang; Jiaming Shen; Xiang Ren 001 (ACL (1), 2019)

AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging. - Bill Yuchen Lin; Dong-Ho Lee; Frank F. Xu; Ouyu Lan; Xiang Ren 001 (ACL (3), 2019)

KCAT: A Knowledge-Constraint Typing Annotation Tool. - Sheng Lin; Luye Zheng; Bo Chen; Siliang Tang; Zhigang Chen 003; Guoping Hu; Yueting Zhuang; Fei Wu 001; Xiang Ren 001 (ACL (3), 2019)

Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion. - Xuan Wang 008; Yu Zhang 044; Qi Li 012; Xiang Ren 001; Jingbo Shang; Jiawei Han 001 (BIBM, 2019)

Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach. - Hyungsul Kim; Ahmed El-Kishky; Xiang Ren 001; Jiawei Han 001 (IEEE BigData, 2019)

Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes. - Aida Mostafazadeh Davani; Leigh Yeh; Mohammad Atari; Brendan Kennedy 001; Gwenyth Portillo-Wightman; Elaine Gonzalez; Natalie Delong; Rhea Bhatia; Arineh Mirinjian; Xiang Ren 001; Morteza Dehghani (EMNLP/IJCNLP (1), 2019)

Collaborative Policy Learning for Open Knowledge Graph Reasoning. - Cong Fu 001; Tong Chen; Meng Qu; Woojeong Jin 001; Xiang Ren 001 (EMNLP/IJCNLP (1), 2019)

KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning. - Bill Yuchen Lin; Xinyue Chen; Jamin Chen; Xiang Ren 001 (EMNLP/IJCNLP (1), 2019)

Hierarchical Text Classification with Reinforced Label Assignment. - Yuning Mao; Jingjing Tian; Jiawei Han 001; Xiang Ren 001 (EMNLP/IJCNLP (1), 2019)

HMEAE: Hierarchical Modular Event Argument Extraction. - Xiaozhi Wang; Ziqi Wang 003; Xu Han 007; Zhiyuan Liu 001; Juanzi Li; Peng Li 030; Maosong Sun 001; Jie Zhou 016; Xiang Ren 001 (EMNLP/IJCNLP (1), 2019)

Learning Dynamic Context Augmentation for Global Entity Linking. - Xiyuan Yang; Xiaotao Gu; Sheng Lin; Siliang Tang; Yueting Zhuang; Fei Wu 001; Zhigang Chen 003; Guoping Hu; Xiang Ren 001 (EMNLP/IJCNLP (1), 2019)

Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction. - Qinyuan Ye; Liyuan Liu; Maosen Zhang; Xiang Ren 001 (EMNLP/IJCNLP (1), 2019)

AtSNE: Efficient and Robust Visualization on GPU through Hierarchical Optimization. - Cong Fu 001; Yonghui Zhang; Deng Cai 001; Xiang Ren 001 (KDD, 2019)

Characterizing and Forecasting User Engagement with In-App Action Graph: A Case Study of Snapchat. - Yozen Liu; Xiaolin Shi; Lucas Pierce; Xiang Ren 001 (KDD, 2019)

Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering. - Bo Chen; Xiaotao Gu; Yufeng Hu; Siliang Tang; Guoping Hu; Yueting Zhuang; Xiang Ren 001 (NAACL-HLT (1), 2019)

Posterior-regularized REINFORCE for Instance Selection in Distant Supervision. - Qi Zhang 001; Siliang Tang; Xiang Ren 001; Fei Wu 001; Shiliang Pu; Yueting Zhuang (NAACL-HLT (1), 2019)

The ZJU-EDL System for Entity Discovery and Linking at TAC KBP 2019. - Yufeng Hu; Haochen Shi; Tao Chen; Siliang Tang; Quan Liu 003; Zhigang Chen 003; Xiang Ren 001; Fei Wu 001; Yueting Zhuang (TAC, 2019)

Integrating Local Context and Global Cohesiveness for Open Information Extraction. - Qi Zhu 008; Xiang Ren 001; Jingbo Shang; Yu Zhang 044; Ahmed El-Kishky; Jiawei Han 001 (WSDM, 2019)

Learning Dual Retrieval Module for Semi-supervised Relation Extraction. - Hongtao Lin; Jun Yan 012; Meng Qu; Xiang Ren 001 (WWW, 2019)

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph. - Weizhi Ma; Min Zhang 006; Yue Cao; Woojeong Jin 001; Chenyang Wang 003; Yiqun Liu 001; Shaoping Ma; Xiang Ren 001 (WWW, 2019)

Cross-type biomedical named entity recognition with deep multi-task learning. - Xuan Wang 008; Yu Zhang 044; Xiang Ren 001; Yuhao Zhang 004; Marinka Zitnik; Jingbo Shang; Curtis P. Langlotz; Jiawei Han 001 (Bioinform., 2019)

Recurrent Event Network for Reasoning over Temporal Knowledge Graphs. - Woojeong Jin 001; Changlin Zhang; Pedro A. Szekely; Xiang Ren 001 (CoRR, 2019)

Modeling Combinatorial Evolution in Time Series Prediction. - Wenjie Hu 003; Yang Yang 009; Zilong You; Zongtao Liu; Xiang Ren 001 (CoRR, 2019)

Adversarial Representation Learning on Large-Scale Bipartite Graphs. - Chaoyang He 001; Tian Xie 005; Yu Rong 001; Wen-bing Huang 001; Junzhou Huang; Xiang Ren 001; Cyrus Shahabi (CoRR, 2019)

Raw-to-End Name Entity Recognition in Social Media. - Liyuan Liu; Zihan Wang 001; Jingbo Shang; Dandong Yin; Heng Ji 001; Xiang Ren 001; Shaowen Wang 001; Jiawei Han 001 (CoRR, 2019)

