CollabLLM: From Passive Responders to Active Collaborators
Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, J. Leskovec, Jianfeng Gao
February 2025
Publications
Publications by Year
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ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu
MSR-TR-2024-63 | October 2024
Published by Microsoft
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MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chun-yue Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao
ICLR 2024 | October 2023
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao
NeurIPS 2023 | October 2023
Self-Verification Improves Few-Shot Clinical Information Extraction
Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
May 2023
Instruction Tuning with GPT-4
Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, Jianfeng Gao
MSR-TR-2023-35 | April 2023
Published by Microsoft
Project Page: https://instruction-tuning-with-gpt-4.github.io/
Check your facts and try again: Improving large language models with external knowledge and automated feedback
Baoling Peng, Michel Galley, Pengcheng He, Hao Cheng, Yujia Xie, Yu Hu, Qiuyuan Huang, Lars Liden, Zhou Yu, Weizhu Chen, Jianfeng Gao
MSR-TR-2023-46 | March 2023
Published by Microsoft
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GODEL: Large-Scale Pre-Training for Goal-Directed Dialog
Baolin Peng, Michel Galley, Pengcheng He, Chris Brockett, Lars Liden, Elnaz Nouri, Zhou Yu, Bill Dolan, Jianfeng Gao
May 2022
Probing Factually Grounded Content Transfer with Factual Ablation
Peter West, Chris Quirk, Michel Galley, Yejin Choi
ACL 2022 | May 2022
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RetGen: A Joint framework for Retrieval and Grounded Text Generation Modeling
Yizhe Zhang, Siqi Sun, Xiang Gao, Yuwei Fang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan
AAAI 2022 | December 2021
Ask what’s missing and what’s useful: Improving Clarification Question Generation using Global Knowledge
Bodhisattwa Prasad Majumder, Sudha Rao, Michel Galley, Julian J. McAuley
North American Chapter of the Association for Computational Linguistics: Human Language Technologies | June 2021
Automatic Document Sketching: Generating Drafts from Analogous Texts
Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Bill Dolan
ACL-IJCNLP 2021 | May 2021
Joint Retrieval and Generation Training for Grounded Text Generation
Yizhe Zhang, Siqi Sun, Xiang Gao, Yuwei Fang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan
May 2021
Text Editing by Command
Felix Faltings, Michel Galley, Gerold Hintz, Chris Brockett, Chris Quirk, Jianfeng Gao, Bill Dolan
NAACL | April 2021
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization
Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao
AAAI 2021 | April 2021
A Controllable Model of Grounded Response Generation
Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Xiang Gao, Chris Quirk, Rik Koncel-Kedziorski, Jianfeng Gao, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan
AAAI 2021 | January 2021
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Dialogue Response Ranking Training with Large-Scale Human Feedback Data
Xiang Gao, Yizhe Zhang, Michel Galley, Chris Brockett, Bill Dolan
EMNLP 2020 | September 2020
Overview of the seventh Dialog System Technology Challenge: DSTC7
Luis Fernando D’Haro, Koichiro Yoshino, Chiori Hori, Tim K. Marks, Lazaros Polymenakos, Jonathan K. Kummerfeld, Michel Galley, Xiang Gao
Computer Speech & Language | July 2020, Vol 62
MixingBoard: a Knowledgeable Stylized Integrated Text Generation Platform
Xiang Gao, Michel Galley, Bill Dolan
ACL 2020 | May 2020
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The Eighth Dialog System Technology Challenge
Seokhwan Kim, Michel Galley, Chulaka Gunasekara, Sungjin Lee, Adam Atkinson, Baolin Peng, Hannes Schulz, Jianfeng Gao, Jinchao Li, Mahmoud Adada, Minlie Huang, Luis Lastras, Jonathan K. Kummerfeld, Walter S. Lasecki, Chiori Hori, Anoop Cherian, Tim K. Marks, Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta
Third NeurIPS workshop on Conversational AI: “Today's Practice and Tomorrow's Potential” | December 2019
The Eighth Dialog System Technology Challenge
Seokhwan Kim, Michel Galley, Chulaka Gunasekara, Sungjin Lee, Adam Atkinson, Baolin Peng, Hannes Schulz, Jianfeng Gao, Jinchao Li, Mahmoud Adada, Minlie Huang, Luis Lastras, Jonathan K Kummerfeld, Walter S Lasecki, Chiori Hori, Anoop Cherian, Tim K Marks, Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta
The third Conversational AI workshop, NeurIPS | December 2019
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, JJ (Jingjing) Liu, Bill Dolan
arXiv:1911.00536 | November 2019
Structuring Latent Spaces for Stylized Response Generation
Xiang Gao, Yizhe Zhang, Sungjin Lee, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan
EMNLP-IJCNLP 2019 | September 2019
Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling
Vighnesh Leonardo Shiv, Chris Quirk, Anshuman Suri, Xiang Gao, Khuram Shahid, Nithya Govindarajan, Yizhe Zhang, Jianfeng Gao, Michel Galley, Chris Brockett, Tulasi Menon, Bill Dolan
Association for Computational Linguistics 2019 | July 2019
Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading
Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao
Proc. of ACL | June 2019
Neural Approaches to Conversational AI – Tutorial at ICML 2018
ICML 2019 Tutorial | June 2019
Towards Content Transfer through Grounded Text Generation
Shrimai Prabhumoye, Chris Quirk, Michel Galley
Proc. of NAACL | June 2019
Consistent Dialogue Generation with Self-supervised Feature Learning
Yizhe Zhang, Xiang Gao, Sungjin Lee, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan
preprint | March 2019
Jointly Optimizing Diversity and Relevance in Neural Response Generation
Xiang Gao, Sungjin Lee, Yizhe Zhang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan
NAACL-HLT 2019 | March 2019
Neural Approaches to Conversational AI
Jianfeng Gao, Michel Galley, Lihong Li
Foundations and Trends in Information Retrieval | February 2019
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Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
Yizhe Zhang, Michel Galley, Jianfeng Gao, Zhe Gan, Xiujun Li, Chris Brockett, Bill Dolan
NeurIPS 2018 | December 2018
Neural Approaches to Conversational AI – Tutorial at ACL/SIGIR 2018
Jianfeng Gao, Michel Galley, Lihong Li
ACL and SIGIR tutorial | July 2018
ACL and SIGIR tutorial
Emotional Dialogue Generation using Image-Grounded Language Models
Bernd Huber, Daniel McDuff, Chris Brockett, Michel Galley, Bill Dolan
CHI 2018, April 21–26, 2018, Montreal, QC, Canada | April 2018
ISBN: 978-1-4503-5620-6/18/04
A Knowledge-Grounded Neural Conversation Model
Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Scott Wen-tau Yih, Michel Galley
AAAI | February 2018
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The MSR-NLP System at Dialog System Technology Challenges 6
Michel Galley, Chris Brockett, Bill Dolan, Jianfeng Gao
Dialog System Technology Challenges (DSTC) | November 2017
Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation
Nasrin Mostafazadeh, Chris Brockett, Bill Dolan, Michel Galley, Jianfeng Gao, Georgios P. Spithourakis, Lucy Vanderwende
IJCNLP | November 2017
Multi-Task Learning of Speaker-Role-Based Neural Conversation Models
Yi Luan, Chris Brockett, Bill Dolan, Jianfeng Gao, Michel Galley
IJCNLP | November 2017
