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2020 – today
- 2024
[j8]R. Chulaka Gunasekara
, Seokhwan Kim, Luis Fernando D'Haro, Abhinav Rastogi, Yun-Nung Chen, Mihail Eric, Behnam Hedayatnia, Karthik Gopalakrishnan, Yang Liu, Chao-Wei Huang, Dilek Hakkani-Tür, Jinchao Li, Qi Zhu, Lingxiao Luo, Lars Liden, Kaili Huang, Shahin Shayandeh, Runze Liang, Baolin Peng, Zheng Zhang, Swadheen Shukla, Minlie Huang, Jianfeng Gao, Shikib Mehri, Yulan Feng, Carla Gordon, Seyed Hossein Alavi, David R. Traum, Maxine Eskénazi, Ahmad Beirami, Eunjoon Cho, Paul A. Crook, Ankita De, Alborz Geramifard, Satwik Kottur, Seungwhan Moon, Shivani Poddar, Rajen Subba:
Overview of the Ninth Dialog System Technology Challenge: DSTC9. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4066-4076 (2024)- [c53]Xiaoying Zhang, Baolin Peng, Ye Tian, Jingyan Zhou, Lifeng Jin, Linfeng Song, Haitao Mi, Helen Meng:
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation. ACL (1) 2024: 1946-1965 - [c52]Ante Wang, Linfeng Song, Baolin Peng, Lifeng Jin, Ye Tian, Haitao Mi, Jinsong Su, Dong Yu:
Improving LLM Generations via Fine-Grained Self-Endorsement. ACL (Findings) 2024: 8424-8436 - [c51]Zekun Li, Baolin Peng, Pengcheng He, Xifeng Yan:
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection. EMNLP 2024: 557-568 - [c50]Ante Wang, Linfeng Song, Ye Tian, Baolin Peng, Lifeng Jin, Haitao Mi, Jinsong Su, Dong Yu:
Self-Consistency Boosts Calibration for Math Reasoning. EMNLP (Findings) 2024: 6023-6029 - [c49]Lingfeng Shen, Sihao Chen, Linfeng Song, Lifeng Jin, Baolin Peng, Haitao Mi, Daniel Khashabi, Dong Yu:
The Trickle-down Impact of Reward Inconsistency on RLHF. ICLR 2024 - [c48]Miaoran Li, Baolin Peng, Michel Galley, Jianfeng Gao, Zhu Zhang:
Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models. NAACL-HLT (Findings) 2024: 163-181 - [c47]Sihao Chen, Hongming Zhang, Tong Chen, Ben Zhou, Wenhao Yu, Dian Yu, Baolin Peng, Hongwei Wang, Dan Roth, Dong Yu:
Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations. NAACL-HLT 2024: 1596-1609 - [c46]Xiao Yu, Baolin Peng, Michel Galley, Jianfeng Gao, Zhou Yu:
Teaching Language Models to Self-Improve through Interactive Demonstrations. NAACL-HLT 2024: 5127-5149 - [i63]Xiaoying Zhang, Baolin Peng, Ye Tian, Jingyan Zhou, Lifeng Jin, Linfeng Song, Haitao Mi, Helen Meng:
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation. CoRR abs/2402.09267 (2024) - [i62]Ante Wang, Linfeng Song, Baolin Peng, Ye Tian, Lifeng Jin, Haitao Mi, Jinsong Su, Dong Yu:
Fine-Grained Self-Endorsement Improves Factuality and Reasoning. CoRR abs/2402.15631 (2024) - [i61]Lifeng Jin, Baolin Peng, Linfeng Song, Haitao Mi, Ye Tian, Dong Yu:
Collaborative decoding of critical tokens for boosting factuality of large language models. CoRR abs/2402.17982 (2024) - [i60]Ante Wang, Linfeng Song, Ye Tian, Baolin Peng, Lifeng Jin, Haitao Mi, Jinsong Su, Dong Yu:
Self-Consistency Boosts Calibration for Math Reasoning. CoRR abs/2403.09849 (2024) - [i59]Ben Zhou, Hongming Zhang, Sihao Chen, Dian Yu, Hongwei Wang, Baolin Peng, Dan Roth, Dong Yu:
