---
title: "Michel Galley — all works — Elamur Research"
description: "All 50 works of Michel Galley in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/michel-galley/works/"
---
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# Michel Galley — all works

50 works · [← Michel Galley](https://md.research.elamur.ai/free/en/authors/michel-galley/)

1. **[A Diversity-Promoting Objective Function for Neural Conversation Models](https://md.research.elamur.ai/free/en/papers/li-2016-diversity-promoting-objective-function-neural/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jiwei Li, Michel Galley, Chris Brockett, et al.*2016 · 2,960 citations*
2. **[Deep Reinforcement Learning for Dialogue Generation](https://md.research.elamur.ai/free/en/papers/li-2016-deep-reinforcement-learning-dialogue-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/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*](https://md.research.elamur.ai/free/en/papers/galley-2004-what-s-translation-rule/)
4. [**DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation arXiv:1911.00536**Yizhe Zhang, Siqi Sun, Michel Galley, et al.*2019 · 696 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-dialogpt-large-scale-generative-pre/)
5. [**Instruction Tuning with GPT-4 arXiv:2304.03277**Baolin Peng, Chunyuan Li, Pengcheng He, et al.*2023 · 662 citations*](https://md.research.elamur.ai/free/en/papers/peng-2023-instruction-tuning-gpt-4/)
6. [**Scalable Inference and Training of Context-Rich Syntactic Translation Models**Michel Galley, Jonathan Graehl, Kevin Knight, et al.*Machine translation · 638 citations*](https://md.research.elamur.ai/free/en/papers/galley-2006-scalable-inference-training-context-rich/)
7. **[A Simple and Effective Hierarchical Phrase Reordering Model](https://md.research.elamur.ai/free/en/papers/galley-2008-simple-effective-hierarchical-phrase-reordering/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Michel Galley, Christopher D. Manning*2008 · 472 citations*
8. [**MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts arXiv:2310.02255**Pan Lu, Hritik Bansal, Tony Xia, et al.*2023 · 468 citations*](https://md.research.elamur.ai/free/en/papers/lu-2023-mathvista-evaluating-mathematical-reasoning-foundation/)
9. [**A Persona-Based Neural Conversation Model arXiv:1603.06155**Jiwei Li, Michel Galley, Chris Brockett, et al.*2016 · 462 citations*](https://md.research.elamur.ai/free/en/papers/li-2016-persona-based-neural-conversation-model/)
10. **[Discourse Segmentation of Multi-Party Conversation](https://md.research.elamur.ai/free/en/papers/galley-2003-discourse-segmentation-multi-party-conversation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michel Galley, Kathleen R. McKeown, Eric Fosler-Lussier, et al.*2003 · 456 citations*
11. **[Optimizing Chinese Word Segmentation for Machine Translation Performance](https://md.research.elamur.ai/free/en/papers/chang-2008-optimizing-chinese-word-segmentation-machine/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Pi-Chuan Chang, Michel Galley, Christopher D. Manning*2008 · 421 citations*
12. [**Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback arXiv:2302.12813**Baolin Peng, Michel Galley, Pengcheng He, et al.*2023 · 363 citations*](https://md.research.elamur.ai/free/en/papers/peng-2023-check-facts-try-again-improving/)
13. [**A Neural Network Approach to Context-Sensitive Generation of Conversational Responses arXiv:1506.06714**Alessandro Sordoni, Michel Galley, Michael Auli, et al.*2015 · 329 citations*](https://md.research.elamur.ai/free/en/papers/sordoni-2015-neural-network-approach-context-sensitive/)
14. **[Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models](https://md.research.elamur.ai/free/en/papers/lu-2023-chameleon-plug-play-compositional-reasoning/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Pan Lu, Baolin Peng, Hao Cheng, et al.*2023 · 327 citations*
