Semi-supervised Dual Recurrent Neural Network for Sentiment Analysis. - Wenge Rong; Baolin Peng; Yuanxin Ouyang; Chao Li 001; Zhang Xiong 001 (DASC, 2013)

Recurrent conditional random field for language understanding. - Kaisheng Yao; Baolin Peng; Geoffrey Zweig; Dong Yu 001; Xiaolong Li; Feng Gao (ICASSP, 2014)

Spoken language understanding using long short-term memory neural networks. - Kaisheng Yao; Baolin Peng; Yu Zhang 033; Dong Yu 001; Geoffrey Zweig; Yangyang Shi (SLT, 2014)

Learning joint representation for community question answering with tri-modal DBM. - Baolin Peng; Wenge Rong; Yuanxin Ouyang; Chao Li 001; Zhang Xiong 001 (WWW (Companion Volume), 2014)

Auto-encoder based bagging architecture for sentiment analysis. - Wenge Rong; Yifan Nie; Yuanxin Ouyang; Baolin Peng; Zhang Xiong 001 (J. Vis. Lang. Comput., 2014)

Trending Sentiment-Topic Detection on Twitter. - Baolin Peng; Jing Li 049; Junwen Chen; Xu Han; Ruifeng Xu 001; Kam-Fai Wong (CICLing (2), 2015)

Using Content-level Structures for Summarizing Microblog Repost Trees. - Jing Li 049; Wei Gao 001; Zhongyu Wei; Baolin Peng; Kam-Fai Wong (EMNLP, 2015)

A factorization network based method for multi-lingual domain classification. - Yangyang Shi; Yi-Cheng Pan; Mei-Yuh Hwang; Kaisheng Yao; Hu Chen; Yuanhang Zou; Baolin Peng (ICASSP, 2015)

Contextual spoken language understanding using recurrent neural networks. - Yangyang Shi; Kaisheng Yao; Hu Chen; Yi-Cheng Pan; Mei-Yuh Hwang; Baolin Peng (ICASSP, 2015)

An empirical analysis of different sparse penalties for autoencoder in unsupervised feature learning. - Nan Jiang 010; Wenge Rong; Baolin Peng; Yifan Nie; Zhang Xiong 001 (IJCNN, 2015)

Recurrent Neural Networks with External Memory for Spoken Language Understanding. - Baolin Peng; Kaisheng Yao; Jing Li 049; Kam-Fai Wong (NLPCC, 2015)

Towards Neural Network-based Reasoning. - Baolin Peng; Zhengdong Lu; Hang Li 001; Kam-Fai Wong (CoRR, 2015)

Recurrent Neural Networks with External Memory for Language Understanding. - Baolin Peng; Kaisheng Yao (CoRR, 2015)

Attention with Intention for a Neural Network Conversation Model. - Kaisheng Yao; Geoffrey Zweig; Baolin Peng (CoRR, 2015)

Structural information aware deep semi-supervised recurrent neural network for sentiment analysis. - Wenge Rong; Baolin Peng; Yuanxin Ouyang; Chao Li 001; Zhang Xiong 001 (Frontiers Comput. Sci., 2015)

Collaborative personal profiling for web service ranking and recommendation. - Wenge Rong; Baolin Peng; Yuanxin Ouyang; Kecheng Liu; Zhang Xiong 001 (Inf. Syst. Frontiers, 2015)

ACE: Automatic Colloquialism, Typographical and Orthographic Errors Detection for Chinese Language. - Shichao Dong; Gabriel Pui Cheong Fung; Binyang Li; Baolin Peng; Ming Liao; Jia Zhu 003; Kam-Fai Wong (COLING (Demos), 2016)

An Attentional Neural Conversation Model with Improved Specificity. - Kaisheng Yao; Baolin Peng; Geoffrey Zweig; Kam-Fai Wong (CoRR, 2016)

Modeling Joint Representation with Tri-Modal Deep Belief Networks for Query and Question Matching. - Nan Jiang 010; Wenge Rong; Baolin Peng; Yifan Nie; Zhang Xiong 001 (IEICE Trans. Inf. Syst., 2016)

Word Embedding Based Correlation Model for Question/Answer Matching. - Yikang Shen; Wenge Rong; Nan Jiang 010; Baolin Peng; Jie Tang 001; Zhang Xiong 001 (AAAI, 2017)

May I take your order? A Neural Model for Extracting Structured Information from Conversations. - Baolin Peng; Michael L. Seltzer; Y. C. Ju; Geoffrey Zweig; Kam-Fai Wong (EACL (1), 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)