Conceptual and Unbiased Reasoning in Language Models. CoRR abs/2404.00205 (2024) - [i58]Souvik Das, Lifeng Jin, Linfeng Song, Haitao Mi, Baolin Peng, Dong Yu:
Entropy Guided Extrapolative Decoding to Improve Factuality in Large Language Models. CoRR abs/2404.09338 (2024) - [i57]Ye Tian, Baolin Peng, Linfeng Song, Lifeng Jin, Dian Yu, Haitao Mi, Dong Yu:
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing. CoRR abs/2404.12253 (2024) - [i56]Xiaoying Zhang, Baolin Peng, Ye Tian, Jingyan Zhou, Yipeng Zhang, Haitao Mi, Helen Meng:
Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching. CoRR abs/2406.06326 (2024) - [i55]Ante Wang, Linfeng Song, Ye Tian, Baolin Peng, Dian Yu, Haitao Mi, Jinsong Su, Dong Yu:
LiteSearch: Efficacious Tree Search for LLM. CoRR abs/2407.00320 (2024) - [i54]Yuheng Zhang, Dian Yu, Baolin Peng, Linfeng Song, Ye Tian, Mingyue Huo, Nan Jiang, Haitao Mi, Dong Yu:
Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning. CoRR abs/2407.00617 (2024) - [i53]Dian Yu, Baolin Peng, Ye Tian, Linfeng Song, Haitao Mi, Dong Yu:
SIaM: Self-Improving Code-Assisted Mathematical Reasoning of Large Language Models. CoRR abs/2408.15565 (2024) - [i52]Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu:
ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning. CoRR abs/2410.02052 (2024) - 2023
- [c45]Yu Li, Baolin Peng, Pengcheng He, Michel Galley, Zhou Yu, Jianfeng Gao:
DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization. ACL (1) 2023: 1368-1386 - [c44]Pengcheng He, Baolin Peng, Song Wang, Yang Liu, Ruochen Xu, Hany Hassan, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang:
Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. ACL (1) 2023: 5095-5112 - [c43]Qi Zhu, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Baolin Peng, Zheng Zhang, Shutong Feng, Michael Heck, Nurul Lubis, Dazhen Wan, Xiaochen Zhu, Jianfeng Gao, Milica Gasic, Minlie Huang:
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format. EMNLP (Demos) 2023: 106-123 - [c42]Felix Faltings, Michel Galley, Kianté Brantley, Baolin Peng, Weixin Cai, Yizhe Zhang, Jianfeng Gao, Bill Dolan:
Interactive Text Generation. EMNLP 2023: 4450-4468 - [c41]Xiaoying Zhang, Baolin Peng, Kun Li, Jingyan Zhou, Helen Meng:
SGP-TOD: Building Task Bots Effortlessly via Schema-Guided LLM Prompting. EMNLP (Findings) 2023: 13348-13369 - [c40]Zekun Li, Baolin Peng, Pengcheng He, Michel Galley, Jianfeng Gao, Xifeng Yan:
Guiding Large Language Models via Directional Stimulus Prompting. NeurIPS 2023 - [c39]Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao:
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models. NeurIPS 2023 - [c38]Miaoran Li, Baolin Peng, Michel Galley, Jianfeng Gao, Zhu (Drew) Zhang:
Enhancing Task Bot Engagement with Synthesized Open-Domain Dialog. SIGDIAL 2023: 496-508 - [i51]Zekun Li, Baolin Peng, Pengcheng He, Michel Galley, Jianfeng Gao, Xifeng Yan:
Guiding Large Language Models via Directional Stimulus Prompting. CoRR abs/2302.11520 (2023) - [i50]Baolin Peng, Michel Galley, Pengcheng He, Hao Cheng, Yujia Xie, Yu Hu, Qiuyuan Huang, Lars Liden, Zhou Yu, Weizhu Chen, Jianfeng Gao:
Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback. CoRR abs/2302.12813 (2023) - [i49]Felix Faltings, Michel Galley, Baolin Peng, Kianté Brantley, Weixin Cai, Yizhe Zhang, Jianfeng Gao, Bill Dolan:
Interactive Text Generation. CoRR abs/2303.00908 (2023) - [i48]Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, Jianfeng Gao:
Instruction Tuning with GPT-4. CoRR abs/2304.03277 (2023) - [i47]Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao:
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models. CoRR abs/2304.09842 (2023) - [i46]Qiuyuan Huang, Jae Sung Park, Abhinav Gupta, Paul N. Bennett, Ran Gong, Subhojit Som, Baolin Peng, Owais Khan Mohammed, Chris Pal, Yejin Choi, Jianfeng Gao:
ArK: Augmented Reality with Knowledge Interactive Emergent Ability. CoRR abs/2305.00970 (2023) - [i45]Xiaoying Zhang, Baolin Peng, Kun Li, Jingyan Zhou, Helen Meng:
SGP-TOD: Building Task Bots Effortlessly via Schema-Guided LLM Prompting. CoRR abs/2305.09067 (2023) - [i44]Miaoran Li, Baolin Peng, Zhu Zhang:
Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models. CoRR abs/2305.14623 (2023) - [i43]Zekun Li, Baolin Peng, Pengcheng He, Xifeng Yan:
Do you really follow me? Adversarial Instructions for Evaluating the Robustness of Large Language Models. CoRR abs/2308.10819 (2023) - [i42]Baolin Peng, Linfeng Song, Ye Tian, Lifeng Jin, Haitao Mi, Dong Yu:
Stabilizing RLHF through Advantage Model and Selective Rehearsal. CoRR abs/2309.10202 (2023) - [i41]Lingfeng Shen, Sihao Chen, Linfeng Song, Lifeng Jin, Baolin Peng, Haitao Mi, Daniel Khashabi, Dong Yu:
The Trickle-down Impact of Reward (In-)consistency on RLHF. CoRR abs/2309.16155 (2023) - [i40]Xiao Yu, Baolin Peng, Michel Galley, Jianfeng Gao, Zhou Yu:
Teaching Language Models to Self-Improve through Interactive Demonstrations. CoRR abs/2310.13522 (2023) - [i39]Sihao Chen, Hongming Zhang, Tong Chen, Ben Zhou, Wenhao Yu, Dian Yu, Baolin Peng, Hongwei Wang, Dan Roth, Dong Yu:
Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations. CoRR abs/2311.04335 (2023) - 2022
- [j7]Cheng Zhong, Kangenbei Liao, Wei Chen, Qianlong Liu, Baolin Peng, Xuanjing Huang, Jiajie Peng, Zhongyu Wei:
Hierarchical reinforcement learning for automatic disease diagnosis. Bioinform. 38(16): 3995-4001 (2022) - [c37]Liang Qiu, Yizhou Zhao, Jinchao Li, Pan Lu, Baolin Peng, Jianfeng Gao, Song-Chun Zhu:
ValueNet: A New Dataset for Human Value Driven Dialogue System. AAAI 2022: 11183-11191 - [c36]Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao:
Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation. EMNLP (Findings) 2022: 7397-7413 - [c35]Yu Li, Baolin Peng, Yelong Shen, Yi Mao, Lars Liden, Zhou Yu, Jianfeng Gao:
Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation. NAACL-HLT 2022: 206-218 - [c34]Xiaoying Zhang, Baolin Peng, Jianfeng Gao, Helen Meng:
Toward Self-Learning End-to-End Task-oriented Dialog Systems. SIGDIAL 2022: 516-530 - [i38]Xiaoying Zhang, Baolin Peng, Jianfeng Gao, Helen Meng:
Toward Self-Learning End-to-End Dialog Systems. CoRR abs/2201.06849 (2022) - [i37]Baolin Peng, Michel Galley, Pengcheng He, Chris Brockett, Lars Liden, Elnaz Nouri, Zhou Yu, Bill Dolan, Jianfeng Gao:
GODEL: Large-Scale Pre-Training for Goal-Directed Dialog. CoRR abs/2206.11309 (2022) - [i36]Miaoran Li, Baolin Peng, Jianfeng Gao, Zhu Zhang:
OPERA: Harmonizing Task-Oriented Dialogs and Information Seeking Experience. CoRR abs/2206.12449 (2022) - [i35]Pengcheng He, Baolin Peng, Liyang Lu, Song Wang, Jie Mei, Yang Liu, Ruochen Xu, Hany Hassan Awadalla, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang:
Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. CoRR abs/2208.09770 (2022) - [i34]Shiyang Li, Jianshu Chen, Yelong Shen, Zhiyu Chen, Xinlu Zhang, Zekun Li, Hong Wang, Jing Qian, Baolin Peng, Yi Mao, Wenhu Chen, Xifeng Yan:
Explanations from Large Language Models Make Small Reasoners Better. CoRR abs/2210.06726 (2022) - [i33]Qi Zhu, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Baolin Peng, Zheng Zhang, Michael Heck, Nurul Lubis, Dazhen Wan, Xiaochen Zhu, Jianfeng Gao, Milica Gasic, Minlie Huang:
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format. CoRR abs/2211.17148 (2022) - [i32]Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao:
Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation. CoRR abs/2212.01956 (2022) - [i31]Miaoran Li, Baolin Peng, Michel Galley, Jianfeng Gao, Zhu Zhang:
Enhancing Task Bot Engagement with Synthesized Open-Domain Dialog. CoRR abs/2212.10008 (2022) - [i30]Yu Li, Baolin Peng, Pengcheng He, Michel Galley, Zhou Yu, Jianfeng Gao:
DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization. CoRR abs/2212.10018 (2022) - 2021
- [j6]Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, Jianfeng Gao:
SOLOIST: Building Task Bots at Scale with Transfer Learning and Machine Teaching. Trans. Assoc. Comput. Linguistics 9: 907-824 (2021) - [j5]Seokhwan Kim, Michel Galley, R. Chulaka Gunasekara, Sungjin Lee, Adam Atkinson, Baolin Peng, Hannes Schulz, Jianfeng Gao, Jinchao Li, Mahmoud Adada, Minlie Huang, Luis A. Lastras, Jonathan K. Kummerfeld, Walter S. Lasecki, Chiori Hori, Anoop Cherian, Tim K. Marks, Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta:
Overview of the Eighth Dialog System Technology Challenge: DSTC8. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2529-2540 (2021) - [c33]Zexin Lu, Keyang Ding, Yuji Zhang, Jing Li, Baolin Peng, Lemao Liu:
Engage the Public: Poll Question Generation for Social Media Posts. ACL/IJCNLP (1) 2021: 29-40 - [c32]Liang Qiu, Yuan Liang, Yizhou Zhao, Pan Lu, Baolin Peng, Zhou Yu, Ying Nian Wu, Song-Chun Zhu:
SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues. ACL/IJCNLP (1) 2021: 658-670 - [c31]Baolin Peng, Chunyuan Li, Zhu Zhang, Chenguang Zhu, Jinchao Li, Jianfeng Gao:
RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems. ACL/IJCNLP (1) 2021: 4418-4429 - [c30]Yuji Zhang, Yubo Zhang, Chunpu Xu, Jing Li, Ziyan Jiang, Baolin Peng:
#HowYouTagTweets: Learning User Hashtagging Preferences via Personalized Topic Attention. EMNLP (1) 2021: 7811-7820 - [c29]Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han:
Few-Shot Named Entity Recognition: An Empirical Baseline Study. EMNLP (1) 2021: 10408-10423 - [c28]Baolin Peng, Chenguang Zhu, Michael Zeng, Jianfeng Gao:
Data Augmentation for Spoken Language Understanding via Pretrained Language Models. Interspeech 2021: 1219-1223 - [i29]Liang Qiu, Yuan Liang, Yizhou Zhao, Pan Lu, Baolin Peng, Zhou Yu, Ying Nian Wu, Song-Chun Zhu:
SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues. CoRR abs/2106.01006 (2021) - [i28]Baolin Peng, Chunyuan Li, Zhu Zhang, Jinchao Li, Chenguang Zhu, Jianfeng Gao:
SYNERGY: Building Task Bots at Scale Using Symbolic Knowledge and Machine Teaching. CoRR abs/2110.11514 (2021) - [i27]Liang Qiu, Yizhou Zhao, Jinchao Li, Pan Lu, Baolin Peng, Jianfeng Gao, Song-Chun Zhu:
ValueNet: A New Dataset for Human Value Driven Dialogue System. CoRR abs/2112.06346 (2021) - [i26]Yu Li, Baolin Peng, Yelong Shen, Yi Mao, Lars Liden, Zhou Yu, Jianfeng Gao:
Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation. CoRR abs/2112.07924 (2021) - 2020
- [c27]Qi Zhu, Zheng Zhang, Yan Fang, Xiang Li, Ryuichi Takanobu, Jinchao Li, Baolin Peng, Jianfeng Gao, Xiaoyan Zhu, Minlie Huang:
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems. ACL (demo) 2020: 142-149 - [c26]Swadheen Shukla, Lars Liden, Shahin Shayandeh, Eslam Kamal, Jinchao Li, Matt Mazzola, Thomas Park, Baolin Peng, Jianfeng Gao:
Conversation Learner - A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems. ACL (demo) 2020: 343-349 - [c25]Huimin Wang, Baolin Peng, Kam-Fai Wong:
Learning Efficient Dialogue Policy from Demonstrations through Shaping. ACL 2020: 6355-6365 - [c24]Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao:
Few-shot Natural Language Generation for Task-Oriented Dialog. EMNLP (Findings) 2020: 172-182 - [c23]Ziming Li, Sungjin Lee, Baolin Peng, Jinchao Li, Julia Kiseleva, Maarten de Rijke, Shahin Shayandeh, Jianfeng Gao:
Guided Dialogue Policy Learning without Adversarial Learning in the Loop. EMNLP (Findings) 2020: 2308-2317 - [c22]Chunyuan Li, Xiang Gao, Yuan Li, Baolin Peng, Xiujun Li, Yizhe Zhang, Jianfeng Gao:
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space. EMNLP (1) 2020: 4678-4699 - [c21]Ryuichi Takanobu, Qi Zhu, Jinchao Li, Baolin Peng, Jianfeng Gao, Minlie Huang:
Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation. SIGdial 2020: 297-310 - [i25]Qi Zhu, Zheng Zhang, Yan Fang, Xiang Li, Ryuichi Takanobu, Jinchao Li, Baolin Peng, Jianfeng Gao, Xiaoyan Zhu, Minlie Huang:
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems. CoRR abs/2002.04793 (2020) - [i24]Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao:
Few-shot Natural Language Generation for Task-Oriented Dialog. CoRR abs/2002.12328 (2020) - [i23]Ziming Li, Sungjin Lee, Baolin Peng, Jinchao Li, Shahin Shayandeh, Jianfeng Gao:
Guided Dialog Policy Learning without Adversarial Learning in the Loop. CoRR abs/2004.03267 (2020) - [i22]Chunyuan Li, Xiang Gao, Yuan Li, Xiujun Li, Baolin Peng, Yizhe Zhang, Jianfeng Gao:
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space. CoRR abs/2004.04092 (2020) - [i21]Swadheen Shukla, Lars Liden, Shahin Shayandeh, Eslam Kamal, Jinchao Li, Matt Mazzola, Thomas Park, Baolin Peng, Jianfeng Gao:
Conversation Learner - A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems. CoRR abs/2004.04305 (2020) - [i20]Baolin Peng, Chenguang Zhu, Michael Zeng, Jianfeng Gao:
Data Augmentation for Spoken Language Understanding via Pretrained Models. CoRR abs/2004.13952 (2020) - [i19]Kangenbei Liao, Qianlong Liu, Zhongyu Wei, Baolin Peng, Qin Chen, Weijian Sun, Xuanjing Huang:
Task-oriented Dialogue System for Automatic Disease Diagnosis via Hierarchical Reinforcement Learning. CoRR abs/2004.14254 (2020) - [i18]Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, Jianfeng Gao:
SOLOIST: Few-shot Task-Oriented Dialog with A Single Pre-trained Auto-regressive Model. CoRR abs/2005.05298 (2020) - [i17]Ryuichi Takanobu, Qi Zhu, Jinchao Li, Baolin Peng, Jianfeng Gao, Minlie Huang:
Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation. CoRR abs/2005.07362 (2020) - [i16]Yumo Xu, Chenguang Zhu, Baolin Peng, Michael Zeng:
Meta Dialogue Policy Learning. CoRR abs/2006.02588 (2020) - [i15]Jianfeng Gao, Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, Heung-Yeung Shum:
Robust Conversational AI with Grounded Text Generation. CoRR abs/2009.03457 (2020) - [i14]R. Chulaka Gunasekara, Seokhwan Kim, Luis Fernando D'Haro, Abhinav Rastogi, Yun-Nung Chen, Mihail Eric, Behnam Hedayatnia, Karthik Gopalakrishnan, Yang Liu, Chao-Wei Huang, Dilek Hakkani-Tür, Jinchao Li, Qi Zhu, Lingxiao Luo, Lars Liden, Kaili Huang, Shahin Shayandeh, Runze Liang, Baolin Peng, Zheng Zhang, Swadheen Shukla, Minlie Huang, Jianfeng Gao, Shikib Mehri, Yulan Feng, Carla Gordon, Seyed Hossein Alavi, David R. Traum, Maxine Eskénazi, Ahmad Beirami, Eunjoon Cho, Paul A. Crook, Ankita De, Alborz Geramifard, Satwik Kottur, Seungwhan Moon, Shivani Poddar, Rajen Subba:
Overview of the Ninth Dialog System Technology Challenge: DSTC9. CoRR abs/2011.06486 (2020) - [i13]Chunyuan Li, Xiujun Li, Lei Zhang, Baolin Peng, Mingyuan Zhou, Jianfeng Gao:
Self-supervised Pre-training with Hard Examples Improves Visual Representations. CoRR abs/2012.13493 (2020) - [i12]Baolin Peng, Chunyuan Li, Zhu Zhang, Chenguang Zhu, Jinchao Li, Jianfeng Gao:
RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems. CoRR abs/2012.14666 (2020) - [i11]Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han:
Few-Shot Named Entity Recognition: A Comprehensive Study. CoRR abs/2012.14978 (2020)
2010 – 2019
- 2019
- [c20]Sungjin Lee, Qi Zhu, Ryuichi Takanobu, Zheng Zhang, Yaoqin Zhang, Xiang Li, Jinchao Li, Baolin Peng, Xiujun Li, Minlie Huang, Jianfeng Gao:
ConvLab: Multi-Domain End-to-End Dialog System Platform. ACL (3) 2019: 64-69 - [c19]Qianlong Liu, Baoliang Cui, Zhongyu Wei, Baolin Peng, Haikuan Huang, Hongbo Deng, Jianye Hao, Xuanjing Huang, Kam-Fai Wong:
Building Personalized Simulator for Interactive Search. IJCAI 2019: 5109-5115 - [i10]Sungjin Lee, Qi Zhu, Ryuichi Takanobu, Xiang Li, Yaoqin Zhang, Zheng Zhang, Jinchao Li, Baolin Peng, Xiujun Li, Minlie Huang, Jianfeng Gao:
ConvLab: Multi-Domain End-to-End Dialog System Platform. CoRR abs/1904.08637 (2019) - [i9]Seokhwan Kim, Michel Galley, R. Chulaka Gunasekara, Sungjin Lee, Adam Atkinson, Baolin Peng, Hannes Schulz, Jianfeng Gao, Jinchao Li, Mahmoud Adada, Minlie Huang, Luis A. Lastras, Jonathan K. Kummerfeld, Walter S. Lasecki, Chiori Hori, Anoop Cherian, Tim K. Marks, Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta:
The Eighth Dialog System Technology Challenge. CoRR abs/1911.06394 (2019) - 2018
- [c18]Zhongyu Wei, Qianlong Liu, Baolin Peng, Huaixiao Tou, Ting Chen, Xuanjing Huang, Kam-Fai Wong, Xiangying Dai:
Task-oriented Dialogue System for Automatic Diagnosis. ACL (2) 2018: 201-207 - [c17]Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Kam-Fai Wong:
Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning. ACL (1) 2018: 2182-2192 - [c16]Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Yun-Nung Chen, Kam-Fai Wong:
Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning. ICASSP 2018: 6149-6153 - [i8]Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Kam-Fai Wong:
Integrating planning for task-completion dialogue policy learning. CoRR abs/1801.06176 (2018) - 2017
- [c15]Yikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong:
Word Embedding Based Correlation Model for Question/Answer Matching. AAAI 2017: 3511-3517 - [c14]Baolin Peng, Michael L. Seltzer, Y. C. Ju, Geoffrey Zweig, Kam-Fai Wong:
May I take your order? A Neural Model for Extracting Structured Information from Conversations. EACL (1) 2017: 450-459 - [c13]Baolin Peng, Xiujun Li, Lihong Li, Jianfeng Gao, Asli Celikyilmaz, Sungjin Lee, Kam-Fai Wong:
Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning. EMNLP 2017: 2231-2240 - [i7]Baolin Peng, Xiujun Li, Lihong Li, Jianfeng Gao, Asli Celikyilmaz, Sungjin Lee, Kam-Fai Wong:
Composite Task-Completion Dialogue System via Hierarchical Deep Reinforcement Learning. CoRR abs/1704.03084 (2017) - [i6]Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Yun-Nung Chen, Kam-Fai Wong:
Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning. CoRR abs/1710.11277 (2017) - 2016
- [j4]Nan Jiang, Wenge Rong, Baolin Peng, Yifan Nie, Zhang Xiong:
Modeling Joint Representation with Tri-Modal Deep Belief Networks for Query and Question Matching. IEICE Trans. Inf. Syst. 99-D(4): 927-935 (2016) - [c12]Shichao Dong, Gabriel Pui Cheong Fung, Binyang Li, Baolin Peng, Ming Liao, Jia Zhu, Kam-Fai Wong:
ACE: Automatic Colloquialism, Typographical and Orthographic Errors Detection for Chinese Language. COLING (Demos) 2016: 194-197 - [i5]Kaisheng Yao, Baolin Peng, Geoffrey Zweig, Kam-Fai Wong:
An Attentional Neural Conversation Model with Improved Specificity. CoRR abs/1606.01292 (2016) - 2015
- [j3]Wenge Rong, Baolin Peng, Yuanxin Ouyang, Chao Li, Zhang Xiong:
Structural information aware deep semi-supervised recurrent neural network for sentiment analysis. Frontiers Comput. Sci. 9(2): 171-184 (2015) - [j2]Wenge Rong, Baolin Peng, Yuanxin Ouyang, Kecheng Liu, Zhang Xiong:
Collaborative personal profiling for web service ranking and recommendation. Inf. Syst. Frontiers 17(6): 1265-1282 (2015) - [c11]Baolin Peng, Jing Li, Junwen Chen, Xu Han, Ruifeng Xu, Kam-Fai Wong:
Trending Sentiment-Topic Detection on Twitter. CICLing (2) 2015: 66-77 - [c10]Jing Li, Wei Gao, Zhongyu Wei, Baolin Peng, Kam-Fai Wong:
Using Content-level Structures for Summarizing Microblog Repost Trees. EMNLP 2015: 2168-2178 - [c9]Yangyang Shi, Kaisheng Yao, Hu Chen, Yi-Cheng Pan, Mei-Yuh Hwang, Baolin Peng:
Contextual spoken language understanding using recurrent neural networks. ICASSP 2015: 5271-5275 - [c8]Yangyang Shi, Yi-Cheng Pan, Mei-Yuh Hwang, Kaisheng Yao, Hu Chen, Yuanhang Zou, Baolin Peng:
A factorization network based method for multi-lingual domain classification. ICASSP 2015: 5276-5280 - [c7]Nan Jiang, Wenge Rong, Baolin Peng, Yifan Nie, Zhang Xiong:
An empirical analysis of different sparse penalties for autoencoder in unsupervised feature learning. IJCNN 2015: 1-8 - [c6]Baolin Peng, Kaisheng Yao, Jing Li, Kam-Fai Wong:
Recurrent Neural Networks with External Memory for Spoken Language Understanding. NLPCC 2015: 25-35 - [i4]Baolin Peng, Kaisheng Yao:
Recurrent Neural Networks with External Memory for Language Understanding. CoRR abs/1506.00195 (2015) - [i3]Baolin Peng, Zhengdong Lu, Hang Li, Kam-Fai Wong:
Towards Neural Network-based Reasoning. CoRR abs/1508.05508 (2015) - [i2]Kaisheng Yao, Geoffrey Zweig, Baolin Peng:
Attention with Intention for a Neural Network Conversation Model. CoRR abs/1510.08565 (2015) - [i1]Yikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong:
Word Embedding based Correlation Model for Question/Answer Matching. CoRR abs/1511.04646 (2015) - 2014
- [j1]Wenge Rong, Yifan Nie, Yuanxin Ouyang, Baolin Peng, Zhang Xiong:
Auto-encoder based bagging architecture for sentiment analysis. J. Vis. Lang. Comput. 25(6): 840-849 (2014) - [c5]Wenge Rong, Yifan Nie, Yuanxin Ouyang, Baolin Peng, Zhang Xiong:
Auto-encoder Based Bagging Architecture for Sentiment Analysis. DMS 2014: 221-230 - [c4]Kaisheng Yao, Baolin Peng, Geoffrey Zweig, Dong Yu, Xiaolong Li, Feng Gao:
Recurrent conditional random field for language understanding. ICASSP 2014: 4077-4081 - [c3]Kaisheng Yao, Baolin Peng, Yu Zhang, Dong Yu, Geoffrey Zweig, Yangyang Shi:
Spoken language understanding using long short-term memory neural networks. SLT 2014: 189-194 - [c2]Baolin Peng, Wenge Rong, Yuanxin Ouyang, Chao Li, Zhang Xiong:
Learning joint representation for community question answering with tri-modal DBM. WWW (Companion Volume) 2014: 355-356 - 2013
- [c1]Wenge Rong, Baolin Peng, Yuanxin Ouyang, Chao Li, Zhang Xiong:
Semi-supervised Dual Recurrent Neural Network for Sentiment Analysis. DASC 2013: 438-445
Coauthor Index
[j8] [c48] [c46] [i52] [c45] [c44] [c43] [c42] [c40] [c39] [c38] [i51] [i50] [i49] [i48] [i47] [i46] [i40] [c37] [c36] [c35] [c34] [i38] [i37] [i36] [i35] [i33] [i32] [i31] [i30] [j6] [j5] [c31] [c29] [c28] [i28] [i27] [i26] [c27] [c26] [c24] [c23] [c22] [c21] [i25] [i24] [i23] [i22] [i21] [i20] [i18] [i17] [i15] [i14] [i13] [i12] [i11] [c20] [i10] [i9] [c17] [c16] [i8] [c13] [i7] [i6]
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