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Deep Reinforcement Learning for Dialogue Generation
Jiwei Li, Will Monroe, Alan Ritter, Michel Galley, Jianfeng Gao, Dan Jurafsky
Proc. of EMNLP | June 2016
Visual Storytelling
Ting-Hao (Kenneth) Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT), 2016 | June 2016
Website: www.sind.ai
A Persona-Based Neural Conversation Model
Jiwei Li, Michel Galley, Chris Brockett, Georgios P. Spithourakis, Jianfeng Gao, Bill Dolan
Proc. of ACL | June 2016
A Diversity-Promoting Objective Function for Neural Conversation Models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan
Proc. of NAACL-HLT | March 2016
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A Survey of Current Datasets for Vision and Language Research
Francis Ferraro, Nasrin Mostafazadeh, Ting-Hao (Kenneth) Huang, Lucy Vanderwende, Jacob Devlin, Michel Galley
Proc. of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP) | September 2015
Language To Code: Learning Semantic Parsers For If-This-Then-That Recipes
Chris Quirk, Raymond Mooney, Michel Galley
Proc. of ACL | August 2015
A Discriminative Model for Semantics-to-String Translation
Aleš Tamchyna, Chris Quirk, Michel Galley
Proc. of S2MT | July 2015
ˆ†BLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets
Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan
Proc. of ACL | July 2015
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Meg Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan
Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT) | June 2015
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Large-scale Expected BLEU Training of Phrase-based Reordering Models
Michael Auli, Michel Galley, Jianfeng Gao
Proc. of EMNLP | October 2014
See No Evil, Say No Evil: Description Generation from Densely Labeled Images
Mark Yatskar, Michel Galley, Lucy Vanderwende, Luke Zettlemoyer
Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014) | August 2014
AutoCaption: Automatic Caption Generation for Personal Photos
Krishnan Ramnath, Simon Baker, Lucy Vanderwende, Motaz El-Saban, Sudipta Sinha, Anitha Kannan, Michel Galley, Noran Hasan
IEEE Winter Conference on Applications of Computer Vision | March 2014
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Joint Language and Translation Modeling with Recurrent Neural Networks
Michael Auli, Michel Galley, Chris Quirk, Geoffrey Zweig
Proc. of EMNLP | October 2013
Regularized Minimum Error Rate Training
Michel Galley, Chris Quirk, Colin Cherry, Kristina Toutanova
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP), best paper finalist | October 2013
Best Paper Finalist
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Direct Error Rate Minimization for Statistical Machine Translation
Tagyoung Chung, Michel Galley
Proc. of the Seventh Workshop on Statistical Machine Translation (WMT) | June 2012
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Optimal Search for Minimum Error Rate Training
Proc. of Empirical Methods in Natural Language Processing (EMNLP) | July 2011
Best Paper Finalist
Why Initialization Matters for IBM Model 1: Multiple Optima and Non-Strict Convexity
Kristina Toutanova, Michel Galley
Proc. of the Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL) | June 2011
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Accurate Non-Hierarchical Phrase-Based Translation
Michel Galley, Christopher D. Manning
Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL), best paper finalist | June 2010
Improved Models of Distortion Cost for Statistical Machine Translation
Spence Green, Michel Galley, Christopher D. Manning
Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL) | June 2010
Phrasal: A Statistical Machine Translation Toolkit for Exploring New Model Features
Daniel Cer, Michel Galley, Daniel Jurafsky, Christopher D. Manning
Proc. of HLT-NAACL, Demonstration Session | June 2010
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Measuring Machine Translation Quality as Semantic Equivalence: A Metric Based on Entailment Features
Sebastian Pado, Daniel Cer, Michel Galley, Dan Jurafsky, Christopher D. Manning
Machine Translation | November 2009
Stanford University’s Arabic-to-English Statistical Machine Translation System for the 2009 NIST Evaluation
Michel Galley, Spence Green, Daniel Cer, Pi-Chuan Chang, Christopher D. Manning
The 2009 NIST Open Machine Translation Evaluation Meeting | September 2009
Quadratic-Time Dependency Parsing for Machine Translation
Michel Galley, Christopher D. Manning
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP (ACL-AFNLP) | August 2009
ISBN: 978-1-932432-46-6
Robust Machine Translation Evaluation with Entailment Features
Sebastian Pado, Michel Galley, Dan Jurafsky, Christopher D. Manning
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP (ACL-AFNLP) | August 2009
Machine Translation Evaluation with Textual Entailment Features
Sebastian Padó, Michel Galley, Daniel Jurafsky, Christopher D. Manning
Proceedings of the Fourth Workshop on Statistical Machine Translation (WMT) | March 2009
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A Phrase-Based Alignment Model for Natural Language Inference
Bill MacCartney, Michel Galley, Christopher D. Manning
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing (EMNLP) | October 2008
A Simple and Effective Hierarchical Phrase Reordering Model
Michel Galley, Christopher D. Manning
Proc. of the 2008 Conference on Empirical Methods in Natural Language Processing (EMNLP) | October 2008
Evaluating MT output with entailment technology
Sebastian Pado, Michel Galley, Dan Jurafsky, Chris Manning
AMTA workshop: Metrics MATR - Metrics for Machine Translation Challenge | August 2008
Stanford University’s Chinese-to-English Statistical Machine Translation System for the 2008 NIST Evaluation
Michel Galley, Pi-Chuan Chang, Daniel Cer, Jenny R. Finkel, Christopher D. Manning
The 2008 NIST Open Machine Translation Evaluation Meeting | March 2008
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Incorporating Discourse and Syntactic Dependencies into Probabilistic Models for Summarization of Multiparty Speech
August 2007
PhD Thesis: Columbia University (Ph.D. thesis) | August 2007
Lexicalized Markov Grammars for Sentence Compression
Michel Galley, Kathleen McKeown
Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL) | April 2007
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Automatic Summarization Of Conversational Multi-Party Speech
Proc. of AAAI | July 2006
A Skip-Chain Conditional Random Field for Ranking Meeting Utterances by Importance
Proc. of EMNLP | July 2006
Scalable Inference and Training of Context-Rich Syntactic Translation Models
Michel Galley, Jonathan Graehl, Kevin Knight, Daniel Marcu, Steve DeNeefe, Wei Wang, Ignacio Thayer
Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics (COLING-ACL) | July 2006
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From Text Summarization to Speech Summarization
Kathleen McKeown, Julia Hirschberg, Michel Galley, Sameer Maskey
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) | March 2005
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Identifying Agreement And Disagreement In Conversational Speech: Use Of Bayesian Networks To Model Pragmatic Dependencies
Michel Galley, Kathleen McKeown, Julia Hirschberg, Elizabeth Shriberg, Michel Galley
Proc. of ACL | July 2004
What’s in a translation rule?
