---
title: "Luke Zettlemoyer — all works — Elamur Research"
description: "All 370 works of Luke Zettlemoyer in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Luke Zettlemoyer — all works

370 works · page 1 of 4 · 1–100 · [← Luke Zettlemoyer](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/)

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1. **[Deep Contextualized Word Representations](https://md.research.elamur.ai/free/en/papers/peters-2018-deep-contextualized-word-representations/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Matthew E. Peters, Mark Neumann, Mohit Iyyer, et al.*2018 · 14,944 citations*
2. **[BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension](https://md.research.elamur.ai/free/en/papers/lewis-2020-bart-denoising-sequence-sequence-pre/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mike Lewis, Yinhan Liu, Naman Goyal, et al.*2020 · 12,856 citations*
3. [**RoBERTa: A Robustly Optimized BERT Pretraining Approach arXiv:1907.11692**Yinhan Liu, Myle Ott, Naman Goyal, et al.*2019 · 9,837 citations*](https://md.research.elamur.ai/free/en/papers/liu-2019-roberta-robustly-optimized-bert-pretraining/)
4. **[Unsupervised Cross-lingual Representation Learning at Scale](https://md.research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Alexis Conneau, Kartikay Khandelwal, Naman Goyal, et al.*2020 · 9,468 citations*
5. **[TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension](https://md.research.elamur.ai/free/en/papers/joshi-2017-triviaqa-large-scale-distantly-supervised/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mandar Joshi, Eunsol Choi, Daniel Weld, et al.*2017 · 3,263 citations*
6. **[QLoRA: Efficient Finetuning of Quantized LLMs](https://md.research.elamur.ai/free/en/papers/dettmers-2023-qlora-efficient-finetuning-quantized-llms/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, et al.*2023 · 2,929 citations*
7. **[Multilingual Denoising Pre-training for Neural Machine Translation ↗](https://aclanthology.org/2020.tacl-1.47/) Transactions of the Association for Computational Linguistics · no summary yet**Yinhan Liu et al.*2020 · 2,616 citations*
8. **[SpanBERT: Improving Pre-training by Representing and Predicting Spans](https://md.research.elamur.ai/free/en/papers/joshi-2019-spanbert-improving-pre-training-representing/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Mandar Joshi, Danqi Chen, Yinhan Liu, et al.*2019 · 2,616 citations*
9. **[Toolformer: Language Models Can Teach Themselves to Use Tools](https://md.research.elamur.ai/free/en/papers/schick-2023-toolformer-language-models-can-teach/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, et al.*2023 · 2,065 citations*
10. [**AllenNLP: A Deep Semantic Natural Language Processing Platform arXiv:1803.07640**Matt Gardner, Joel Grus, Mark Neumann, et al.*2018 · 1,819 citations*](https://md.research.elamur.ai/free/en/papers/gardner-2018-allennlp-deep-semantic-natural-language/)
11. **[Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?](https://md.research.elamur.ai/free/en/papers/min-2022-rethinking-role-demonstrations-what-makes/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sewon Min, Xinxi Lyu, Ari Holtzman, et al.*2022 · 1,444 citations*
12. [**End-to-end Neural Coreference Resolution**Kenton Lee, Luheng He, Mike Lewis, et al.*English · 1,284 citations*](https://md.research.elamur.ai/free/en/papers/lee-2017-end-end-neural-coreference-resolution/)
13. **[Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations ↗](https://aclanthology.org/P11-1055/) Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Raphael Hoffmann et al.*2011 · 1,099 citations*
14. [**Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars arXiv:1207.1420**Luke S. Zettlemoyer, Michael Collins*2012 · 1,085 citations*](https://md.research.elamur.ai/free/en/papers/zettlemoyer-2012-learning-map-sentences-logical-form/)
15. **[QuAC: Question Answering in Context](https://md.research.elamur.ai/free/en/papers/choi-2018-quac-question-answering-context/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Eunsol Choi, He He, Mohit Iyyer, et al.*2018 · 1,066 citations*
16. **[LIMA: Less Is More for Alignment ↗](https://arxiv.org/abs/2305.11206) arXiv:2305.11206 · no summary yet**Chunting Zhou et al.*2023 · 1,022 citations*
17. **[FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation](https://md.research.elamur.ai/free/en/papers/min-2023-factscore-fine-grained-atomic-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sewon Min, Kalpesh Krishna, Xinxi Lyu, et al.*2023 · 987 citations*