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)

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)

Task-oriented Dialogue System for Automatic Diagnosis. - Zhongyu Wei; Qianlong Liu; Baolin Peng; Huaixiao Tou; Ting Chen; Xuanjing Huang 001; Kam-Fai Wong; Xiangying Dai (ACL (2), 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)

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

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)

Building Personalized Simulator for Interactive Search. - Qianlong Liu; Baoliang Cui; Zhongyu Wei; Baolin Peng; Haikuan Huang; Hongbo Deng; Jianye Hao; Xuanjing Huang 001; Kam-Fai Wong (IJCAI, 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)

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)

Learning Efficient Dialogue Policy from Demonstrations through Shaping. - Huimin Wang; Baolin Peng; Kam-Fai Wong (ACL, 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)

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)

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)

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)

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)

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

Task-oriented Dialogue System for Automatic Disease Diagnosis via Hierarchical Reinforcement Learning. - Kangenbei Liao; Qianlong Liu; Zhongyu Wei; Baolin Peng; Qin Chen 001; Weijian Sun; Xuanjing Huang 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)

Meta Dialogue Policy Learning. - Yumo Xu; Chenguang Zhu 001; Baolin Peng; Michael Zeng 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)

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)

Engage the Public: Poll Question Generation for Social Media Posts. - Zexin Lu; Keyang Ding; Yuji Zhang 002; Jing Li 049; Baolin Peng; Lemao Liu (ACL/IJCNLP (1), 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)

SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues. - Liang Qiu 001; Yuan Liang 001; Yizhou Zhao; Pan Lu; Baolin Peng; Zhou Yu; Ying Nian Wu; Song-Chun Zhu (ACL/IJCNLP (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)

#HowYouTagTweets: Learning User Hashtagging Preferences via Personalized Topic Attention. - Yuji Zhang 002; Yubo Zhang; Chunpu Xu; Jing Li 049; Ziyan Jiang; Baolin Peng (EMNLP (1), 2021)

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

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)

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)

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)

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

Hierarchical reinforcement learning for automatic disease diagnosis. - Cheng Zhong; Kangenbei Liao; Wei Chen 088; Qianlong Liu; Baolin Peng; Xuanjing Huang 001; Jiajie Peng; Zhongyu Wei (Bioinform., 2022)

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

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)

Explanations from Large Language Models Make Small Reasoners Better. - Shiyang Li; Jianshu Chen; Yelong Shen; Zhiyu Chen 002; Xinlu Zhang; Zekun Li 008; Hong Wang 023; Jing Qian; Baolin Peng; Yi Mao; Wenhu Chen; Xifeng Yan (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)

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)

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)

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)

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

SGP-TOD: Building Task Bots Effortlessly via Schema-Guided LLM Prompting. - Xiaoying Zhang; Baolin Peng; Kun Li 003; Jingyan Zhou; Helen Meng (EMNLP (Findings), 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)

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)

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)

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

Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models. - Miaoran Li; Baolin Peng; Zhu Zhang (CoRR, 2023)

Do you really follow me? Adversarial Instructions for Evaluating the Robustness of Large Language Models. - Zekun Li 008; Baolin Peng; Pengcheng He; Xifeng Yan (CoRR, 2023)

Stabilizing RLHF through Advantage Model and Selective Rehearsal. - Baolin Peng; Linfeng Song; Ye Tian; Lifeng Jin; Haitao Mi; Dong Yu 001 (CoRR, 2023)

The Trickle-down Impact of Reward (In-)consistency on RLHF. - Lingfeng Shen; Sihao Chen; Linfeng Song; Lifeng Jin; Baolin Peng; Haitao Mi; Daniel Khashabi; Dong Yu 001 (CoRR, 2023)

Improving LLM Generations via Fine-Grained Self-Endorsement. - Ante Wang; Linfeng Song; Baolin Peng; Lifeng Jin; Ye Tian; Haitao Mi; Jinsong Su; Dong Yu 001 (ACL (Findings), 2024)

Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation. - Xiaoying Zhang; Baolin Peng; Ye Tian; Jingyan Zhou; Lifeng Jin; Linfeng Song; Haitao Mi; Helen Meng (ACL (1), 2024)

Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection. - Zekun Li 008; Baolin Peng; Pengcheng He; Xifeng Yan (EMNLP, 2024)

