🧑‍🔬 Mike Lewis — all works

54 works · ← Mike Lewis

1. BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Mike Lewis, Yinhan Liu, Naman Goyal, et al.2020 · 12,856 citations
2. RoBERTa: A Robustly Optimized BERT Pretraining ApproacharXiv:1907.11692Yinhan Liu, Myle Ott, Naman Goyal, et al.2019 · 9,837 citations
3. Retrieval-Augmented Generation for Knowledge-Intensive NLP TasksarXiv:2005.11401Patrick Lewis, Ethan Perez, Aleksandra Piktus, et al.2020 · 6,256 citations
4. Multilingual Denoising Pre-training for Neural Machine Translation ↗Transactions of the Association for Computational Linguistics · no summary yetYinhan Liu et al.2020 · 2,616 citations
5. Hierarchical Neural Story GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Angela Fan, Mike Lewis, Yann Dauphin2018 · 2,009 citations
6. Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?Conference on Empirical Methods in Natural Language Processing (EMNLP)Sewon Min, Xinxi Lyu, Ari Holtzman, et al.2022 · 1,444 citations
7. End-to-end Neural Coreference ResolutionKenton Lee, Luheng He, Mike Lewis, et al.English · 1,284 citations
8. FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Sewon Min, Kalpesh Krishna, Xinxi Lyu, et al.2023 · 987 citations
9. Asking and Answering Questions to Evaluate the Factual Consistency of Summaries ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetAlex Wang, Kyunghyun Cho, Mike Lewis2020 · 666 citations
10. Deep Semantic Role Labeling: What Works and What's NextLuheng He, Kenton Lee, Mike Lewis, et al.English · 596 citations
11. REPLUG: Retrieval-Augmented Black-Box Language ModelsarXiv:2301.12652Weijia Shi, Sewon Min, Michihiro Yasunaga, et al.2023 · 492 citations
12. Generalization through Memorization: Nearest Neighbor Language Models ↗arXiv:1911.00172 · no summary yetUrvashi Khandelwal et al.2019 · 464 citations
13. Deal or No Deal? End-to-End Learning of Negotiation DialoguesConference on Empirical Methods in Natural Language Processing (EMNLP)Mike Lewis, Denis Yarats, Yann Dauphin, et al.2017 · 423 citations
14. Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation ↗arXiv:2108.12409 · no summary yetOfir Press, Noah A. Smith, Mike Lewis2021 · 417 citations
15. Cross-lingual Transfer Learning for Multilingual Task Oriented DialogConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sebastian Schuster, Sonal Gupta, Rushin Shah, et al.2019 · 391 citations
16. Human-level play in the game of Diplomacy by combining language models with strategic reasoning ↗Science · no summary yetAnton Bakhtin et al.2022 · 328 citations
17. Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural LanguageLuheng He, Mike Lewis, Luke ZettlemoyerEnglish · 327 citations
18. Strategies for Structuring Story Generation ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetAngela Fan, Mike Lewis, Yann Dauphin2019 · 289 citations
19. Semantic Parsing for Task Oriented Dialog using Hierarchical RepresentationsConference on Empirical Methods in Natural Language Processing (EMNLP)Sonal Gupta, Rushin Shah, Mrinal Mohit, et al.2018 · 282 citations
20. A Corpus of Natural Language for Visual Reasoning ↗Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetAlane Suhr et al.2017 · 259 citations
21. Contrastive Decoding: Open-ended Text Generation as OptimizationarXiv:2210.15097Xiang Lisa Li, Ari Holtzman, Daniel Fried, et al.2022 · 254 citations
22. Trusting Your Evidence: Hallucinate Less with Context-aware DecodingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Weijia Shi, Xiaochuang Han, Mike Lewis, et al.2024 · 249 citations
23. In-context Examples Selection for Machine TranslationFindings of the Association for Computational LinguisticsSweta Agrawal, Chunting Zhou, Mike Lewis, et al.2023 · 243 citations
24. Noisy Channel Language Model Prompting for Few-Shot Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Sewon Min, Mike Lewis, Hannaneh Hajishirzi, et al.2021 · 243 citations
25. Improving Passage Retrieval with Zero-Shot Question GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Devendra Sachan, Mike Lewis, Mandar Joshi, et al.2022 · 199 citations
26. Nearest Neighbor Machine Translation ↗arXiv (Cornell University) · no summary yetUrvashi Khandelwal et al.2020 · 193 citations