Michel Galley, Mark Hopkins, Kevin Knight, Daniel Marcu
Proc. of HLT-NAACL | May 2004
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Improving Word Sense Disambiguation in Lexical Chaining
Michel Galley, Kathleen McKeown
Proceedings of 18th International Joint Conference on Artificial Intelligence (IJCAI) | August 2003
Discourse Segmentation of Multi-Party Conversation
Michel Galley, Kathleen McKeown, Eric Fosler-Lussier, Hongyan Jing
Proc. of ACL | July 2003
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Hybrid Natural Language Generation For Spoken Dialogue Systems
Michel Galley, Eric Fosler-Lussier, Alexandros Potamianos
Proceedings of the 7th European Conference on Speech Communication and Technology (EUROSPEECH–01) | September 2001
Proceedings of the 7th European Conference on Speech Communication and Technology (EUROSPEECH–01)
Publications by Research Area
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CollabLLM: From Passive Responders to Active Collaborators
Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, J. Leskovec, Jianfeng Gao
February 2025
ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu
MSR-TR-2024-63 | October 2024
Published by Microsoft
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chun-yue Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao
ICLR 2024 | October 2023
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao
NeurIPS 2023 | October 2023
Self-Verification Improves Few-Shot Clinical Information Extraction
Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
May 2023
Instruction Tuning with GPT-4
Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, Jianfeng Gao
MSR-TR-2023-35 | April 2023
Published by Microsoft
Project Page: https://instruction-tuning-with-gpt-4.github.io/
Check your facts and try again: Improving large language models with external knowledge and automated feedback
Baoling Peng, Michel Galley, Pengcheng He, Hao Cheng, Yujia Xie, Yu Hu, Qiuyuan Huang, Lars Liden, Zhou Yu, Weizhu Chen, Jianfeng Gao
MSR-TR-2023-46 | March 2023
Published by Microsoft
GODEL: Large-Scale Pre-Training for Goal-Directed Dialog
Baolin Peng, Michel Galley, Pengcheng He, Chris Brockett, Lars Liden, Elnaz Nouri, Zhou Yu, Bill Dolan, Jianfeng Gao
May 2022
RetGen: A Joint framework for Retrieval and Grounded Text Generation Modeling
Yizhe Zhang, Siqi Sun, Xiang Gao, Yuwei Fang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan
AAAI 2022 | December 2021
Joint Retrieval and Generation Training for Grounded Text Generation
Yizhe Zhang, Siqi Sun, Xiang Gao, Yuwei Fang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan
May 2021
Text Editing by Command
Felix Faltings, Michel Galley, Gerold Hintz, Chris Brockett, Chris Quirk, Jianfeng Gao, Bill Dolan
NAACL | April 2021
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization
Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao
AAAI 2021 | April 2021
A Controllable Model of Grounded Response Generation
Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Xiang Gao, Chris Quirk, Rik Koncel-Kedziorski, Jianfeng Gao, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan
AAAI 2021 | January 2021
Dialogue Response Ranking Training with Large-Scale Human Feedback Data
Xiang Gao, Yizhe Zhang, Michel Galley, Chris Brockett, Bill Dolan
EMNLP 2020 | September 2020
Overview of the seventh Dialog System Technology Challenge: DSTC7
Luis Fernando D’Haro, Koichiro Yoshino, Chiori Hori, Tim K. Marks, Lazaros Polymenakos, Jonathan K. Kummerfeld, Michel Galley, Xiang Gao
Computer Speech & Language | July 2020, Vol 62
MixingBoard: a Knowledgeable Stylized Integrated Text Generation Platform
Xiang Gao, Michel Galley, Bill Dolan
ACL 2020 | May 2020
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, JJ (Jingjing) Liu, Bill Dolan
arXiv:1911.00536 | November 2019
Structuring Latent Spaces for Stylized Response Generation
Xiang Gao, Yizhe Zhang, Sungjin Lee, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan
EMNLP-IJCNLP 2019 | September 2019
Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling
Vighnesh Leonardo Shiv, Chris Quirk, Anshuman Suri, Xiang Gao, Khuram Shahid, Nithya Govindarajan, Yizhe Zhang, Jianfeng Gao, Michel Galley, Chris Brockett, Tulasi Menon, Bill Dolan
Association for Computational Linguistics 2019 | July 2019
Consistent Dialogue Generation with Self-supervised Feature Learning
Yizhe Zhang, Xiang Gao, Sungjin Lee, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan
preprint | March 2019
Jointly Optimizing Diversity and Relevance in Neural Response Generation
Xiang Gao, Sungjin Lee, Yizhe Zhang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan
NAACL-HLT 2019 | March 2019
Neural Approaches to Conversational AI
Jianfeng Gao, Michel Galley, Lihong Li
Foundations and Trends in Information Retrieval | February 2019
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
Yizhe Zhang, Michel Galley, Jianfeng Gao, Zhe Gan, Xiujun Li, Chris Brockett, Bill Dolan
NeurIPS 2018 | December 2018
Neural Approaches to Conversational AI – Tutorial at ACL/SIGIR 2018
Jianfeng Gao, Michel Galley, Lihong Li
ACL and SIGIR tutorial | July 2018
ACL and SIGIR tutorial
The MSR-NLP System at Dialog System Technology Challenges 6
Michel Galley, Chris Brockett, Bill Dolan, Jianfeng Gao
Dialog System Technology Challenges (DSTC) | November 2017
Deep Reinforcement Learning for Dialogue Generation
Jiwei Li, Will Monroe, Alan Ritter, Michel Galley, Jianfeng Gao, Dan Jurafsky
Proc. of EMNLP | June 2016
Visual Storytelling
Ting-Hao (Kenneth) Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT), 2016 | June 2016
Website: www.sind.ai
A Persona-Based Neural Conversation Model
Jiwei Li, Michel Galley, Chris Brockett, Georgios P. Spithourakis, Jianfeng Gao, Bill Dolan
Proc. of ACL | June 2016
A Diversity-Promoting Objective Function for Neural Conversation Models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan
Proc. of NAACL-HLT | March 2016
A Survey of Current Datasets for Vision and Language Research
Francis Ferraro, Nasrin Mostafazadeh, Ting-Hao (Kenneth) Huang, Lucy Vanderwende, Jacob Devlin, Michel Galley
Proc. of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP) | September 2015
Language To Code: Learning Semantic Parsers For If-This-Then-That Recipes
Chris Quirk, Raymond Mooney, Michel Galley
Proc. of ACL | August 2015
A Discriminative Model for Semantics-to-String Translation
Aleš Tamchyna, Chris Quirk, Michel Galley
Proc. of S2MT | July 2015
ˆ†BLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets
Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan
Proc. of ACL | July 2015
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Meg Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan
Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT) | June 2015
Large-scale Expected BLEU Training of Phrase-based Reordering Models
Michael Auli, Michel Galley, Jianfeng Gao
Proc. of EMNLP | October 2014
See No Evil, Say No Evil: Description Generation from Densely Labeled Images
Mark Yatskar, Michel Galley, Lucy Vanderwende, Luke Zettlemoyer
Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014) | August 2014
Joint Language and Translation Modeling with Recurrent Neural Networks
Michael Auli, Michel Galley, Chris Quirk, Geoffrey Zweig
Proc. of EMNLP | October 2013
Measuring Machine Translation Quality as Semantic Equivalence: A Metric Based on Entailment Features
Sebastian Pado, Daniel Cer, Michel Galley, Dan Jurafsky, Christopher D. Manning
Machine Translation | November 2009
Stanford University’s Arabic-to-English Statistical Machine Translation System for the 2009 NIST Evaluation
Michel Galley, Spence Green, Daniel Cer, Pi-Chuan Chang, Christopher D. Manning
The 2009 NIST Open Machine Translation Evaluation Meeting | September 2009
Robust Machine Translation Evaluation with Entailment Features
Sebastian Pado, Michel Galley, Dan Jurafsky, Christopher D. Manning
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP (ACL-AFNLP) | August 2009
Quadratic-Time Dependency Parsing for Machine Translation
Michel Galley, Christopher D. Manning
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP (ACL-AFNLP) | August 2009
ISBN: 978-1-932432-46-6
Machine Translation Evaluation with Textual Entailment Features
Sebastian Padó, Michel Galley, Daniel Jurafsky, Christopher D. Manning
Proceedings of the Fourth Workshop on Statistical Machine Translation (WMT) | March 2009
A Phrase-Based Alignment Model for Natural Language Inference
Bill MacCartney, Michel Galley, Christopher D. Manning
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing (EMNLP) | October 2008
A Simple and Effective Hierarchical Phrase Reordering Model
Michel Galley, Christopher D. Manning
Proc. of the 2008 Conference on Empirical Methods in Natural Language Processing (EMNLP) | October 2008
Evaluating MT output with entailment technology
Sebastian Pado, Michel Galley, Dan Jurafsky, Chris Manning
AMTA workshop: Metrics MATR - Metrics for Machine Translation Challenge | August 2008
Stanford University’s Chinese-to-English Statistical Machine Translation System for the 2008 NIST Evaluation
Michel Galley, Pi-Chuan Chang, Daniel Cer, Jenny R. Finkel, Christopher D. Manning
The 2008 NIST Open Machine Translation Evaluation Meeting | March 2008
Incorporating Discourse and Syntactic Dependencies into Probabilistic Models for Summarization of Multiparty Speech
August 2007
PhD Thesis: Columbia University (Ph.D. thesis) | August 2007
Lexicalized Markov Grammars for Sentence Compression
Michel Galley, Kathleen McKeown
Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL) | April 2007
A Skip-Chain Conditional Random Field for Ranking Meeting Utterances by Importance
Proc. of EMNLP | July 2006
From Text Summarization to Speech Summarization
Kathleen McKeown, Julia Hirschberg, Michel Galley, Sameer Maskey
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) | March 2005
Identifying Agreement And Disagreement In Conversational Speech: Use Of Bayesian Networks To Model Pragmatic Dependencies
Michel Galley, Kathleen McKeown, Julia Hirschberg, Elizabeth Shriberg, Michel Galley
Proc. of ACL | July 2004
What’s in a translation rule?
Michel Galley, Mark Hopkins, Kevin Knight, Daniel Marcu
Proc. of HLT-NAACL | May 2004
Improving Word Sense Disambiguation in Lexical Chaining
Michel Galley, Kathleen McKeown
Proceedings of 18th International Joint Conference on Artificial Intelligence (IJCAI) | August 2003
Discourse Segmentation of Multi-Party Conversation
Michel Galley, Kathleen McKeown, Eric Fosler-Lussier, Hongyan Jing
Proc. of ACL | July 2003
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CollabLLM: From Passive Responders to Active Collaborators
Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, J. Leskovec, Jianfeng Gao
February 2025
ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu
MSR-TR-2024-63 | October 2024
Published by Microsoft
Check your facts and try again: Improving large language models with external knowledge and automated feedback
Baoling Peng, Michel Galley, Pengcheng He, Hao Cheng, Yujia Xie, Yu Hu, Qiuyuan Huang, Lars Liden, Zhou Yu, Weizhu Chen, Jianfeng Gao
MSR-TR-2023-46 | March 2023
Published by Microsoft
GODEL: Large-Scale Pre-Training for Goal-Directed Dialog
Baolin Peng, Michel Galley, Pengcheng He, Chris Brockett, Lars Liden, Elnaz Nouri, Zhou Yu, Bill Dolan, Jianfeng Gao
May 2022
Probing Factually Grounded Content Transfer with Factual Ablation
Peter West, Chris Quirk, Michel Galley, Yejin Choi
ACL 2022 | May 2022
Ask what’s missing and what’s useful: Improving Clarification Question Generation using Global Knowledge
Bodhisattwa Prasad Majumder, Sudha Rao, Michel Galley, Julian J. McAuley
North American Chapter of the Association for Computational Linguistics: Human Language Technologies | June 2021
Automatic Document Sketching: Generating Drafts from Analogous Texts
Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Bill Dolan
ACL-IJCNLP 2021 | May 2021
Text Editing by Command
Felix Faltings, Michel Galley, Gerold Hintz, Chris Brockett, Chris Quirk, Jianfeng Gao, Bill Dolan
NAACL | April 2021
A Controllable Model of Grounded Response Generation
Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Xiang Gao, Chris Quirk, Rik Koncel-Kedziorski, Jianfeng Gao, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan
AAAI 2021 | January 2021
Dialogue Response Ranking Training with Large-Scale Human Feedback Data
Xiang Gao, Yizhe Zhang, Michel Galley, Chris Brockett, Bill Dolan
EMNLP 2020 | September 2020
Overview of the seventh Dialog System Technology Challenge: DSTC7
Luis Fernando D’Haro, Koichiro Yoshino, Chiori Hori, Tim K. Marks, Lazaros Polymenakos, Jonathan K. Kummerfeld, Michel Galley, Xiang Gao
Computer Speech & Language | July 2020, Vol 62
MixingBoard: a Knowledgeable Stylized Integrated Text Generation Platform
Xiang Gao, Michel Galley, Bill Dolan
ACL 2020 | May 2020
The Eighth Dialog System Technology Challenge
Seokhwan Kim, Michel Galley, Chulaka Gunasekara, Sungjin Lee, Adam Atkinson, Baolin Peng, Hannes Schulz, Jianfeng Gao, Jinchao Li, Mahmoud Adada, Minlie Huang, Luis Lastras, Jonathan K. Kummerfeld, Walter S. Lasecki, Chiori Hori, Anoop Cherian, Tim K. Marks, Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta
Third NeurIPS workshop on Conversational AI: “Today's Practice and Tomorrow's Potential” | December 2019
The Eighth Dialog System Technology Challenge
Seokhwan Kim, Michel Galley, Chulaka Gunasekara, Sungjin Lee, Adam Atkinson, Baolin Peng, Hannes Schulz, Jianfeng Gao, Jinchao Li, Mahmoud Adada, Minlie Huang, Luis Lastras, Jonathan K Kummerfeld, Walter S Lasecki, Chiori Hori, Anoop Cherian, Tim K Marks, Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta
The third Conversational AI workshop, NeurIPS | December 2019
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, JJ (Jingjing) Liu, Bill Dolan
arXiv:1911.00536 | November 2019
Structuring Latent Spaces for Stylized Response Generation
Xiang Gao, Yizhe Zhang, Sungjin Lee, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan
EMNLP-IJCNLP 2019 | September 2019
Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling
Vighnesh Leonardo Shiv, Chris Quirk, Anshuman Suri, Xiang Gao, Khuram Shahid, Nithya Govindarajan, Yizhe Zhang, Jianfeng Gao, Michel Galley, Chris Brockett, Tulasi Menon, Bill Dolan
Association for Computational Linguistics 2019 | July 2019
Neural Approaches to Conversational AI – Tutorial at ICML 2018
ICML 2019 Tutorial | June 2019
Towards Content Transfer through Grounded Text Generation
Shrimai Prabhumoye, Chris Quirk, Michel Galley
Proc. of NAACL | June 2019
Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading
Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao
Proc. of ACL | June 2019
Consistent Dialogue Generation with Self-supervised Feature Learning
Yizhe Zhang, Xiang Gao, Sungjin Lee, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan
preprint | March 2019
Jointly Optimizing Diversity and Relevance in Neural Response Generation
Xiang Gao, Sungjin Lee, Yizhe Zhang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan
NAACL-HLT 2019 | March 2019
Emotional Dialogue Generation using Image-Grounded Language Models
Bernd Huber, Daniel McDuff, Chris Brockett, Michel Galley, Bill Dolan
CHI 2018, April 21–26, 2018, Montreal, QC, Canada | April 2018
ISBN: 978-1-4503-5620-6/18/04
A Knowledge-Grounded Neural Conversation Model
Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Scott Wen-tau Yih, Michel Galley
AAAI | February 2018
The MSR-NLP System at Dialog System Technology Challenges 6
Michel Galley, Chris Brockett, Bill Dolan, Jianfeng Gao
Dialog System Technology Challenges (DSTC) | November 2017
Multi-Task Learning of Speaker-Role-Based Neural Conversation Models
Yi Luan, Chris Brockett, Bill Dolan, Jianfeng Gao, Michel Galley
IJCNLP | November 2017
Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation
Nasrin Mostafazadeh, Chris Brockett, Bill Dolan, Michel Galley, Jianfeng Gao, Georgios P. Spithourakis, Lucy Vanderwende
IJCNLP | November 2017
Deep Reinforcement Learning for Dialogue Generation
Jiwei Li, Will Monroe, Alan Ritter, Michel Galley, Jianfeng Gao, Dan Jurafsky
Proc. of EMNLP | June 2016
Visual Storytelling
Ting-Hao (Kenneth) Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT), 2016 | June 2016
Website: www.sind.ai
A Persona-Based Neural Conversation Model
Jiwei Li, Michel Galley, Chris Brockett, Georgios P. Spithourakis, Jianfeng Gao, Bill Dolan
Proc. of ACL | June 2016
A Diversity-Promoting Objective Function for Neural Conversation Models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan
Proc. of NAACL-HLT | March 2016
A Survey of Current Datasets for Vision and Language Research
Francis Ferraro, Nasrin Mostafazadeh, Ting-Hao (Kenneth) Huang, Lucy Vanderwende, Jacob Devlin, Michel Galley
Proc. of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP) | September 2015
Language To Code: Learning Semantic Parsers For If-This-Then-That Recipes
Chris Quirk, Raymond Mooney, Michel Galley
Proc. of ACL | August 2015
A Discriminative Model for Semantics-to-String Translation
Aleš Tamchyna, Chris Quirk, Michel Galley
Proc. of S2MT | July 2015
ˆ†BLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets
Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan
Proc. of ACL | July 2015
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Meg Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan
Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT) | June 2015
See No Evil, Say No Evil: Description Generation from Densely Labeled Images
Mark Yatskar, Michel Galley, Lucy Vanderwende, Luke Zettlemoyer
Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014) | August 2014
Joint Language and Translation Modeling with Recurrent Neural Networks
Michael Auli, Michel Galley, Chris Quirk, Geoffrey Zweig
Proc. of EMNLP | October 2013
Regularized Minimum Error Rate Training
Michel Galley, Chris Quirk, Colin Cherry, Kristina Toutanova
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP), best paper finalist | October 2013
Best Paper Finalist
Direct Error Rate Minimization for Statistical Machine Translation
Tagyoung Chung, Michel Galley
Proc. of the Seventh Workshop on Statistical Machine Translation (WMT) | June 2012
Optimal Search for Minimum Error Rate Training
Proc. of Empirical Methods in Natural Language Processing (EMNLP) | July 2011
Best Paper Finalist
Stanford University’s Arabic-to-English Statistical Machine Translation System for the 2009 NIST Evaluation
Michel Galley, Spence Green, Daniel Cer, Pi-Chuan Chang, Christopher D. Manning
The 2009 NIST Open Machine Translation Evaluation Meeting | September 2009
Robust Machine Translation Evaluation with Entailment Features
Sebastian Pado, Michel Galley, Dan Jurafsky, Christopher D. Manning
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP (ACL-AFNLP) | August 2009
Quadratic-Time Dependency Parsing for Machine Translation
Michel Galley, Christopher D. Manning
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP (ACL-AFNLP) | August 2009
ISBN: 978-1-932432-46-6
Machine Translation Evaluation with Textual Entailment Features
Sebastian Padó, Michel Galley, Daniel Jurafsky, Christopher D. Manning
Proceedings of the Fourth Workshop on Statistical Machine Translation (WMT) | March 2009
A Phrase-Based Alignment Model for Natural Language Inference
Bill MacCartney, Michel Galley, Christopher D. Manning
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing (EMNLP) | October 2008
A Simple and Effective Hierarchical Phrase Reordering Model
Michel Galley, Christopher D. Manning
Proc. of the 2008 Conference on Empirical Methods in Natural Language Processing (EMNLP) | October 2008
Evaluating MT output with entailment technology
Sebastian Pado, Michel Galley, Dan Jurafsky, Chris Manning
AMTA workshop: Metrics MATR - Metrics for Machine Translation Challenge | August 2008
Stanford University’s Chinese-to-English Statistical Machine Translation System for the 2008 NIST Evaluation
Michel Galley, Pi-Chuan Chang, Daniel Cer, Jenny R. Finkel, Christopher D. Manning
The 2008 NIST Open Machine Translation Evaluation Meeting | March 2008
Incorporating Discourse and Syntactic Dependencies into Probabilistic Models for Summarization of Multiparty Speech
August 2007
PhD Thesis: Columbia University (Ph.D. thesis) | August 2007
Lexicalized Markov Grammars for Sentence Compression
Michel Galley, Kathleen McKeown
Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL) | April 2007
Automatic Summarization Of Conversational Multi-Party Speech
Proc. of AAAI | July 2006
Scalable Inference and Training of Context-Rich Syntactic Translation Models
Michel Galley, Jonathan Graehl, Kevin Knight, Daniel Marcu, Steve DeNeefe, Wei Wang, Ignacio Thayer
Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics (COLING-ACL) | July 2006
A Skip-Chain Conditional Random Field for Ranking Meeting Utterances by Importance
Proc. of EMNLP | July 2006
From Text Summarization to Speech Summarization
Kathleen McKeown, Julia Hirschberg, Michel Galley, Sameer Maskey
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) | March 2005
What’s in a translation rule?