18. **[Adversarial Example Generation with Syntactically Controlled Paraphrase Networks](https://md.research.elamur.ai/free/en/papers/iyyer-2018-adversarial-example-generation-syntactically-controlled/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mohit Iyyer, John Wieting, Kevin Gimpel, et al.*2018 · 938 citations*
19. **[Zero-Shot Relation Extraction via Reading Comprehension](https://md.research.elamur.ai/free/en/papers/levy-2017-zero-shot-relation-extraction-reading/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Omer Levy, Minjoon Seo, Eunsol Choi, et al.*2017 · 806 citations*
20. **[Summarizing Source Code using a Neural Attention Model ↗](https://aclanthology.org/P16-1195/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Srinivasan Iyer et al.*2016 · 800 citations*
21. **[LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale ↗](https://arxiv.org/abs/2208.07339) arXiv:2208.07339 · no summary yet**Tim Dettmers et al.*2022 · 712 citations*
22. **[Mask-Predict: Parallel Decoding of Conditional Masked Language Models](https://md.research.elamur.ai/free/en/papers/ghazvininejad-2019-mask-predict-parallel-decoding-conditional/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Marjan Ghazvininejad, Omer Levy, Yinhan Liu, et al.*2019 · 684 citations*
23. **[Scalable Zero-shot Entity Linking with Dense Entity Retrieval](https://md.research.elamur.ai/free/en/papers/wu-2020-scalable-zero-shot-entity-linking/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ledell Wu, Fabio Petroni, Martin Josifoski, et al.*2020 · 619 citations*
24. **[Higher-Order Coreference Resolution with Coarse-to-Fine Inference](https://md.research.elamur.ai/free/en/papers/lee-2018-higher-order-coreference-resolution-coarse/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Kenton Lee, Luheng He, Luke Zettlemoyer*2018 · 614 citations*
25. **[Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions](https://md.research.elamur.ai/free/en/papers/artzi-2013-weakly-supervised-learning-semantic-parsers/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Yoav Artzi, Luke Zettlemoyer*2013 · 609 citations*
26. **[s1: Simple test-time scaling](https://md.research.elamur.ai/free/en/papers/muennighoff-2025-s1-simple-test-time-scaling/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Niklas Muennighoff, Zitong Yang, Weijia Shi, et al.*2025 · 608 citations*
27. [**Deep Semantic Role Labeling: What Works and What's Next**Luheng He, Kenton Lee, Mike Lewis, et al.*English · 596 citations*](https://md.research.elamur.ai/free/en/papers/he-2017-deep-semantic-role-labeling-what/)
28. **[Evaluating Gender Bias in Machine Translation](https://md.research.elamur.ai/free/en/papers/stanovsky-2019-evaluating-gender-bias-machine-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer*2019 · 593 citations*
29. **[Dissecting Contextual Word Embeddings: Architecture and Representation](https://md.research.elamur.ai/free/en/papers/peters-2018-dissecting-contextual-word-embeddings-architecture/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, et al.*2018 · 592 citations*
30. **[Online Learning of Relaxed CCG Grammars for Parsing to Logical Form ↗](https://aclanthology.org/D07-1071/) Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL) · no summary yet**Luke Zettlemoyer, Michael Collins*2007 · 547 citations*
31. **[Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning](https://md.research.elamur.ai/free/en/papers/aghajanyan-2021-intrinsic-dimensionality-explains-effectiveness-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Armen Aghajanyan, Sonal Gupta, Luke Zettlemoyer*2021 · 542 citations*
32. **[VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding ↗](https://aclanthology.org/2021.emnlp-main.544/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Hu Xu et al.*2021 · 511 citations*
33. **[Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases ↗](https://aclanthology.org/D19-1418/) 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 yet**Christopher Clark, Mark Yatskar, Luke Zettlemoyer*2019 · 509 citations*
34. **[Open question answering over curated and extracted knowledge bases ↗](https://doi.org/10.1145/2623330.2623677) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Anthony Fader, Luke Zettlemoyer, Oren Etzioni*2014 · 504 citations*
35. **[Learning to Automatically Solve Algebra Word Problems ↗](https://aclanthology.org/P14-1026/) Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Nate Kushman et al.*2014 · 493 citations*
36. [**REPLUG: Retrieval-Augmented Black-Box Language Models arXiv:2301.12652**Weijia Shi, Sewon Min, Michihiro Yasunaga, et al.*2023 · 492 citations*](https://md.research.elamur.ai/free/en/papers/shi-2023-replug-retrieval-augmented-black-box/)