27. Pre-training via ParaphrasingarXiv:2006.15020Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, et al.2020 · 187 citations
28. 8-bit Optimizers via Block-wise QuantizationarXiv:2110.02861Tim Dettmers, Mike Lewis, Sam Shleifer, et al.2021 · 181 citations
29. BASE Layers: Simplifying Training of Large, Sparse ModelsarXiv:2103.16716Mike Lewis, Shruti Bhosale, Tim Dettmers, et al.2021 · 177 citations
30. A* CCG Parsing with a Supertag-factored ModelMike Lewis, Mark SteedmanEnglish · 175 citations
31. RA-DIT: Retrieval-Augmented Dual Instruction TuningarXiv:2310.01352Xi Victoria Lin, Xilun Chen, Mingda Chen, et al.2023 · 149 citations
32. Self-Alignment with Instruction BacktranslationarXiv:2308.06259Xian Li, Ping Yu, Chunting Zhou, et al.2023 · 139 citations
33. Grounded Adaptation for Zero-shot Executable Semantic ParsingConference on Empirical Methods in Natural Language Processing (EMNLP)Victor Zhong, Mike Lewis, Sida I. Wang, et al.2020 · 136 citations
34. LSTM CCG ParsingMike Lewis, Kenton Lee, Luke ZettlemoyerEnglish · 120 citations
35. Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language ModelsarXiv:2208.03306Margaret Li, Suchin Gururangan, Tim Dettmers, et al.2022 · 114 citations
36. Retrieval-Augmented Multimodal Language ModelingarXiv:2211.12561Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, et al.2022 · 104 citations
37. A Dataset for Telling the Stories of Social Media Videos ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetSpandana Gella, Mike Lewis, Marcus Rohrbach2018 · 79 citations
38. HTLM: Hyper-Text Pre-Training and Prompting of Language Models ↗arXiv (Cornell University) · no summary yetArmen Aghajanyan et al.2021 · 74 citations
39. Joint A* CCG Parsing and Semantic Role Labelling ↗Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yetMike Lewis, Luheng He, Luke Zettlemoyer2015 · 74 citations
40. Contrastive Decoding Improves Reasoning in Large Language ModelsarXiv:2309.09117Sean O'Brien, Mike Lewis2023 · 68 citations
41. Questions Are All You Need to Train a Dense Passage RetrieverTransactions of the Association for Computational Linguistics (TACL)Devendra Singh Sachan, Mike Lewis, Dani Yogatama, et al.2023 · 65 citations
42. In-context Pretraining: Language Modeling Beyond Document BoundariesarXiv:2310.10638Weijia Shi, Sewon Min, Maria Lomeli, et al.2023 · 61 citations
43. Improved CCG Parsing with Semi-supervised SupertaggingTransactions of the Association for Computational Linguistics (TACL)Mike Lewis, Mark Steedman2014 · 58 citations
44. Global Neural CCG Parsing with Optimality Guarantees ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetKenton Lee, Mike Lewis, Luke Zettlemoyer2016 · 55 citations
45. Human-in-the-Loop Parsing ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetLuheng He et al.2016 · 51 citations
46. Question Answering Infused Pre-training of General-Purpose Contextualized Representations ↗Findings of the Association for Computational Linguistics: ACL 2022 · no summary yetRobin Jia, Mike Lewis, Luke Zettlemoyer2022 · 43 citations
47. Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetPanupong Pasupat et al.2019 · 32 citations
48. Improving Semantic Parsing for Task Oriented Dialog ↗arXiv (Cornell University) · no summary yetArash Einolghozati et al.2019 · 31 citations
49. Enforcing Encoder-Decoder Modularity in Sequence-to-Sequence Models ↗arXiv (Cornell University) · no summary yetSiddharth Dalmia et al.2019 · 14 citations
50. Combinatory Categorial Grammars for Robust Natural Language Processing ↗no summary yetMark J. Steedman et al.2013 · 2 citations
51. Compute Optimal Tokenization ↗arXiv (Cornell University) · no summary yetTomasz Limisiewicz et al.2026 · 1 citation
52. Prefix Sliding for efficient test-time scaling ↗arXiv (Cornell University) · no summary yetNiklas Muennighoff et al.2026 · 1 citation
53. Latent Speech-Text Transformer ↗arXiv (Cornell University) · no summary yetYen-Ju Lu et al.2025 · 1 citation
54. Breaking the Token Ceiling: Distilling Smaller, Stronger Byte Models ↗arXiv (Cornell University) · no summary yetKalyani Marathe et al.2026

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