15. **[Neural Approaches to Conversational AI ↗](https://arxiv.org/abs/1809.08267) arXiv:1809.08267 · no summary yet**Jianfeng Gao, Michel Galley, Lihong Li*2018 · 286 citations*
16. **[Identifying Agreement and Disagreement in Conversational Speech: Use of Bayesian Networks to Model Pragmatic Dependencies](https://md.research.elamur.ai/free/en/papers/galley-2004-identifying-agreement-disagreement-conversational-speech/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michel Galley, Kathleen McKeown, Julia Hirschberg, et al.*2004 · 278 citations*
17. **[Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation](https://md.research.elamur.ai/free/en/papers/mostafazadeh-2017-image-grounded-conversations-multimodal-context/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Nasrin Mostafazadeh, Chris Brockett, Bill Dolan, et al.*2017 · 199 citations*
18. **[Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes](https://md.research.elamur.ai/free/en/papers/quirk-2015-language-code-learning-semantic-parsers/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chris Quirk, Raymond Mooney, Michel Galley*2015 · 185 citations*
19. **[A Phrase-Based Alignment Model for Natural Language Inference ↗](https://aclanthology.org/D08-1084/) Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing · no summary yet**Bill MacCartney, Michel Galley, Christopher D. Manning*2008 · 162 citations*
20. **[Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading ↗](https://aclanthology.org/P19-1539/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Lianhui Qin et al.*2019 · 138 citations*
21. **[deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets ↗](https://arxiv.org/abs/1506.06863) arXiv:1506.06863 · no summary yet**Michel Galley et al.*2015 · 135 citations*
22. **[Dialogue Response Ranking Training with Large-Scale Human Feedback Data ↗](https://aclanthology.org/2020.emnlp-main.28/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Xiang Gao et al.*2020 · 131 citations*
23. **[Robust Machine Translation Evaluation with Entailment Features ↗](https://aclanthology.org/P09-1034/) 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 yet**Sebastian Padó et al.*2009 · 126 citations*
24. **[Jointly Optimizing Diversity and Relevance in Neural Response Generation ↗](https://aclanthology.org/N19-1125/) 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 yet**Xiang Gao et al.*2019 · 117 citations*
25. **[Accurate Non-Hierarchical Phrase-Based Translation ↗](https://aclanthology.org/N10-1140/) Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics · no summary yet**Michel Galley, Christopher D. Manning*2010 · 96 citations*
26. **[A Survey of Current Datasets for Vision and Language Research ↗](https://aclanthology.org/D15-1021/) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yet**Francis Ferraro et al.*2015 · 95 citations*
27. [**Rethinking Interpretability in the Era of Large Language Models arXiv:2402.01761**Chandan Singh, Jeevana Priya Inala, Michel Galley, et al.*2024 · 87 citations*](https://md.research.elamur.ai/free/en/papers/singh-2024-rethinking-interpretability-era-large-language/)
28. **[Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-self-checker-plug-play-modules/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Miaoran Li, Baolin Peng, Michel Galley, et al.*2024 · 87 citations*
29. **[See No Evil, Say No Evil: Description Generation from Densely Labeled Images ↗](https://aclanthology.org/S14-1015/) Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014) · no summary yet**Mark Yatskar et al.*2014 · 70 citations*
30. **[Measuring machine translation quality as semantic equivalence: A metric based on entailment features ↗](https://doi.org/10.1007/s10590-009-9060-y) Machine Translation · no summary yet**Sebastian Padó et al.*2009 · 70 citations*
31. **[Quadratic-Time Dependency Parsing for Machine Translation ↗](https://aclanthology.org/P09-1087/) 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 yet**Michel Galley, Christopher D. Manning*2009 · 64 citations*