Michel Galley, Mark Hopkins, Kevin Knight, Daniel Marcu
Proc. of HLT-NAACL | May 2004
Improving Word Sense Disambiguation in Lexical Chaining
Michel Galley, Kathleen McKeown
Proceedings of 18th International Joint Conference on Artificial Intelligence (IJCAI) | August 2003
Discourse Segmentation of Multi-Party Conversation
Michel Galley, Kathleen McKeown, Eric Fosler-Lussier, Hongyan Jing
Proc. of ACL | July 2003
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CollabLLM: From Passive Responders to Active Collaborators
Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, J. Leskovec, Jianfeng Gao
February 2025
ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu
MSR-TR-2024-63 | October 2024
Published by Microsoft
Check your facts and try again: Improving large language models with external knowledge and automated feedback
Baoling Peng, Michel Galley, Pengcheng He, Hao Cheng, Yujia Xie, Yu Hu, Qiuyuan Huang, Lars Liden, Zhou Yu, Weizhu Chen, Jianfeng Gao
MSR-TR-2023-46 | March 2023
Published by Microsoft
Dialogue Response Ranking Training with Large-Scale Human Feedback Data
Xiang Gao, Yizhe Zhang, Michel Galley, Chris Brockett, Bill Dolan
EMNLP 2020 | September 2020
Structuring Latent Spaces for Stylized Response Generation
Xiang Gao, Yizhe Zhang, Sungjin Lee, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan
EMNLP-IJCNLP 2019 | September 2019
Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling
Vighnesh Leonardo Shiv, Chris Quirk, Anshuman Suri, Xiang Gao, Khuram Shahid, Nithya Govindarajan, Yizhe Zhang, Jianfeng Gao, Michel Galley, Chris Brockett, Tulasi Menon, Bill Dolan
Association for Computational Linguistics 2019 | July 2019
Consistent Dialogue Generation with Self-supervised Feature Learning
Yizhe Zhang, Xiang Gao, Sungjin Lee, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan
preprint | March 2019
Jointly Optimizing Diversity and Relevance in Neural Response Generation
Xiang Gao, Sungjin Lee, Yizhe Zhang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan
NAACL-HLT 2019 | March 2019
Emotional Dialogue Generation using Image-Grounded Language Models
Bernd Huber, Daniel McDuff, Chris Brockett, Michel Galley, Bill Dolan
CHI 2018, April 21–26, 2018, Montreal, QC, Canada | April 2018
ISBN: 978-1-4503-5620-6/18/04
Large-scale Expected BLEU Training of Phrase-based Reordering Models
Michael Auli, Michel Galley, Jianfeng Gao
Proc. of EMNLP | October 2014
Joint Language and Translation Modeling with Recurrent Neural Networks
Michael Auli, Michel Galley, Chris Quirk, Geoffrey Zweig
Proc. of EMNLP | October 2013
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Instruction Tuning with GPT-4
Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, Jianfeng Gao
MSR-TR-2023-35 | April 2023
Published by Microsoft
Project Page: https://instruction-tuning-with-gpt-4.github.io/
Emotional Dialogue Generation using Image-Grounded Language Models
Bernd Huber, Daniel McDuff, Chris Brockett, Michel Galley, Bill Dolan
CHI 2018, April 21–26, 2018, Montreal, QC, Canada | April 2018
ISBN: 978-1-4503-5620-6/18/04
Visual Storytelling
Ting-Hao (Kenneth) Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT), 2016 | June 2016
Website: www.sind.ai
See No Evil, Say No Evil: Description Generation from Densely Labeled Images
Mark Yatskar, Michel Galley, Lucy Vanderwende, Luke Zettlemoyer
Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014) | August 2014
AutoCaption: Automatic Caption Generation for Personal Photos
Krishnan Ramnath, Simon Baker, Lucy Vanderwende, Motaz El-Saban, Sudipta Sinha, Anitha Kannan, Michel Galley, Noran Hasan
IEEE Winter Conference on Applications of Computer Vision | March 2014
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Hybrid Natural Language Generation For Spoken Dialogue Systems
Michel Galley, Eric Fosler-Lussier, Alexandros Potamianos
Proceedings of the 7th European Conference on Speech Communication and Technology (EUROSPEECH–01) | September 2001
Proceedings of the 7th European Conference on Speech Communication and Technology (EUROSPEECH–01)
Emotional Dialogue Generation using Image-Grounded Language Models
Bernd Huber, Daniel McDuff, Chris Brockett, Michel Galley, Bill Dolan
CHI 2018, April 21–26, 2018, Montreal, QC, Canada | April 2018
ISBN: 978-1-4503-5620-6/18/04
Optimal Search for Minimum Error Rate Training
Proc. of Empirical Methods in Natural Language Processing (EMNLP) | July 2011
Best Paper Finalist
-
Emotional Dialogue Generation using Image-Grounded Language Models
Bernd Huber, Daniel McDuff, Chris Brockett, Michel Galley, Bill Dolan
CHI 2018, April 21–26, 2018, Montreal, QC, Canada | April 2018
ISBN: 978-1-4503-5620-6/18/04
-
Emotional Dialogue Generation using Image-Grounded Language Models
Bernd Huber, Daniel McDuff, Chris Brockett, Michel Galley, Bill Dolan
CHI 2018, April 21–26, 2018, Montreal, QC, Canada | April 2018
ISBN: 978-1-4503-5620-6/18/04
A Persona-Based Neural Conversation Model
Jiwei Li, Michel Galley, Chris Brockett, Georgios P. Spithourakis, Jianfeng Gao, Bill Dolan
Proc. of ACL | June 2016
-
Why Initialization Matters for IBM Model 1: Multiple Optima and Non-Strict Convexity
Kristina Toutanova, Michel Galley
Proc. of the Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL) | June 2011
Improved Models of Distortion Cost for Statistical Machine Translation
Spence Green, Michel Galley, Christopher D. Manning
Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL) | June 2010
Phrasal: A Statistical Machine Translation Toolkit for Exploring New Model Features
Daniel Cer, Michel Galley, Daniel Jurafsky, Christopher D. Manning
Proc. of HLT-NAACL, Demonstration Session | June 2010
Accurate Non-Hierarchical Phrase-Based Translation
Michel Galley, Christopher D. Manning
Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL), best paper finalist | June 2010
Publications by Type
-
CollabLLM: From Passive Responders to Active Collaborators
Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, J. Leskovec, Jianfeng Gao
February 2025
Self-Verification Improves Few-Shot Clinical Information Extraction
Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
May 2023
GODEL: Large-Scale Pre-Training for Goal-Directed Dialog
Baolin Peng, Michel Galley, Pengcheng He, Chris Brockett, Lars Liden, Elnaz Nouri, Zhou Yu, Bill Dolan, Jianfeng Gao
May 2022
-
ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu
MSR-TR-2024-63 | October 2024
Published by Microsoft
Instruction Tuning with GPT-4
Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, Jianfeng Gao
MSR-TR-2023-35 | April 2023
Published by Microsoft
Project Page: https://instruction-tuning-with-gpt-4.github.io/
Check your facts and try again: Improving large language models with external knowledge and automated feedback
Baoling Peng, Michel Galley, Pengcheng He, Hao Cheng, Yujia Xie, Yu Hu, Qiuyuan Huang, Lars Liden, Zhou Yu, Weizhu Chen, Jianfeng Gao
