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Luke Zettlemoyer — all works

373 works · page 2 of 4 · 101–200 · ← Luke Zettlemoyer

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  1. RA-DIT: Retrieval-Augmented Dual Instruction TuningarXiv:2310.01352Xi Victoria Lin, Xilun Chen, Mingda Chen, et al.2023 · 149 citations
  2. Large-Scale QA-SRL ParsingNicholas FitzGerald, Julian Michael, Luheng He, et al.English · 143 citations
  3. Syntactic Scaffolds for Semantic Structures ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetSwabha Swayamdipta et al.2018 · 142 citations
  4. An Information Bottleneck Approach for Controlling Conciseness in Rationale ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Bhargavi Paranjape, Mandar Joshi, John Thickstun, et al.2020 · 140 citations
  5. Self-Alignment with Instruction BacktranslationarXiv:2308.06259Xian Li, Ping Yu, Chunting Zhou, et al.2023 · 139 citations
  6. Modeling Missing Data in Distant Supervision for Information Extraction ↗Transactions of the Association for Computational Linguistics · no summary yetAlan Ritter et al.2013 · 137 citations
  7. 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
  8. One Embedder, Any Task: Instruction-Finetuned Text Embeddings ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetHongjin Su et al.2023 · 135 citations
  9. Mise en Place: Unsupervised Interpretation of Instructional Recipes ↗Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yetChloé Kiddon et al.2015 · 135 citations
  10. Few-shot Learning with Multilingual Generative Language Models ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetXi Victoria Lin et al.2022 · 133 citations
  11. Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering ↗arXiv:1911.03868 · no summary yetSewon Min et al.2019 · 133 citations
  12. Aligned Cross Entropy for Non-Autoregressive Machine Translation ↗arXiv (Cornell University) · no summary yetMarjan Ghazvininejad et al.2020 · 131 citations
  13. Reading between the Lines: Learning to Map High-Level Instructions to Commands ↗Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics · no summary yetS.R.K. Branavan, Luke Zettlemoyer, Regina Barzilay2010 · 130 citations
  14. The case for 4-bit precision: k-bit Inference Scaling LawsarXiv:2212.09720Tim Dettmers, Luke Zettlemoyer2022 · 123 citations
  15. XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Davis Liang, Hila Gonen, Yuning Mao, et al.2023 · 120 citations
  16. SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetMichael Petrochuk, Luke Zettlemoyer2018 · 120 citations
  17. LSTM CCG ParsingMike Lewis, Kenton Lee, Luke ZettlemoyerEnglish · 120 citations
  18. Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetXilun Chen et al.2020 · 118 citations
  19. Natural Language to Code Translation with Execution ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetFreda Shi et al.2022 · 116 citations
  20. Contrastive Decoding: Open-ended Text Generation as Optimization ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXiang Lisa Li et al.2023 · 114 citations
  21. Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models ↗arXiv:2208.03306 · no summary yetMargaret Li et al.2022 · 114 citations
  22. Crowdsourcing Question-Answer Meaning RepresentationsJulian Michael, Gabriel Stanovsky, Luheng He, et al.English · 114 citations
  23. Efficient Large Scale Language Modeling with Mixtures of Experts ↗arXiv:2112.10684 · no summary yetMikel Artetxe et al.2021 · 113 citations
  24. Better Fine-Tuning by Reducing Representational Collapse ↗arXiv (Cornell University) · no summary yetArmen Aghajanyan et al.2020 · 109 citations
  25. Event Detection and Factuality Assessment with Non-Expert Supervision ↗Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yetKenton Lee et al.2015 · 107 citations
  26. VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding ↗Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yetHu Xu et al.2021 · 105 citations
  27. CM3: A Causal Masked Multimodal Model of the Internet ↗arXiv (Cornell University) · no summary yetArmen Aghajanyan et al.2022 · 104 citations
  28. Retrieval-Augmented Multimodal Language Modeling ↗arXiv:2211.12561 · no summary yetMichihiro Yasunaga et al.2022 · 104 citations
  29. Context-dependent Semantic Parsing for Time Expressions ↗Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetKenton Lee et al.2014 · 104 citations
  30. Mega: Moving Average Equipped Gated Attention ↗arXiv (Cornell University) · no summary yetXuezhe Ma et al.2022 · 103 citations
  31. Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging ↗arXiv:2310.11564 · no summary yetJoel Jang et al.2023 · 102 citations
  32. Learning Distributions over Logical Forms for Referring Expression Generation ↗Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing · no summary yetNicholas FitzGerald, Yoav Artzi, Luke Zettlemoyer2013 · 98 citations
  33. Prompting Contrastive Explanations for Commonsense Reasoning Tasks ↗Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yetBhargavi Paranjape et al.2021 · 96 citations
