🧑‍🔬 Michel Galley — all works

50 works · ← Michel Galley

1. A Diversity-Promoting Objective Function for Neural Conversation ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jiwei Li, Michel Galley, Chris Brockett, et al.2016 · 2,960 citations
2. Deep Reinforcement Learning for Dialogue GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Will Monroe, Alan Ritter, et al.2016 · 1,502 citations
3. What's in a translation rule?Michel Galley, Mark Hopkins, Kevin Knight, et al.Machine translation · 734 citations
4. DialoGPT: Large-Scale Generative Pre-training for Conversational Response GenerationarXiv:1911.00536Yizhe Zhang, Siqi Sun, Michel Galley, et al.2019 · 696 citations
5. Instruction Tuning with GPT-4arXiv:2304.03277Baolin Peng, Chunyuan Li, Pengcheng He, et al.2023 · 662 citations
6. Scalable Inference and Training of Context-Rich Syntactic Translation ModelsMichel Galley, Jonathan Graehl, Kevin Knight, et al.Machine translation · 638 citations
7. A Simple and Effective Hierarchical Phrase Reordering ModelConference on Empirical Methods in Natural Language Processing (EMNLP)Michel Galley, Christopher D. Manning2008 · 472 citations
8. MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsarXiv:2310.02255Pan Lu, Hritik Bansal, Tony Xia, et al.2023 · 468 citations
9. A Persona-Based Neural Conversation ModelarXiv:1603.06155Jiwei Li, Michel Galley, Chris Brockett, et al.2016 · 462 citations
10. Discourse Segmentation of Multi-Party ConversationAnnual Meeting of the Association for Computational Linguistics (ACL)Michel Galley, Kathleen R. McKeown, Eric Fosler-Lussier, et al.2003 · 456 citations
11. Optimizing Chinese Word Segmentation for Machine Translation PerformanceConference on Machine Translation (WMT)Pi-Chuan Chang, Michel Galley, Christopher D. Manning2008 · 421 citations
12. Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated FeedbackarXiv:2302.12813Baolin Peng, Michel Galley, Pengcheng He, et al.2023 · 363 citations
13. A Neural Network Approach to Context-Sensitive Generation of Conversational ResponsesarXiv:1506.06714Alessandro Sordoni, Michel Galley, Michael Auli, et al.2015 · 329 citations
14. Chameleon: Plug-and-Play Compositional Reasoning with Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Pan Lu, Baolin Peng, Hao Cheng, et al.2023 · 327 citations
15. Neural Approaches to Conversational AI ↗arXiv:1809.08267 · no summary yetJianfeng Gao, Michel Galley, Lihong Li2018 · 286 citations
16. Identifying Agreement and Disagreement in Conversational Speech: Use of Bayesian Networks to Model Pragmatic DependenciesAnnual Meeting of the Association for Computational Linguistics (ACL)Michel Galley, Kathleen McKeown, Julia Hirschberg, et al.2004 · 278 citations
17. Image-Grounded Conversations: Multimodal Context for Natural Question and Response GenerationInternational Joint Conference on Natural Language Processing (IJCNLP)Nasrin Mostafazadeh, Chris Brockett, Bill Dolan, et al.2017 · 199 citations
18. Language to Code: Learning Semantic Parsers for If-This-Then-That RecipesAnnual Meeting of the Association for Computational Linguistics (ACL)Chris Quirk, Raymond Mooney, Michel Galley2015 · 185 citations
19. A Phrase-Based Alignment Model for Natural Language Inference ↗Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing · no summary yetBill MacCartney, Michel Galley, Christopher D. Manning2008 · 162 citations
20. Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetLianhui Qin et al.2019 · 138 citations
21. deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets ↗arXiv:1506.06863 · no summary yetMichel Galley et al.2015 · 135 citations
22. Dialogue Response Ranking Training with Large-Scale Human Feedback Data ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetXiang Gao et al.2020 · 131 citations
23. Robust Machine Translation Evaluation with Entailment Features ↗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 · no summary yetSebastian Padó et al.2009 · 126 citations
24. Jointly Optimizing Diversity and Relevance in Neural Response Generation ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetXiang Gao et al.2019 · 117 citations
25. Accurate Non-Hierarchical Phrase-Based Translation ↗Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics · no summary yetMichel Galley, Christopher D. Manning2010 · 96 citations