Facet-Aware Evaluation for Extractive Text Summarization. - Yuning Mao; Liyuan Liu; Qi Zhu 008; Xiang Ren 001; Jiawei Han 001 (CoRR, 2019)

Neural Rule Grounding for Low-Resource Relation Extraction. - Wenxuan Zhou; Hongtao Lin; Ziqi Wang 003; Leonardo Neves; Xiang Ren 001 (CoRR, 2019)

Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations. - Ziqi Wang 003; Yujia Qin; Wenxuan Zhou; Jun Yan 001; Qinyuan Ye; Leonardo Neves; Zhiyuan Liu 001; Xiang Ren 001 (CoRR, 2019)

CommonGen: A Constrained Text Generation Dataset Towards Generative Commonsense Reasoning. - Bill Yuchen Lin; Ming Shen; Yu Xing; Pei Zhou; Xiang Ren 001 (CoRR, 2019)

Screenplay Quality Assessment: Can We Predict Who Gets Nominated? - Ming-Chang Chiu; Tiantian Feng; Xiang Ren 001; Shrikanth Narayanan (NUSE@ACL, 2020)

Contextualizing Hate Speech Classifiers with Post-hoc Explanation. - Brendan Kennedy 001; Xisen Jin; Aida Mostafazadeh Davani; Morteza Dehghani; Xiang Ren 001 (ACL, 2020)

Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling. - Ouyu Lan; Xiao Huang; Bill Yuchen Lin; He Jiang; Liyuan Liu; Xiang Ren 001 (ACL, 2020)

LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. - Dong-Ho Lee; Rahul Khanna; Bill Yuchen Lin; Seyeon Lee; Qinyuan Ye; Elizabeth Boschee; Leonardo Neves; Xiang Ren 001 (ACL (demo), 2020)

TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition. - Bill Yuchen Lin; Dong-Ho Lee; Ming Shen; Ryan Moreno; Xiao Huang; Prashant Shiralkar; Xiang Ren 001 (ACL, 2020)

Facet-Aware Evaluation for Extractive Summarization. - Yuning Mao; Liyuan Liu; Qi Zhu 008; Xiang Ren 001; Jiawei Han 001 (ACL, 2020)

CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning. - Bill Yuchen Lin; Ming Shen; Wangchunshu Zhou; Pei Zhou; Chandra Bhagavatula; Yejin Choi 001; Xiang Ren 001 (AKBC, 2020)

Generating Natural Language Adversarial Examples on a Large Scale with Generative Models. - Yankun Ren; Jianbin Lin; Siliang Tang; Jun Zhou 011; Shuang Yang; Yuan Qi 001; Xiang Ren 001 (ECAI, 2020)

Will this Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora. - Hancheng Cao; Mengjie Cheng; Zhepeng Cen; Daniel A. McFarland; Xiang Ren 001 (EMNLP (Findings), 2020)

Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering. - Yanlin Feng; Xinyue Chen; Bill Yuchen Lin; Peifeng Wang; Jun Yan 012; Xiang Ren 001 (EMNLP (1), 2020)

Visually Grounded Continual Learning of Compositional Phrases. - Xisen Jin; Junyi Du; Arka Sadhu; Ram Nevatia; Xiang Ren 001 (EMNLP (1), 2020)

Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs. - Woojeong Jin 001; Meng Qu; Xisen Jin; Xiang Ren 001 (EMNLP (1), 2020)

Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning. - Deren Lei; Gangrong Jiang; Xiaotao Gu; Kexuan Sun 002; Yuning Mao; Xiang Ren 001 (EMNLP (1), 2020)

Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language Models. - Bill Yuchen Lin; Seyeon Lee; Rahul Khanna; Xiang Ren 001 (EMNLP (1), 2020)

Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning. - Yuning Mao; Yanru Qu; Yiqing Xie; Xiang Ren 001; Jiawei Han 001 (EMNLP (1), 2020)

SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery. - Jiaming Shen; Wenda Qiu; Jingbo Shang; Michelle Vanni; Xiang Ren 001; Jiawei Han 001 (EMNLP (1), 2020)

Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering. - Peifeng Wang; Nanyun Peng 001; Filip Ilievski; Pedro A. Szekely; Xiang Ren 001 (EMNLP (Findings), 2020)

Teaching Machine Comprehension with Compositional Explanations. - Qinyuan Ye; Xiao Huang; Elizabeth Boschee; Xiang Ren 001 (EMNLP (Findings), 2020)

Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models. - Xisen Jin; Zhongyu Wei; Junyi Du; Xiangyang Xue 001; Xiang Ren 001 (ICLR, 2020)

Learning from Explanations with Neural Execution Tree. - Ziqi Wang 003; Yujia Qin; Wenxuan Zhou; Jun Yan 012; Qinyuan Ye; Leonardo Neves; Zhiyuan Liu 001; Xiang Ren 001 (ICLR, 2020)

Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution. - Sankalp Garg; Navodita Sharma; Woojeong Jin 001; Xiang Ren 001 (IJCAI, 2020)

Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training. - Haochen Shi; Siliang Tang; Xiaotao Gu; Bo Chen; Zhigang Chen 003; Jian Shao 001; Xiang Ren 001 (IJCAI, 2020)

NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction. - Wenxuan Zhou; Hongtao Lin; Bill Yuchen Lin; Ziqi Wang 003; Junyi Du; Leonardo Neves; Xiang Ren 001 (WWW, 2020)

Dynamic network embedding via incremental skip-gram with negative sampling. - Hao Peng 001; Jianxin Li 002; Hao Yan 004; Qiran Gong; Senzhang Wang; Lin Liu; Lihong Wang; Xiang Ren 001 (Sci. China Inf. Sci., 2020)

LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. - Dong-Ho Lee; Rahul Khanna; Bill Yuchen Lin; Jamin Chen; Seyeon Lee; Qinyuan Ye; Elizabeth Boschee; Leonardo Neves; Xiang Ren 001 (CoRR, 2020)

Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering. - Peifeng Wang; Nanyun Peng 001; Pedro A. Szekely; Xiang Ren 001 (CoRR, 2020)

Can BERT Reason? Logically Equivalent Probes for Evaluating the Inference Capabilities of Language Models. - Pei Zhou; Rahul Khanna; Bill Yuchen Lin; Daniel Ho; Xiang Ren 001; Jay Pujara (CoRR, 2020)

Visually Grounded Continual Learning of Compositional Semantics. - Xisen Jin; Junyi Du; Xiang Ren 001 (CoRR, 2020)

ForecastQA: Machine Comprehension of Temporal Text for Answering Forecasting Questions. - Woojeong Jin 001; Suji Kim; Xiang Ren 001 (CoRR, 2020)

Teaching Machine Comprehension with Compositional Explanations. - Qinyuan Ye; Xiao Huang; Xiang Ren 001 (CoRR, 2020)

Gradient Based Memory Editing for Task-Free Continual Learning. - Xisen Jin; Junyi Du; Xiang Ren 001 (CoRR, 2020)

Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation. - Yuning Mao; Xiang Ren 001; Heng Ji 001; Jiawei Han 001 (CoRR, 2020)

Fair Hate Speech Detection through Evaluation of Social Group Counterfactuals. - Aida Mostafazadeh Davani; Ali Omrani; Brendan Kennedy 001; Mohammad Atari; Xiang Ren 001; Morteza Dehghani (CoRR, 2020)

Efficiently Mitigating Classification Bias via Transfer Learning. - Xisen Jin; Francesco Barbieri; Aida Mostafazadeh Davani; Brendan Kennedy 001; Leonardo Neves; Xiang Ren 001 (CoRR, 2020)

Learning Contextualized Knowledge Structures for Commonsense Reasoning. - Jun Yan 012; Mrigank Raman; Tianyu Zhang; Ryan A. Rossi; Handong Zhao; Sungchul Kim; Nedim Lipka; Xiang Ren 001 (CoRR, 2020)

Pre-training Text-to-Text Transformers for Concept-centric Common Sense. - Wangchunshu Zhou; Dong-Ho Lee; Ravi Kiran Selvam; Seyeon Lee; Bill Yuchen Lin; Xiang Ren 001 (CoRR, 2020)

DEER: A Data Efficient Language Model for Event Temporal Reasoning. - Rujun Han; Xiang Ren 001; Nanyun Peng 001 (CoRR, 2020)

Studying Strategically: Learning to Mask for Closed-book QA. - Qinyuan Ye; Belinda Z. Li; Sinong Wang; Benjamin Bolte; Hao Ma 001; Wen-tau Yih; Xiang Ren 001; Madian Khabsa (CoRR, 2020)

IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization. - Wenxuan Zhou; Bill Yuchen Lin; Xiang Ren 001 (AAAI, 2021)

ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data. - Woojeong Jin 001; Rahul Khanna; Suji Kim; Dong-Ho Lee; Fred Morstatter; Aram Galstyan; Xiang Ren 001 (ACL/IJCNLP (1), 2021)

Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning. - Bill Yuchen Lin; Seyeon Lee; Xiaoyang Qiao; Xiang Ren 001 (ACL/IJCNLP (1), 2021)

RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge. - Bill Yuchen Lin; Ziyi Wu; Yichi Yang; Dong-Ho Lee; Xiang Ren 001 (ACL/IJCNLP (Findings), 2021)

Do Language Models Perform Generalizable Commonsense Inference? - Peifeng Wang; Filip Ilievski; Muhao Chen 001; Xiang Ren 001 (ACL/IJCNLP (Findings), 2021)

Learning Contextualized Knowledge Structures for Commonsense Reasoning. - Jun Yan 012; Mrigank Raman; Aaron Chan; Tianyu Zhang; Ryan A. Rossi; Handong Zhao; Sungchul Kim; Nedim Lipka; Xiang Ren 001 (ACL/IJCNLP (Findings), 2021)

AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding. - Jun Yan 012; Nasser Zalmout; Yan Liang 004; Christan Grant; Xiang Ren 001; Xin Luna Dong (ACL/IJCNLP (1), 2021)

Learning to Generate Task-Specific Adapters from Task Description. - Qinyuan Ye; Xiang Ren 001 (ACL/IJCNLP (2), 2021)

One-shot Learning for Temporal Knowledge Graphs. - Mehrnoosh Mirtaheri; Mohammad Rostami; Xiang Ren 001; Fred Morstatter; Aram Galstyan (AKBC, 2021)

Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation. - Mozhdeh Gheini; Xiang Ren 001; Jonathan May (EMNLP (1), 2021)

ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning. - Rujun Han; Xiang Ren 001; Nanyun Peng 001 (EMNLP (1), 2021)

Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning. - Xisen Jin; Bill Yuchen Lin; Mohammad Rostami; Xiang Ren 001 (EMNLP (Findings), 2021)

MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding. - Woojeong Jin 001; Maziar Sanjabi; Shaoliang Nie; Liang Tan 005; Xiang Ren 001; Hamed Firooz (EMNLP (Findings), 2021)

RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models. - Bill Yuchen Lin; Wenyang Gao; Jun Yan 012; Ryan Moreno; Xiang Ren 001 (EMNLP (1), 2021)

Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation. - Yuning Mao; Wenchang Ma; Deren Lei; Jiawei Han 001; Xiang Ren 001 (EMNLP (1), 2021)

Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources. - Ninareh Mehrabi; Pei Zhou; Fred Morstatter; Jay Pujara; Xiang Ren 001; Aram Galstyan (EMNLP (1), 2021)