  34. Dictionary-based Phrase-level Prompting of Large Language Models for Machine TranslationarXiv:2302.07856Marjan Ghazvininejad, Hila Gonen, Luke Zettlemoyer2023 · 95 citations
  35. NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System ↗Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) · no summary yetXi Victoria Lin et al.2018 · 94 citations
  36. A Probabilistic Model of Syntactic and Semantic Acquisition from Child-Directed Utterances and their MeaningsConference of the European Chapter of the Association for Computational Linguistics (EACL)Tom Kwiatkowski, Sharon Goldwater, Luke Zettlemoyer, et al.2012 · 92 citations
  37. Towards Narrative-Centered Learning Environments ↗no summary yetBradford W. Mort et al.1999 · 91 citations
  38. Luna: Linear Unified Nested Attention ↗arXiv (Cornell University) · no summary yetXuezhe Ma et al.2021 · 90 citations
  39. Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetSuchin Gururangan et al.2022 · 89 citations
  40. Joint Coreference Resolution and Named-Entity Linking with Multi-Pass SievesConference on Empirical Methods in Natural Language Processing (EMNLP)Hannaneh Hajishirzi, Leila Zilles, Daniel S. Weld, et al.2013 · 88 citations
  41. Do Membership Inference Attacks Work on Large Language Models?arXiv:2402.07841Michael Duan, Anshuman Suri, Niloofar Mireshghallah, et al.2024 · 87 citations
  42. MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers ↗arXiv:2305.07185 · no summary yetLili Yu et al.2023 · 86 citations
  43. Controlled Crowdsourcing for High-Quality QA-SRL AnnotationPaul Roit, Ayal Klein, Daniela Stepanov, et al.English · 86 citations
  44. Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models ↗neural information processing systems · no summary yetXingyu Fu et al.2024 · 84 citations
  45. Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model ↗arXiv:2408.11039 · no summary yetChunting Zhou et al.2024 · 83 citations
  46. Automatic Idiom Identification in Wiktionary ↗Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing · no summary yetGrace Muzny, Luke Zettlemoyer2013 · 82 citations
  47. DEMix Layers: Disentangling Domains for Modular Language Modeling ↗arXiv:2108.05036 · no summary yetSuchin Gururangan et al.2021 · 76 citations
  48. JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Rajas Agashe, Srinivasan Iyer, Luke Zettlemoyer2019 · 75 citations
  49. HTLM: Hyper-Text Pre-Training and Prompting of Language Models ↗arXiv (Cornell University) · no summary yetArmen Aghajanyan et al.2021 · 74 citations
  50. 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
  51. Byte Latent Transformer: Patches Scale Better Than Tokens ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetArtidoro Pagnoni et al.2025 · 73 citations
  52. Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles ↗Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yetChristopher Clark, Mark Yatskar, Luke Zettlemoyer2020 · 72 citations
  53. Iterative Search for Weakly Supervised Semantic Parsing ↗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 yetPradeep Dasigi et al.2019 · 71 citations
  54. Semi-Autoregressive Training Improves Mask-Predict Decoding ↗arXiv (Cornell University) · no summary yetMarjan Ghazvininejad, Omer Levy, Luke Zettlemoyer2020 · 70 citations
  55. 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
  56. Prompt-free and Efficient Few-shot Learning with Language Models ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetRabeeh Karimi Mahabadi et al.2022 · 68 citations
  57. CREPE: Open-Domain Question Answering with False PresuppositionsXinyan Yu, Sewon Min, Luke Zettlemoyer, et al.English · 66 citations
  58. pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference ↗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 yetMandar Joshi et al.2019 · 66 citations
  59. Robot Programming by Demonstration with situated spatial language understanding ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetMaxwell Forbes et al.2015 · 66 citations
  60. Learning STRIPS Operators from Noisy and Incomplete Observations ↗arXiv (Cornell University) · no summary yetKira Mourão et al.2012 · 66 citations
  61. MUSE: Machine Unlearning Six-Way Evaluation for Language Models ↗arXiv (Cornell University) · no summary yetWeijia Shi et al.2024 · 65 citations
  62. 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
  63. Learning planning rules in noisy stochastic worlds ↗no summary yetLuke Zettlemoyer, Hanna Pasula, Leslie Pack Kaelbling2005 · 65 citations
  64. Demystifying CLIP Data ↗arXiv (Cornell University) · no summary yetXu Hu et al.2023 · 64 citations
  65. DeLighT: Deep and Light-weight Transformer ↗arXiv (Cornell University) · no summary yetSachin Mehta et al.2020 · 64 citations
  66. Prompting Language Models for Linguistic Structure ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetTerra Blevins, Hila Gonen, Luke Zettlemoyer2023 · 63 citations