Self-Consistency Boosts Calibration for Math Reasoning. - Ante Wang; Linfeng Song; Ye Tian; Baolin Peng; Lifeng Jin; Haitao Mi; Jinsong Su; Dong Yu (EMNLP (Findings), 2024)

The Trickle-down Impact of Reward Inconsistency on RLHF. - Lingfeng Shen; Sihao Chen; Linfeng Song; Lifeng Jin; Baolin Peng; Haitao Mi; Daniel Khashabi; Dong Yu 001 (ICLR, 2024)

Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations. - Sihao Chen; Hongming Zhang 009; Tong Chen; Ben Zhou; Wenhao Yu 002; Dian Yu 001; Baolin Peng; Hongwei Wang 010; Dan Roth 001; Dong Yu 001 (NAACL-HLT, 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)

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)

Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing. - Ye Tian; Baolin Peng; Linfeng Song; Lifeng Jin; Dian Yu 001; Lei Han; Haitao Mi; Dong Yu 001 (NeurIPS, 2024)

Fine-Grained Self-Endorsement Improves Factuality and Reasoning. - Ante Wang; Linfeng Song; Baolin Peng; Ye Tian; Lifeng Jin; Haitao Mi; Jinsong Su; Dong Yu 001 (CoRR, 2024)

Collaborative decoding of critical tokens for boosting factuality of large language models. - Lifeng Jin; Baolin Peng; Linfeng Song; Haitao Mi; Ye Tian; Dong Yu 001 (CoRR, 2024)

Self-Consistency Boosts Calibration for Math Reasoning. - Ante Wang; Linfeng Song; Ye Tian; Baolin Peng; Lifeng Jin; Haitao Mi; Jinsong Su; Dong Yu 001 (CoRR, 2024)

Conceptual and Unbiased Reasoning in Language Models. - Ben Zhou; Hongming Zhang 009; Sihao Chen; Dian Yu 001; Hongwei Wang 010; Baolin Peng; Dan Roth 001; Dong Yu 001 (CoRR, 2024)

Entropy Guided Extrapolative Decoding to Improve Factuality in Large Language Models. - Souvik Das; Lifeng Jin; Linfeng Song; Haitao Mi; Baolin Peng; Dong Yu 001 (CoRR, 2024)

Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing. - Ye Tian; Baolin Peng; Linfeng Song; Lifeng Jin; Dian Yu 001; Haitao Mi; Dong Yu 001 (CoRR, 2024)

LiteSearch: Efficacious Tree Search for LLM. - Ante Wang; Linfeng Song; Ye Tian; Baolin Peng; Dian Yu 001; Haitao Mi; Jinsong Su; Dong Yu 001 (CoRR, 2024)

SIaM: Self-Improving Code-Assisted Mathematical Reasoning of Large Language Models. - Dian Yu 001; Baolin Peng; Ye Tian; Linfeng Song; Haitao Mi; Dong Yu 001 (CoRR, 2024)

Towards Self-Improvement of LLMs via MCTS: Leveraging Stepwise Knowledge with Curriculum Preference Learning. - Xiyao Wang; Linfeng Song; Ye Tian; Dian Yu 001; Baolin Peng; Haitao Mi; Furong Huang; Dong Yu 001 (CoRR, 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)

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

LiteSearch: Efficient Tree Search with Dynamic Exploration Budget for Math Reasoning. - Ante Wang; Linfeng Song; Ye Tian; Baolin Peng; Dian Yu 001; Haitao Mi; Jinsong Su; Dong Yu 001 (AAAI, 2025)

Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching. - Xiaoying Zhang; Baolin Peng; Ye Tian; Jingyan Zhou; Yipeng Zhang; Haitao Mi; Helen M. Meng (ACL (Findings), 2025)

Entropy Guided Extrapolative Decoding to Improve Factuality in Large Language Models. - Souvik Das; Lifeng Jin; Linfeng Song; Haitao Mi; Baolin Peng; Dong Yu (COLING, 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)

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)

Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning. - Yuheng Zhang; Dian Yu 001; Baolin Peng; Linfeng Song; Ye Tian; Mingyue Huo; Nan Jiang 008; Haitao Mi; Dong Yu 001 (ICLR, 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 the Emergence of Thinking in LLMs I: Searching for the Right Intuition. - Guanghao Ye; Khiem Duc Pham; Xinzhi Zhang 002; Sivakanth Gopi; Baolin Peng; Beibin Li; Janardhan Kulkarni; Huseyin A. Inan (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)

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)

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)