Discretized Integrated Gradients for Explaining Language Models. - Soumya Sanyal 001; Xiang Ren 001 (EMNLP (1), 2021)

CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP. - Qinyuan Ye; Bill Yuchen Lin; Xiang Ren 001 (EMNLP (1), 2021)

On the Influence of Masking Policies in Intermediate Pre-training. - Qinyuan Ye; Belinda Z. Li; Sinong Wang; Benjamin Bolte; Hao Ma 001; Wen-tau Yih; Xiang Ren 001; Madian Khabsa (EMNLP (1), 2021)

Probing Commonsense Explanation in Dialogue Response Generation. - Pei Zhou; Pegah Jandaghi; Hyundong Cho; Bill Yuchen Lin; Jay Pujara; Xiang Ren 001 (EMNLP (Findings), 2021)

RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms. - Pei Zhou; Rahul Khanna; Seyeon Lee; Bill Yuchen Lin; Daniel Ho; Jay Pujara; Xiang Ren 001 (EMNLP (1), 2021)

Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. - Mrigank Raman; Aaron Chan; Siddhant Agarwal; Peifeng Wang; Hansen Wang; Sungchul Kim; Ryan A. Rossi; Handong Zhao; Nedim Lipka; Xiang Ren 001 (ICLR, 2021)

Pre-training Text-to-Text Transformers for Concept-centric Common Sense. - Wangchunshu Zhou; Dong-Ho Lee; Ravi Kiran Selvam; Seyeon Lee; Xiang Ren 001 (ICLR, 2021)

On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning. - Xisen Jin; Francesco Barbieri; Brendan Kennedy 001; Aida Mostafazadeh Davani; Leonardo Neves; Xiang Ren 001 (NAACL-HLT, 2021)

Differentiable Open-Ended Commonsense Reasoning. - Bill Yuchen Lin; Haitian Sun; Bhuwan Dhingra; Manzil Zaheer; Xiang Ren 001; William W. Cohen (NAACL-HLT, 2021)

X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question Answering. - Meryem M'hamdi; Doo Soon Kim; Franck Dernoncourt; Trung Bui; Xiang Ren 001; Jonathan May (NAACL-HLT, 2021)

TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names. - Jiaming Shen; Wenda Qiu; Yu Meng 001; Jingbo Shang; Xiang Ren 001; Jiawei Han 001 (NAACL-HLT, 2021)

SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning. - Aaron Chan; Jiashu Xu; Boyuan Long; Soumya Sanyal 001; Tanishq Gupta; Xiang Ren 001 (NeurIPS, 2021)

Gradient-based Editing of Memory Examples for Online Task-free Continual Learning. - Xisen Jin; Arka Sadhu; Junyi Du; Xiang Ren 001 (NeurIPS, 2021)

Refining Language Models with Compositional Explanations. - Huihan Yao; Ying Chen; Qinyuan Ye; Xisen Jin; Xiang Ren 001 (NeurIPS, 2021)

Semi-automated protocol disambiguation and code generation. - Jane Yen; Tamás Lévai; Qinyuan Ye; Xiang Ren 001; Ramesh Govindan; Barath Raghavan (SIGCOMM, 2021)

Commonsense-Focused Dialogues for Response Generation: An Empirical Study. - Pei Zhou; Karthik Gopalakrishnan 001; Behnam Hedayatnia; Seokhwan Kim; Jay Pujara; Xiang Ren 001; Yang Liu 004; Dilek Hakkani-Tür (SIGDIAL, 2021)

Time-Series Event Prediction with Evolutionary State Graph. - Wenjie Hu 003; Yang Yang 009; Ziqiang Cheng; Carl Yang 001; Xiang Ren 001 (WSDM, 2021)

RiddleSense: Answering Riddle Questions as Commonsense Reasoning. - Bill Yuchen Lin; Ziyi Wu; Yichi Yang; Dong-Ho Lee; Xiang Ren 001 (CoRR, 2021)

Zero-shot Learning by Generating Task-specific Adapters. - Qinyuan Ye; Xiang Ren 001 (CoRR, 2021)

Modality-specific Distillation. - Woojeong Jin 001; Maziar Sanjabi; Shaoliang Nie; Liang Tan 005; Xiang Ren 001; Hamed Firooz (CoRR, 2021)

Refining Neural Networks with Compositional Explanations. - Huihan Yao; Ying Chen; Qinyuan Ye; Xisen Jin; Xiang Ren 001 (CoRR, 2021)

Social media polarization and echo chambers: A case study of COVID-19. - Julie Jiang; Xiang Ren 001; Emilio Ferrara (CoRR, 2021)

Extract, Denoise, and Enforce: Evaluating and Predicting Lexical Constraints for Conditional Text Generation. - Yuning Mao; Wenchang Ma; Deren Lei; Xiang Ren 001 (CoRR, 2021)

On the Strengths of Cross-Attention in Pretrained Transformers for Machine Translation. - Mozhdeh Gheini; Xiang Ren 001; Jonathan May (CoRR, 2021)

Lifelong Learning of Few-shot Learners across NLP Tasks. - Xisen Jin; Mohammad Rostami; Xiang Ren 001 (CoRR, 2021)

FedNLP: A Research Platform for Federated Learning in Natural Language Processing. - Bill Yuchen Lin; Chaoyang He 001; Zihang Zeng; Hulin Wang; Yufen Huang; Mahdi Soltanolkotabi; Xiang Ren 001; Salman Avestimehr (CoRR, 2021)

Probing Causal Common Sense in Dialogue Response Generation. - Pei Zhou; Pegah Jandaghi; Bill Yuchen Lin; Justin Cho; Jay Pujara; Xiang Ren 001 (CoRR, 2021)

Improving Counterfactual Generation for Fair Hate Speech Detection. - Aida Mostafazadeh Davani; Ali Omrani; Brendan Kennedy 001; Mohammad Atari; Xiang Ren 001; Morteza Dehghani (CoRR, 2021)

AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction. - Dong-Ho Lee; Ravi Kiran Selvam; Sheikh Muhammad Sarwar; Bill Yuchen Lin; Mahak Agarwal; Fred Morstatter; Jay Pujara; Elizabeth Boschee; James Allan; Xiang Ren 001 (CoRR, 2021)

Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER. - Dong-Ho Lee; Mahak Agarwal; Akshen Kadakia; Jay Pujara; Xiang Ren 001 (CoRR, 2021)

Think Before You Speak: Using Self-talk to Generate Implicit Commonsense Knowledge for Response Generation. - Pei Zhou; Karthik Gopalakrishnan 001; Behnam Hedayatnia; Seokhwan Kim; Jay Pujara; Xiang Ren 001; Yang Liu 004; Dilek Hakkani-Tur (CoRR, 2021)

Sparse Distillation: Speeding Up Text Classification by Using Bigger Models. - Qinyuan Ye; Madian Khabsa; Mike Lewis; Sinong Wang; Xiang Ren 001; Aaron Jaech (CoRR, 2021)

A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models. - Woojeong Jin 001; Yu Cheng 001; Yelong Shen; Weizhu Chen; Xiang Ren 001 (ACL (1), 2022)

Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer. - Woojeong Jin 001; Dong-Ho Lee; Chenguang Zhu 001; Jay Pujara; Xiang Ren 001 (ACL (1), 2022)

Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER. - Dong-Ho Lee; Akshen Kadakia; Kangmin Tan; Mahak Agarwal; Xinyu Feng; Takashi Shibuya 001; Ryosuke Mitani; Toshiyuki Sekiya; Jay Pujara; Xiang Ren 001 (ACL (1), 2022)

On Continual Model Refinement in Out-of-Distribution Data Streams. - Bill Yuchen Lin; Sida Wang 001; Xi Victoria Lin; Robin Jia; Lin Xiao; Xiang Ren 001; Scott Yih (ACL (1), 2022)

FaiRR: Faithful and Robust Deductive Reasoning over Natural Language. - Soumya Sanyal 001; Harman Singh; Xiang Ren 001 (ACL (1), 2022)

KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. - Donghan Yu; Chenguang Zhu 001; Yuwei Fang; Wenhao Yu 002; Shuohang Wang; Yichong Xu; Xiang Ren 001; Yiming Yang; Michael Zeng 001 (ACL (1), 2022)

Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation. - Pei Zhou; Karthik Gopalakrishnan 001; Behnam Hedayatnia; Seokhwan Kim; Jay Pujara; Xiang Ren 001; Yang Liu 004; Dilek Hakkani-Tur (ACL (1), 2022)

RobustLR: A Diagnostic Benchmark for Evaluating Logical Robustness of Deductive Reasoners. - Soumya Sanyal 001; Zeyi Liao; Xiang Ren 001 (EMNLP, 2022)

Machine Translation Robustness to Natural Asemantic Variation. - Jacob Bremerman; Xiang Ren 001; Jonathan May (EMNLP, 2022)

ER-Test: Evaluating Explanation Regularization Methods for Language Models. - Brihi Joshi; Aaron Chan; Ziyi Liu 007; Shaoliang Nie; Maziar Sanjabi; Hamed Firooz; Xiang Ren 001 (EMNLP (Findings), 2022)

Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts. - Qinyuan Ye; Juan Zha; Xiang Ren 001 (EMNLP (Findings), 2022)

Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality. - Pei Zhou; Hyundong Cho; Pegah Jandaghi; Dong-Ho Lee; Bill Yuchen Lin; Jay Pujara; Xiang Ren 001 (EMNLP, 2022)

Contextualized Scene Imagination for Generative Commonsense Reasoning. - Peifeng Wang; Jonathan Zamora; Junfeng Liu; Filip Ilievski; Muhao Chen 001; Xiang Ren 001 (ICLR, 2022)

UNIREX: A Unified Learning Framework for Language Model Rationale Extraction. - Aaron Chan; Maziar Sanjabi; Lambert Mathias; Liang Tan 005; Shaoliang Nie; Xiaochang Peng; Xiang Ren 001; Hamed Firooz (ICML, 2022)

Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. - Xisen Jin; Dejiao Zhang; Henghui Zhu; Wei Xiao 001; Shang-Wen Li 001; Xiaokai Wei; Andrew O. Arnold; Xiang Ren 001 (NAACL-HLT, 2022)

FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks. - Bill Yuchen Lin; Chaoyang He 001; Zihang Ze; Hulin Wang; Yufen Hua; Christophe Dupuy; Rahul Gupta 001; Mahdi Soltanolkotabi; Xiang Ren 001; Salman Avestimehr (NAACL-HLT (Findings), 2022)

NewsEdits: A News Article Revision Dataset and a Novel Document-Level Reasoning Challenge. - Alexander Spangher; Xiang Ren 001; Jonathan May; Nanyun Peng 001 (NAACL-HLT, 2022)

On the Robustness of Reading Comprehension Models to Entity Renaming. - Jun Yan 012; Yang Xiao; Sagnik Mukherjee; Bill Yuchen Lin; Robin Jia; Xiang Ren 001 (NAACL-HLT, 2022)

Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models. - Qinyuan Ye; Madian Khabsa; Mike Lewis; Sinong Wang; Xiang Ren 001; Aaron Jaech (NAACL-HLT, 2022)

Unsupervised Cross-Task Generalization via Retrieval Augmentation. - Bill Yuchen Lin; Kangmin Tan; Chris Miller; Beiwen Tian; Xiang Ren 001 (NeurIPS, 2022)