  67. Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion TokensarXiv:2401.17377Jiacheng Liu, Sewon Min, Luke Zettlemoyer, et al.2024 · 62 citations
  68. OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs ↗arXiv:2411.14199 · no summary yetAkari Asai et al.2024 · 62 citations
  69. Nonparametric Masked Language Modeling ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetSewon Min et al.2023 · 62 citations
  70. In-context Pretraining: Language Modeling Beyond Document BoundariesarXiv:2310.10638Weijia Shi, Sewon Min, Maria Lomeli, et al.2023 · 61 citations
  71. Shepherd: A Critic for Language Model GenerationarXiv:2308.04592Tianlu Wang, Ping Yu, Xiaoqing Ellen Tan, et al.2023 · 60 citations
  72. Training Trajectories of Language Models Across Scales ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetMengzhou Xia et al.2023 · 60 citations
  73. Simple and Effective Retrieve-Edit-Rerank Text Generation ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetNabil Hossain, Marjan Ghazvininejad, Luke Zettlemoyer2020 · 59 citations
  74. Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning ↗arXiv (Cornell University) · no summary yetLili Yu et al.2023 · 58 citations
  75. Personalized mathematical word problem generation ↗no summary yetOleksandr Polozov et al.2015 · 58 citations
  76. Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXinxi Lyu et al.2023 · 56 citations
  77. Nearest Neighbor Zero-Shot Inference ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetWeijia Shi et al.2022 · 55 citations
  78. 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
  79. Spurious Rewards: Rethinking Training Signals in RLVR ↗arXiv:2506.10947 · no summary yetRulin Shao et al.2025 · 53 citations
  80. Learning probabilistic relational planning rules ↗no summary yetHanna Pasula, Luke Zettlemoyer, Leslie Pack Kaelbling2003 · 52 citations
  81. 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
  82. Revisiting Machine Translation for Cross-lingual Classification ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetMikel Artetxe et al.2023 · 50 citations
  83. Language Contamination Helps Explain the Cross-lingual Capabilities of English Pretrained Models ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetTerra Blevins, Luke Zettlemoyer2022 · 48 citations
  84. Learning Programmatic Idioms for Scalable Semantic Parsing ↗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 yetSrinivasan Iyer, Alvin Cheung, Luke Zettlemoyer2019 · 48 citations
  85. FaVIQ: FAct Verification from Information-seeking Questions ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetJungsoo Park et al.2022 · 47 citations
  86. Stable and low-precision training for large-scale vision-language models ↗arXiv:2304.13013 · no summary yetMitchell Wortsman et al.2023 · 46 citations
  87. Commonly Uncommon: Semantic Sparsity in Situation Recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMark Yatskar et al.2017 · 46 citations
  88. Reliable, Adaptable, and Attributable Language Models with RetrievalarXiv:2403.03187Akari Asai, Zexuan Zhong, Danqi Chen, et al.2024 · 45 citations
  89. Scaling Laws for Generative Mixed-Modal Language ModelsarXiv:2301.03728Armen Aghajanyan, Lili Yu, Alexis Conneau, et al.2023 · 45 citations
  90. SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore ↗arXiv:2308.04430 · no summary yetSewon Min et al.2023 · 45 citations
  91. Morpho-syntactic Lexical Generalization for CCG Semantic Parsing ↗Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetAdrienne Wang, Tom Kwiatkowski, Luke Zettlemoyer2014 · 45 citations
  92. A Theme-Rewriting Approach for Generating Algebra Word Problems ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetRik Koncel-Kedziorski et al.2016 · 44 citations
  93. 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
  94. Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment ↗ACL-IJCNLP 2021 (online) · no summary yetHaoyue Shi, Luke Zettlemoyer, Sida I. Wang2021 · 43 citations
  95. A visual medium for programmatic control of interactive applications ↗no summary yetLuke Zettlemoyer, Robert St. Amant1999 · 43 citations
  96. Synthesizing scientific literature with retrieval-augmented language models ↗Nature · no summary yetAkari Asai et al.2026 · 42 citations
  97. Breaking the Curse of Multilinguality with Cross-lingual Expert Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Terra Blevins, Tomasz Limisiewicz, Suchin Gururangan, et al.2024 · 42 citations
  98. ReasonIR: Training Retrievers for Reasoning Tasks ↗arXiv (Cornell University) · no summary yetRulin Shao et al.2025 · 41 citations
  99. QANom: Question-Answer driven SRL for NominalizationsAyal Klein, Jonathan Mamou, Valentina Pyatkin, et al.English · 41 citations
  100. Document-level Sentiment Inference with Social, Faction, and Discourse Context ↗Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetEunsol Choi et al.2016 · 41 citations

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