26. A Survey of Current Datasets for Vision and Language Research ↗Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yetFrancis Ferraro et al.2015 · 95 citations
27. Rethinking Interpretability in the Era of Large Language ModelsarXiv:2402.01761Chandan Singh, Jeevana Priya Inala, Michel Galley, et al.2024 · 87 citations
28. Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language ModelsFindings of the Association for Computational LinguisticsMiaoran Li, Baolin Peng, Michel Galley, et al.2024 · 87 citations
29. See No Evil, Say No Evil: Description Generation from Densely Labeled Images ↗Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014) · no summary yetMark Yatskar et al.2014 · 70 citations
30. Measuring machine translation quality as semantic equivalence: A metric based on entailment features ↗Machine Translation · no summary yetSebastian Padó et al.2009 · 70 citations
31. Quadratic-Time Dependency Parsing for Machine Translation ↗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 · no summary yetMichel Galley, Christopher D. Manning2009 · 64 citations
32. Data Augmentation for Abstractive Query-Focused Multi-Document Summarization ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetRamakanth Pasunuru et al.2021 · 54 citations
33. Self-Verification Improves Few-Shot Clinical Information ExtractionarXiv:2306.00024 · IMLH 2023Zelalem Gero, Chandan Singh, Hao Cheng, et al.2023 · 51 citations
34. Improved Models of Distortion Cost for Statistical Machine Translation ↗Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics · no summary yetSpence Green, Michel Galley, Christopher D. Manning2010 · 49 citations
35. Phrasal: A Statistical Machine Translation Toolkit for Exploring New Model Features ↗Proceedings of the NAACL HLT 2010 Demonstration Session · no summary yetDaniel Cer et al.2010 · 46 citations
36. Dialog System Technology Challenge 7 ↗arXiv (Cornell University) · no summary yetKoichiro Yoshino et al.2019 · 40 citations
37. Phrasal: a toolkit for statistical machine translation with facilities for extraction and incorporation of arbitrary model features ↗no summary yetDaniel M. Cer et al.2010 · 39 citations
38. CollabLLM: From Passive Responders to Active Collaborators ↗arXiv (Cornell University) · no summary yetWu, Shirley et al.2025 · 30 citations
39. Large-scale Expected BLEU Training of Phrase-based Reordering Models ↗Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetMichael Auli, Michel Galley, Jianfeng Gao2014 · 21 citations
40. Direct Error Rate Minimization for Statistical Machine Translation ↗Proceedings of the Seventh Workshop on Statistical Machine Translation · no summary yetTagyoung Chung, Michel Galley2012 · 12 citations
41. Machine Translation Evaluation with Textual Entailment Features ↗Proceedings of the Fourth Workshop on Statistical Machine Translation · no summary yetSebastian Padó et al.2009 · 10 citations
42. Stanford University’s Arabic-to-English Statistical Machine Translation System for the 2009 NIST MT Open Evaluation ↗no summary yetMichel Galley et al.2009 · 6 citations
43. NIST Open Machine Translation 2008 Evaluation: Stanford University's System Description ↗no summary yetMichel Galley et al.2008 · 4 citations
44. CollabLLM: From Passive Responders to Active Collaborators (Extended Abstract) ↗International Joint Conference on Artificial Intelligence · no summary yetShirley Wu et al.2026 · 1 citation
45. Stanford University’s Chinese-to-English Statistical Machine Translation System for the 2008 NIST Evaluation ↗no summary yetMichel Galley et al.2008 · 1 citation
46. Quadratic-time dependency parsing for machine translation ↗no summary yetChristoper D. Manning et al.2016
47. 2009, ‘Textual Entailment Features for Machine Translation Evaluation ↗no summary yetMichel Galley, Dan Jurafsky, Christopher D. Manning2014
48. This document describes Stanford University’s first ↗no summary yetMichel Galley et al.2009
49. Measuring machine translation quality as semantic equivalence: A metric based on entailment features. Machine Translation ↗no summary yetSebastian Padó et al.2009
50. Evaluating MT output with entailment technology ↗no summary yetSebastian Padó et al.2008

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