Assessing Scientific Research Papers with Knowledge Graphs. - Kexuan Sun 002; Zhiqiang Qiu; Abel Salinas; Yuzhong Huang; Dong-Ho Lee; Daniel Benjamin; Fred Morstatter; Xiang Ren 001; Kristina Lerman; Jay Pujara (SIGIR, 2022)

Cross-lingual Lifelong Learning. - Meryem M'hamdi; Xiang Ren 001; Jonathan May (CoRR, 2022)

ER-TEST: Evaluating Explanation Regularization Methods for NLP Models. - Brihi Joshi; Aaron Chan; Ziyi Liu 007; Shaoliang Nie; Maziar Sanjabi; Hamed Firooz; Xiang Ren 001 (CoRR, 2022)

RobustLR: Evaluating Robustness to Logical Perturbation in Deductive Reasoning. - Soumya Sanyal 001; Zeyi Liao; Xiang Ren 001 (CoRR, 2022)

Textual Backdoor Attacks with Iterative Trigger Injection. - Jun Yan 012; Vansh Gupta; Xiang Ren 001 (CoRR, 2022)

Eliciting Transferability in Multi-task Learning with Task-level Mixture-of-Experts. - Qinyuan Ye; Juan Zha; Xiang Ren 001 (CoRR, 2022)

NewsEdits: A News Article Revision Dataset and a Document-Level Reasoning Challenge. - Alexander Spangher; Xiang Ren 001; Jonathan May; Nanyun Peng 001 (CoRR, 2022)

FRAME: Evaluating Simulatability Metrics for Free-Text Rationales. - Aaron Chan; Shaoliang Nie; Liang Tan 005; Xiaochang Peng; Hamed Firooz; Maziar Sanjabi; Xiang Ren 001 (CoRR, 2022)

MMGA: Multimodal Learning with Graph Alignment. - Xuan Yang; Quanjin Tao; Xiao Feng; Donghong Cai; Xiang Ren 001; Yang Yang 009 (CoRR, 2022)

CoNAL: Anticipating Outliers with Large Language Models. - Albert Xu; Xiang Ren 001; Robin Jia (CoRR, 2022)

KNIFE: Knowledge Distillation with Free-Text Rationales. - Aaron Chan; Zhiyuan Zeng; Wyatt Lake; Brihi Joshi; Hanjie Chen; Xiang Ren 001 (CoRR, 2022)

An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. - Pei Zhou; Andrew Zhu; Jennifer Hu 001; Jay Pujara; Xiang Ren 001; Chris Callison-Burch; Yejin Choi 001; Prithviraj Ammanabrolu (CoRR, 2022)

PairReranker: Pairwise Reranking for Natural Language Generation. - Dongfu Jiang; Bill Yuchen Lin; Xiang Ren 001 (CoRR, 2022)

On Grounded Planning for Embodied Tasks with Language Models. - Bill Yuchen Lin; Chengsong Huang; Qian Liu 012; Wenda Gu; Sam Sommerer; Xiang Ren 001 (AAAI, 2023)

APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. - Soumya Sanyal 001; Yichong Xu; Shuohang Wang; Ziyi Yang; Reid Pryzant; Wenhao Yu 002; Chenguang Zhu 001; Xiang Ren 001 (ACL (1), 2023)

BITE: Textual Backdoor Attacks with Iterative Trigger Injection. - Jun Yan 012; Vansh Gupta; Xiang Ren 001 (ACL (1), 2023)

REV: Information-Theoretic Evaluation of Free-Text Rationales. - Hanjie Chen; Faeze Brahman; Xiang Ren 001; Yangfeng Ji; Yejin Choi 001; Swabha Swayamdipta (ACL (1), 2023)

LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion. - Dongfu Jiang; Xiang Ren 001; Bill Yuchen Lin (ACL (1), 2023)

Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales. - Brihi Joshi; Ziyi Liu 007; Sahana Ramnath; Aaron Chan; Zhewei Tong; Shaoliang Nie; Qifan Wang 001; Yejin Choi 001; Xiang Ren 001 (ACL (1), 2023)

XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models. - Dong-Ho Lee; Akshen Kadakia; Brihi Joshi; Aaron Chan; Ziyi Liu 007; Kiran Narahari; Takashi Shibuya 001; Ryosuke Mitani; Toshiyuki Sekiya; Jay Pujara; Xiang Ren 001 (ACL (demo), 2023)

Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step. - Liunian Harold Li; Jack Hessel; Youngjae Yu; Xiang Ren 001; Kai-Wei Chang; Yejin Choi 001 (ACL (1), 2023)

Cross-lingual Continual Learning. - Meryem M'hamdi; Xiang Ren 001; Jonathan May (ACL (1), 2023)

SCOTT: Self-Consistent Chain-of-Thought Distillation. - Peifeng Wang; Zhengyang Wang; Zheng Li 018; Yifan Gao 001; Bing Yin; Xiang Ren 001 (ACL (1), 2023)

Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models. - Albert Xu; Xiang Ren 001; Robin Jia (ACL (1), 2023)

FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning. - Qinyuan Ye; Iz Beltagy; Matthew E. Peters; Xiang Ren 001; Hannaneh Hajishirzi (ACL (1), 2023)

I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. - Pei Zhou; Andrew Zhu; Jennifer Hu 001; Jay Pujara; Xiang Ren 001; Chris Callison-Burch; Yejin Choi 001; Prithviraj Ammanabrolu (ACL (1), 2023)

AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction. - Dong-Ho Lee; Ravi Kiran Selvam; Sheikh Muhammad Sarwar; Bill Yuchen Lin; Fred Morstatter; Jay Pujara; Elizabeth Boschee; James Allan; Xiang Ren 001 (EACL, 2023)

Estimating Large Language Model Capabilities without Labeled Test Data. - Harvey Yiyun Fu; Qinyuan Ye; Albert Xu; Xiang Ren 001; Robin Jia (EMNLP (Findings), 2023)

Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. - Ximing Lu; Faeze Brahman; Peter West; Jaehun Jung; Khyathi Raghavi Chandu; Abhilasha Ravichander; Prithviraj Ammanabrolu; Liwei Jiang; Sahana Ramnath; Nouha Dziri; Jillian Fisher; Bill Y. Lin; et al. (EMNLP, 2023)

How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench. - Qinyuan Ye; Harvey Yiyun Fu; Xiang Ren 001; Robin Jia (EMNLP (Findings), 2023)

Dataless Knowledge Fusion by Merging Weights of Language Models. - Xisen Jin; Xiang Ren 001; Daniel Preotiuc-Pietro; Pengxiang Cheng 001 (ICLR, 2023)

PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales. - Peifeng Wang; Aaron Chan; Filip Ilievski; Muhao Chen 001; Xiang Ren 001 (ICLR, 2023)

Retweet-BERT: Political Leaning Detection Using Language Features and Information Diffusion on Social Networks. - Julie Jiang; Xiang Ren 001; Emilio Ferrara (ICWSM, 2023)

Faith and Fate: Limits of Transformers on Compositionality. - Nouha Dziri; Ximing Lu; Melanie Sclar; Xiang Lorraine Li; Liwei Jiang; Bill Yuchen Lin; Sean Welleck; Peter West; Chandra Bhagavatula; Ronan Le Bras 001; Jena D. Hwang; Soumya Sanyal 001; et al. (NeurIPS, 2023)

SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks. - Bill Yuchen Lin; Yicheng Fu; Karina Yang; Faeze Brahman; Shiyu Huang 001; Chandra Bhagavatula; Prithviraj Ammanabrolu; Yejin Choi 001; Xiang Ren 001 (NeurIPS, 2023)

Knowledge-Augmented Methods for Natural Language Processing. - Chenguang Zhu 001; Yichong Xu; Xiang Ren 001; Bill Yuchen Lin; Meng Jiang 001; Wenhao Yu 002 (WSDM, 2023)

GRILL: Grounded Vision-language Pre-training via Aligning Text and Image Regions. - Woojeong Jin 001; Subhabrata Mukherjee; Yu Cheng 001; Yelong Shen; Weizhu Chen; Ahmed Hassan Awadallah; Damien Jose; Xiang Ren 001 (CoRR, 2023)

PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning. - Faeze Brahman; Chandra Bhagavatula; Valentina Pyatkin; Jena D. Hwang; Xiang Lorraine Li; Hirona Jacqueline Arai; Soumya Sanyal 001; Keisuke Sakaguchi; Xiang Ren 001; Yejin Choi 001 (CoRR, 2023)

DOMINO: A Dual-System for Multi-step Visual Language Reasoning. - Peifang Wang; Olga Golovneva; Armen Aghajanyan; Xiang Ren 001; Muhao Chen 001; Asli Celikyilmaz; Maryam Fazel-Zarandi (CoRR, 2023)

How FaR Are Large Language Models From Agents with Theory-of-Mind? - Pei Zhou; Aman Madaan; Srividya Pranavi Potharaju; Aditya Gupta; Kevin R. McKee; Ari Holtzman; Jay Pujara; Xiang Ren 001; Swaroop Mishra; Aida Nematzadeh; Shyam Upadhyay; Manaal Faruqui (CoRR, 2023)

In Search of the Long-Tail: Systematic Generation of Long-Tail Knowledge via Logical Rule Guided Search. - Huihan Li 001; Yuting Ning; Zeyi Liao; Siyuan Wang; Xiang Lorraine Li; Ximing Lu; Faeze Brahman; Wenting Zhao; Yejin Choi 001; Xiang Ren 001 (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Hybrid forecasting of geopolitical events†. - Daniel M. Benjamin; Fred Morstatter; Ali E. Abbas; Andrés Abeliuk; Pavel Atanasov; Stephen Bennett; Andreas Beger; Saurabh Birari; David V. Budescu; Michele Catasta; Emilio Ferrara; Lucas Haravitch; et al. (AI Mag., 2023)

Logic-Induced-Long-Tail (LINT). - Huihan Li 001; Yuting Ning; Zeyi Liao; Xiang Ren 001 (Zenodo, 2023)

L-BGNN: Layerwise Trained Bipartite Graph Neural Networks. - Tian Xie 005; Chaoyang He 001; Xiang Ren 001; Cyrus Shahabi; C.-C. Jay Kuo (IEEE Trans. Neural Networks Learn. Syst., 2023)

Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification. - Soumya Sanyal 001; Tianyi Xiao; Jiacheng Liu 010; Wenya Wang 001; Xiang Ren 001 (ACL (Findings), 2024)

Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs. - Siyuan Wang; Zhongyu Wei; Yejin Choi 001; Xiang Ren 001 (ACL (1), 2024)

Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty. - Kaitlyn Zhou; Jena D. Hwang; Xiang Ren 001; Maarten Sap (ACL (1), 2024)

In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search. - Huihan Li 001; Yuting Ning; Zeyi Liao; Siyuan Wang; Xiang Li 069; Ximing Lu; Wenting Zhao; Faeze Brahman; Yejin Choi 001; Xiang Ren 001 (EMNLP, 2024)

Symbolic Working Memory Enhances Language Models for Complex Rule Application. - Siyuan Wang; Zhongyu Wei; Yejin Choi 001; Xiang Ren 001 (EMNLP, 2024)

PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning. - Faeze Brahman; Chandra Bhagavatula; Valentina Pyatkin; Jena D. Hwang; Xiang Lorraine Li; Hirona Jacqueline Arai; Soumya Sanyal 001; Keisuke Sakaguchi; Xiang Ren 001; Yejin Choi 001 (ICLR, 2024)

Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement. - Linlu Qiu; Liwei Jiang; Ximing Lu; Melanie Sclar; Valentina Pyatkin; Chandra Bhagavatula; Bailin Wang; Yoon Kim; Yejin Choi 001; Nouha Dziri; Xiang Ren 001 (ICLR, 2024)

Tailoring Self-Rationalizers with Multi-Reward Distillation. - Sahana Ramnath; Brihi Joshi; Skyler Hallinan; Ximing Lu; Liunian Harold Li; Aaron Chan; Jack Hessel; Yejin Choi 001; Xiang Ren 001 (ICLR, 2024)

WildChat: 1M ChatGPT Interaction Logs in the Wild. - Wenting Zhao; Xiang Ren 001; Jack Hessel; Claire Cardie; Yejin Choi 001; Yuntian Deng (ICLR, 2024)

What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement. - Xisen Jin; Xiang Ren 001 (ICML, 2024)

Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack. - Xiaoyue Xu; Qinyuan Ye; Xiang Ren 001 (NeurIPS, 2024)

SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures. - Pei Zhou; Jay Pujara; Xiang Ren 001; Xinyun Chen; Heng-Tze Cheng; Quoc V. Le; Ed H. Chi; Denny Zhou; Swaroop Mishra; Huaixiu Steven Zheng (NeurIPS, 2024)

WinoViz: Probing Visual Properties of Objects Under Different States. - Woojeong Jin 001; Tejas Srinivasan; Jesse Thomason; Xiang Ren 001 (CoRR, 2024)

Logits of API-Protected LLMs Leak Proprietary Information. - Matthew Finlayson; Xiang Ren 001; Swabha Swayamdipta (CoRR, 2024)

CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language Prompting. - Huihan Li 001; Liwei Jiang; Jena D. Huang; Hyunwoo Kim 002; Sebastin Santy; Taylor Sorensen; Bill Yuchen Lin; Nouha Dziri; Xiang Ren 001; Yejin Choi 001 (CoRR, 2024)

Demystifying Forgetting in Language Model Fine-Tuning with Statistical Analysis of Example Associations. - Xisen Jin; Xiang Ren 001 (CoRR, 2024)

Rethinking Backdoor Detection Evaluation for Language Models. - Jun Yan 012; Wenjie Mo 001; Xiang Ren 001; Robin Jia (CoRR, 2024)

WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild. - Yuntian Deng; Wenting Zhao; Jack Hessel; Xiang Ren 001; Claire Cardie; Yejin Choi 001 (CoRR, 2024)

Diverging Preferences: When do Annotators Disagree and do Models Know? - Michael J. Q. Zhang; Zhilin Wang; Jena D. Hwang; Yi Dong; Olivier Delalleau; Yejin Choi 001; Eunsol Choi; Xiang Ren 001; Valentina Pyatkin (CoRR, 2024)

Hybrid Forecasting of Geopolitical Events. - Daniel M. Benjamin; Fred Morstatter; Ali E. Abbas; Andrés Abeliuk; Pavel Atanasov; Stephen Bennett; Andreas Beger; Saurabh Birari; David V. Budescu; Michele Catasta; Emilio Ferrara; Lucas Haravitch; et al. (CoRR, 2024)

ELI-Why: Evaluating the Pedagogical Utility of Language Model Explanations. - Brihi Joshi; Keyu He; Sahana Ramnath; Sadra Sabouri; Kaitlyn Zhou; Souti Chattopadhyay; Swabha Swayamdipta; Xiang Ren 001 (ACL (Findings), 2025)

Attributing Culture-Conditioned Generations to Pretraining Corpora. - Huihan Li 001; Arnav Goel; Keyu He; Xiang Ren 001 (ICLR, 2025)

CAVE: Controllable Authorship Verification Explanations. - Sahana Ramnath; Kartik Pandey; Elizabeth Boschee; Xiang Ren 001 (NAACL (Long Papers), 2025)

REL-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance. - Kaitlyn Zhou; Jena D. Hwang; Xiang Ren 001; Nouha Dziri; Dan Jurafsky; Maarten Sap (NAACL (Long Papers), 2025)

REALTALK: A 21-Day Real-World Dataset for Long-Term Conversation. - Dong-Ho Lee; Adyasha Maharana; Jay Pujara; Xiang Ren 001; Francesco Barbieri (CoRR, 2025)

Stepwise Informativeness Search for Improving LLM Reasoning. - Siyuan Wang; Enda Zhao; Zhongyu Wei; Xiang Ren 001 (CoRR, 2025)

Improving LLM Personas via Rationalization with Psychological Scaffolds. - Brihi Joshi; Xiang Ren 001; Swabha Swayamdipta; Rik Koncel-Kedziorski; Tim Paek (CoRR, 2025)

Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries. - Sahana Ramnath; Anurag Mudgil; Brihi Joshi; Skyler Hallinan; Xiang Ren 001 (CoRR, 2025)

Better Language Model Inversion by Compactly Representing Next-Token Distributions. - Murtaza Nazir; Matthew Finlayson; John X. Morris; Xiang Ren 001; Swabha Swayamdipta (CoRR, 2025)

Function Induction and Task Generalization: An Interpretability Study with Off-by-One Addition. - Qinyuan Ye; Robin Jia; Xiang Ren 001 (CoRR, 2025)

Diagnosing Memorization in Chain-of-Thought Reasoning, One Token at a Time. - Huihan Li 001; You Chen; Siyuan Wang; Yixin He; Ninareh Mehrabi; Rahul Gupta 001; Xiang Ren 001 (CoRR, 2025)

The Surprising Effectiveness of Membership Inference with Simple N-Gram Coverage. - Skyler Hallinan; Jaehun Jung; Melanie Sclar; Ximing Lu; Abhilasha Ravichander; Sahana Ramnath; Yejin Choi 001; Sai Praneeth Karimireddy; Niloofar Mireshghallah; Xiang Ren 001 (CoRR, 2025)