MSR-TR-2023-46 | March 2023
Published by Microsoft
-
Hybrid Natural Language Generation For Spoken Dialogue Systems
Michel Galley, Eric Fosler-Lussier, Alexandros Potamianos
Proceedings of the 7th European Conference on Speech Communication and Technology (EUROSPEECH–01) | September 2001
Proceedings of the 7th European Conference on Speech Communication and Technology (EUROSPEECH–01)
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chun-yue Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao
ICLR 2024 | October 2023
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao
NeurIPS 2023 | October 2023
Probing Factually Grounded Content Transfer with Factual Ablation
Peter West, Chris Quirk, Michel Galley, Yejin Choi
ACL 2022 | May 2022
RetGen: A Joint framework for Retrieval and Grounded Text Generation Modeling
Yizhe Zhang, Siqi Sun, Xiang Gao, Yuwei Fang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan
AAAI 2022 | December 2021
Ask what’s missing and what’s useful: Improving Clarification Question Generation using Global Knowledge
Bodhisattwa Prasad Majumder, Sudha Rao, Michel Galley, Julian J. McAuley
North American Chapter of the Association for Computational Linguistics: Human Language Technologies | June 2021
Automatic Document Sketching: Generating Drafts from Analogous Texts
Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Bill Dolan
ACL-IJCNLP 2021 | May 2021
Text Editing by Command
Felix Faltings, Michel Galley, Gerold Hintz, Chris Brockett, Chris Quirk, Jianfeng Gao, Bill Dolan
NAACL | April 2021
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization
Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao
AAAI 2021 | April 2021
A Controllable Model of Grounded Response Generation
Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Xiang Gao, Chris Quirk, Rik Koncel-Kedziorski, Jianfeng Gao, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan
AAAI 2021 | January 2021
Dialogue Response Ranking Training with Large-Scale Human Feedback Data
Xiang Gao, Yizhe Zhang, Michel Galley, Chris Brockett, Bill Dolan
EMNLP 2020 | September 2020
MixingBoard: a Knowledgeable Stylized Integrated Text Generation Platform
Xiang Gao, Michel Galley, Bill Dolan
ACL 2020 | May 2020
The Eighth Dialog System Technology Challenge
Seokhwan Kim, Michel Galley, Chulaka Gunasekara, Sungjin Lee, Adam Atkinson, Baolin Peng, Hannes Schulz, Jianfeng Gao, Jinchao Li, Mahmoud Adada, Minlie Huang, Luis Lastras, Jonathan K. Kummerfeld, Walter S. Lasecki, Chiori Hori, Anoop Cherian, Tim K. Marks, Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta
Third NeurIPS workshop on Conversational AI: “Today's Practice and Tomorrow's Potential” | December 2019
The Eighth Dialog System Technology Challenge
Seokhwan Kim, Michel Galley, Chulaka Gunasekara, Sungjin Lee, Adam Atkinson, Baolin Peng, Hannes Schulz, Jianfeng Gao, Jinchao Li, Mahmoud Adada, Minlie Huang, Luis Lastras, Jonathan K Kummerfeld, Walter S Lasecki, Chiori Hori, Anoop Cherian, Tim K Marks, Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta
The third Conversational AI workshop, NeurIPS | December 2019
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, JJ (Jingjing) Liu, Bill Dolan
arXiv:1911.00536 | November 2019
Structuring Latent Spaces for Stylized Response Generation
Xiang Gao, Yizhe Zhang, Sungjin Lee, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan
EMNLP-IJCNLP 2019 | September 2019
Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling
Vighnesh Leonardo Shiv, Chris Quirk, Anshuman Suri, Xiang Gao, Khuram Shahid, Nithya Govindarajan, Yizhe Zhang, Jianfeng Gao, Michel Galley, Chris Brockett, Tulasi Menon, Bill Dolan
Association for Computational Linguistics 2019 | July 2019
Neural Approaches to Conversational AI – Tutorial at ICML 2018
ICML 2019 Tutorial | June 2019
Towards Content Transfer through Grounded Text Generation
Shrimai Prabhumoye, Chris Quirk, Michel Galley
Proc. of NAACL | June 2019
Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading
Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao
Proc. of ACL | June 2019
Consistent Dialogue Generation with Self-supervised Feature Learning
Yizhe Zhang, Xiang Gao, Sungjin Lee, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan
preprint | March 2019
Jointly Optimizing Diversity and Relevance in Neural Response Generation
Xiang Gao, Sungjin Lee, Yizhe Zhang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan
NAACL-HLT 2019 | March 2019
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
Yizhe Zhang, Michel Galley, Jianfeng Gao, Zhe Gan, Xiujun Li, Chris Brockett, Bill Dolan
NeurIPS 2018 | December 2018
Neural Approaches to Conversational AI – Tutorial at ACL/SIGIR 2018
Jianfeng Gao, Michel Galley, Lihong Li
ACL and SIGIR tutorial | July 2018
ACL and SIGIR tutorial
Emotional Dialogue Generation using Image-Grounded Language Models
Bernd Huber, Daniel McDuff, Chris Brockett, Michel Galley, Bill Dolan
CHI 2018, April 21–26, 2018, Montreal, QC, Canada | April 2018
ISBN: 978-1-4503-5620-6/18/04
A Knowledge-Grounded Neural Conversation Model
Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Scott Wen-tau Yih, Michel Galley
AAAI | February 2018
Multi-Task Learning of Speaker-Role-Based Neural Conversation Models
Yi Luan, Chris Brockett, Bill Dolan, Jianfeng Gao, Michel Galley
IJCNLP | November 2017
Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation
Nasrin Mostafazadeh, Chris Brockett, Bill Dolan, Michel Galley, Jianfeng Gao, Georgios P. Spithourakis, Lucy Vanderwende
IJCNLP | November 2017
Deep Reinforcement Learning for Dialogue Generation
Jiwei Li, Will Monroe, Alan Ritter, Michel Galley, Jianfeng Gao, Dan Jurafsky
Proc. of EMNLP | June 2016
Visual Storytelling
Ting-Hao (Kenneth) Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT), 2016 | June 2016
Website: www.sind.ai
A Persona-Based Neural Conversation Model
Jiwei Li, Michel Galley, Chris Brockett, Georgios P. Spithourakis, Jianfeng Gao, Bill Dolan
Proc. of ACL | June 2016
A Diversity-Promoting Objective Function for Neural Conversation Models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan
Proc. of NAACL-HLT | March 2016
A Survey of Current Datasets for Vision and Language Research
Francis Ferraro, Nasrin Mostafazadeh, Ting-Hao (Kenneth) Huang, Lucy Vanderwende, Jacob Devlin, Michel Galley
Proc. of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP) | September 2015
Language To Code: Learning Semantic Parsers For If-This-Then-That Recipes
Chris Quirk, Raymond Mooney, Michel Galley
Proc. of ACL | August 2015
A Discriminative Model for Semantics-to-String Translation
Aleš Tamchyna, Chris Quirk, Michel Galley
Proc. of S2MT | July 2015
ˆ†BLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets
Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan
Proc. of ACL | July 2015
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Meg Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan
Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT) | June 2015
Large-scale Expected BLEU Training of Phrase-based Reordering Models
Michael Auli, Michel Galley, Jianfeng Gao
Proc. of EMNLP | October 2014
See No Evil, Say No Evil: Description Generation from Densely Labeled Images
Mark Yatskar, Michel Galley, Lucy Vanderwende, Luke Zettlemoyer
Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014) | August 2014
AutoCaption: Automatic Caption Generation for Personal Photos
Krishnan Ramnath, Simon Baker, Lucy Vanderwende, Motaz El-Saban, Sudipta Sinha, Anitha Kannan, Michel Galley, Noran Hasan
IEEE Winter Conference on Applications of Computer Vision | March 2014
Joint Language and Translation Modeling with Recurrent Neural Networks
Michael Auli, Michel Galley, Chris Quirk, Geoffrey Zweig
Proc. of EMNLP | October 2013
Regularized Minimum Error Rate Training
Michel Galley, Chris Quirk, Colin Cherry, Kristina Toutanova
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP), best paper finalist | October 2013
Best Paper Finalist
Direct Error Rate Minimization for Statistical Machine Translation
Tagyoung Chung, Michel Galley
Proc. of the Seventh Workshop on Statistical Machine Translation (WMT) | June 2012
Optimal Search for Minimum Error Rate Training
Proc. of Empirical Methods in Natural Language Processing (EMNLP) | July 2011
Best Paper Finalist
Why Initialization Matters for IBM Model 1: Multiple Optima and Non-Strict Convexity
Kristina Toutanova, Michel Galley
Proc. of the Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL) | June 2011
Improved Models of Distortion Cost for Statistical Machine Translation
Spence Green, Michel Galley, Christopher D. Manning
Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL) | June 2010
Phrasal: A Statistical Machine Translation Toolkit for Exploring New Model Features
Daniel Cer, Michel Galley, Daniel Jurafsky, Christopher D. Manning
Proc. of HLT-NAACL, Demonstration Session | June 2010
Accurate Non-Hierarchical Phrase-Based Translation
Michel Galley, Christopher D. Manning
Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL), best paper finalist | June 2010
Stanford University’s Arabic-to-English Statistical Machine Translation System for the 2009 NIST Evaluation
Michel Galley, Spence Green, Daniel Cer, Pi-Chuan Chang, Christopher D. Manning
The 2009 NIST Open Machine Translation Evaluation Meeting | September 2009
Robust Machine Translation Evaluation with Entailment Features
Sebastian Pado, Michel Galley, Dan Jurafsky, Christopher D. Manning
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP (ACL-AFNLP) | August 2009
Quadratic-Time Dependency Parsing for Machine Translation
Michel Galley, Christopher D. Manning
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP (ACL-AFNLP) | August 2009
ISBN: 978-1-932432-46-6
Machine Translation Evaluation with Textual Entailment Features
Sebastian Padó, Michel Galley, Daniel Jurafsky, Christopher D. Manning
Proceedings of the Fourth Workshop on Statistical Machine Translation (WMT) | March 2009
A Phrase-Based Alignment Model for Natural Language Inference
Bill MacCartney, Michel Galley, Christopher D. Manning
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing (EMNLP) | October 2008
A Simple and Effective Hierarchical Phrase Reordering Model
Michel Galley, Christopher D. Manning
Proc. of the 2008 Conference on Empirical Methods in Natural Language Processing (EMNLP) | October 2008
Evaluating MT output with entailment technology
Sebastian Pado, Michel Galley, Dan Jurafsky, Chris Manning
AMTA workshop: Metrics MATR - Metrics for Machine Translation Challenge | August 2008
Stanford University’s Chinese-to-English Statistical Machine Translation System for the 2008 NIST Evaluation
Michel Galley, Pi-Chuan Chang, Daniel Cer, Jenny R. Finkel, Christopher D. Manning
The 2008 NIST Open Machine Translation Evaluation Meeting | March 2008
Lexicalized Markov Grammars for Sentence Compression
Michel Galley, Kathleen McKeown
Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL) | April 2007
Automatic Summarization Of Conversational Multi-Party Speech
Proc. of AAAI | July 2006
Scalable Inference and Training of Context-Rich Syntactic Translation Models
Michel Galley, Jonathan Graehl, Kevin Knight, Daniel Marcu, Steve DeNeefe, Wei Wang, Ignacio Thayer
Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics (COLING-ACL) | July 2006
A Skip-Chain Conditional Random Field for Ranking Meeting Utterances by Importance
Proc. of EMNLP | July 2006
From Text Summarization to Speech Summarization
Kathleen McKeown, Julia Hirschberg, Michel Galley, Sameer Maskey
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) | March 2005
Identifying Agreement And Disagreement In Conversational Speech: Use Of Bayesian Networks To Model Pragmatic Dependencies
Michel Galley, Kathleen McKeown, Julia Hirschberg, Elizabeth Shriberg, Michel Galley
Proc. of ACL | July 2004
What’s in a translation rule?
Michel Galley, Mark Hopkins, Kevin Knight, Daniel Marcu
Proc. of HLT-NAACL | May 2004
Improving Word Sense Disambiguation in Lexical Chaining
Michel Galley, Kathleen McKeown
Proceedings of 18th International Joint Conference on Artificial Intelligence (IJCAI) | August 2003
Discourse Segmentation of Multi-Party Conversation
Michel Galley, Kathleen McKeown, Eric Fosler-Lussier, Hongyan Jing
Proc. of ACL | July 2003
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Joint Retrieval and Generation Training for Grounded Text Generation
Yizhe Zhang, Siqi Sun, Xiang Gao, Yuwei Fang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan
May 2021
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Overview of the seventh Dialog System Technology Challenge: DSTC7
Luis Fernando D’Haro, Koichiro Yoshino, Chiori Hori, Tim K. Marks, Lazaros Polymenakos, Jonathan K. Kummerfeld, Michel Galley, Xiang Gao
Computer Speech & Language | July 2020, Vol 62
Neural Approaches to Conversational AI
Jianfeng Gao, Michel Galley, Lihong Li
Foundations and Trends in Information Retrieval | February 2019
The MSR-NLP System at Dialog System Technology Challenges 6
Michel Galley, Chris Brockett, Bill Dolan, Jianfeng Gao
Dialog System Technology Challenges (DSTC) | November 2017
Measuring Machine Translation Quality as Semantic Equivalence: A Metric Based on Entailment Features
Sebastian Pado, Daniel Cer, Michel Galley, Dan Jurafsky, Christopher D. Manning
Machine Translation | November 2009
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Incorporating Discourse and Syntactic Dependencies into Probabilistic Models for Summarization of Multiparty Speech
August 2007
PhD Thesis: Columbia University (Ph.D. thesis) | August 2007