32. **[Data Augmentation for Abstractive Query-Focused Multi-Document Summarization ↗](https://doi.org/10.1609/aaai.v35i15.17611) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Ramakanth Pasunuru et al.*2021 · 54 citations*
33. [**Self-Verification Improves Few-Shot Clinical Information Extraction arXiv:2306.00024 · IMLH 2023**Zelalem Gero, Chandan Singh, Hao Cheng, et al.*2023 · 51 citations*](https://md.research.elamur.ai/free/en/papers/gero-2023-self-verification-improves-few-shot/)
34. **[Improved Models of Distortion Cost for Statistical Machine Translation ↗](https://aclanthology.org/N10-1129/) Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics · no summary yet**Spence Green, Michel Galley, Christopher D. Manning*2010 · 49 citations*
35. **[Phrasal: A Statistical Machine Translation Toolkit for Exploring New Model Features ↗](https://aclanthology.org/N10-2003/) Proceedings of the NAACL HLT 2010 Demonstration Session · no summary yet**Daniel Cer et al.*2010 · 46 citations*
36. **[Dialog System Technology Challenge 7 ↗](https://arxiv.org/abs/1901.03461) arXiv (Cornell University) · no summary yet**Koichiro Yoshino et al.*2019 · 40 citations*
37. **[Phrasal: a toolkit for statistical machine translation with facilities for extraction and incorporation of arbitrary model features ↗](https://openalex.org/W2183748887) no summary yet**Daniel M. Cer et al.*2010 · 39 citations*
38. **[CollabLLM: From Passive Responders to Active Collaborators ↗](https://arxiv.org/abs/2502.00640) arXiv (Cornell University) · no summary yet**Wu, Shirley et al.*2025 · 30 citations*
39. **[Large-scale Expected BLEU Training of Phrase-based Reordering Models ↗](https://aclanthology.org/D14-1132/) Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Michael Auli, Michel Galley, Jianfeng Gao*2014 · 21 citations*
40. **[Direct Error Rate Minimization for Statistical Machine Translation ↗](https://aclanthology.org/W12-3159/) Proceedings of the Seventh Workshop on Statistical Machine Translation · no summary yet**Tagyoung Chung, Michel Galley*2012 · 12 citations*
41. **[Machine Translation Evaluation with Textual Entailment Features ↗](https://aclanthology.org/W09-0404/) Proceedings of the Fourth Workshop on Statistical Machine Translation · no summary yet**Sebastian Padó et al.*2009 · 10 citations*
42. **[Stanford University’s Arabic-to-English Statistical Machine Translation System for the 2009 NIST MT Open Evaluation ↗](https://openalex.org/W2591728348) no summary yet**Michel Galley et al.*2009 · 6 citations*
43. **[NIST Open Machine Translation 2008 Evaluation: Stanford University's System Description ↗](https://openalex.org/W2189048262) no summary yet**Michel Galley et al.*2008 · 4 citations*
44. **[CollabLLM: From Passive Responders to Active Collaborators (Extended Abstract) ↗](https://doi.org/10.24963/ijcai.2026/928) International Joint Conference on Artificial Intelligence · no summary yet**Shirley Wu et al.*2026 · 1 citation*
45. **[Stanford University’s Chinese-to-English Statistical Machine Translation System for the 2008 NIST Evaluation ↗](https://openalex.org/W2973060762) no summary yet**Michel Galley et al.*2008 · 1 citation*
46. **[Quadratic-time dependency parsing for machine translation ↗](https://openalex.org/W7099448442) no summary yet**Christoper D. Manning et al.*2016*
47. **[2009, ‘Textual Entailment Features for Machine Translation Evaluation ↗](https://openalex.org/W7097280859) no summary yet**Michel Galley, Dan Jurafsky, Christopher D. Manning*2014*
48. **[This document describes Stanford University’s first ↗](https://openalex.org/W7098426511) no summary yet**Michel Galley et al.*2009*
49. **[Measuring machine translation quality as semantic equivalence: A metric based on entailment features. Machine Translation ↗](https://openalex.org/W7098667062) no summary yet**Sebastian Padó et al.*2009*
50. **[Evaluating MT output with entailment technology ↗](https://openalex.org/W2592141026) no summary yet**Sebastian Padó et al.*2008*