37. **[BERT for Coreference Resolution: Baselines and Analysis](https://md.research.elamur.ai/free/en/papers/joshi-2019-bert-coreference-resolution-baselines-analysis/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mandar Joshi, Omer Levy, Luke Zettlemoyer, et al.*2019 · 490 citations*
38. **[Learning a Neural Semantic Parser from User Feedback ↗](https://aclanthology.org/P17-1089/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Srinivasan Iyer et al.*2017 · 472 citations*
39. **[Generalization through Memorization: Nearest Neighbor Language Models ↗](https://arxiv.org/abs/1911.00172) arXiv:1911.00172 · no summary yet**Urvashi Khandelwal et al.*2019 · 464 citations*
40. **[Paraphrase-Driven Learning for Open Question Answering](https://md.research.elamur.ai/free/en/papers/fader-2013-paraphrase-driven-learning-open-question/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Anthony Fader, Luke Zettlemoyer, Oren Etzioni*2013 · 444 citations*
41. **[AmbigQA: Answering Ambiguous Open-domain Questions ↗](https://aclanthology.org/2020.emnlp-main.466/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Sewon Min et al.*2020 · 437 citations*
42. **[OLMo: Accelerating the Science of Language Models ↗](https://aclanthology.org/2024.acl-long.841/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Dirk Groeneveld et al.*2024 · 429 citations*
43. [**Neural AMR: Sequence-to-Sequence Models for Parsing and Generation**Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, et al.*Machine translation · 425 citations*](https://md.research.elamur.ai/free/en/papers/konstas-2017-neural-amr-sequence-sequence-models/)
44. **[Supervised Open Information Extraction ↗](https://aclanthology.org/N18-1081/) Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yet**Gabriel Stanovsky et al.*2018 · 390 citations*
45. **[Emerging Cross-lingual Structure in Pretrained Language Models](https://md.research.elamur.ai/free/en/papers/conneau-2020-emerging-cross-lingual-structure-pretrained/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Alexis Conneau, Shijie Wu, Haoran Li, et al.*2020 · 382 citations*
46. **[Scaling Semantic Parsers with On-the-Fly Ontology Matching](https://md.research.elamur.ai/free/en/papers/kwiatkowski-2013-scaling-semantic-parsers-fly-ontology/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tom Kwiatkowski, Eunsol Choi, Yoav Artzi, et al.*2013 · 363 citations*
47. **[Learning to Parse Natural Language Commands to a Robot Control System ↗](https://doi.org/10.1007/978-3-319-00065-7_28) Springer tracts in advanced robotics · no summary yet**Cynthia Matuszek et al.*2013 · 362 citations*
48. **[Inducing Probabilistic CCG Grammars from Logical Form with Higher-Order Unification ↗](https://aclanthology.org/D10-1119/) Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing · no summary yet**Tom Kwiatkowksi et al.*2010 · 360 citations*
49. **[Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research ↗](https://aclanthology.org/2024.acl-long.840/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Luca Soldaini et al.*2024 · 341 citations*
50. **[Reinforcement Learning for Mapping Instructions to Actions ↗](https://aclanthology.org/P09-1010/) 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**S.R.K. Branavan et al.*2009 · 340 citations*
51. [**Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language**Luheng He, Mike Lewis, Luke Zettlemoyer*English · 327 citations*](https://md.research.elamur.ai/free/en/papers/he-2015-question-answer-driven-semantic-role/)
52. **[MetaICL: Learning to Learn In Context ↗](https://arxiv.org/abs/2110.15943) arXiv:2110.15943 · no summary yet**Sewon Min et al.*2021 · 315 citations*
53. **[Multi-hop Reading Comprehension through Question Decomposition and Rescoring](https://md.research.elamur.ai/free/en/papers/min-2019-multi-hop-reading-comprehension-through/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sewon Min, Victor Zhong, Luke Zettlemoyer, et al.*2019 · 312 citations*
54. **[Ultra-Fine Entity Typing ↗](https://aclanthology.org/P18-1009/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Eunsol Choi et al.*2018 · 310 citations*
55. **[Situation Recognition: Visual Semantic Role Labeling for Image Understanding ↗](https://doi.org/10.1109/cvpr.2016.597) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Mark Yatskar, Luke Zettlemoyer, Ali Farhadi*2016 · 310 citations*
56. **[Muppet: Massive Multi-task Representations with Pre-Finetuning](https://md.research.elamur.ai/free/en/papers/aghajanyan-2021-muppet-massive-multi-task-representations/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, et al.*2021 · 307 citations*
57. **[Globally Coherent Text Generation with Neural Checklist Models](https://md.research.elamur.ai/free/en/papers/kiddon-2016-globally-coherent-text-generation-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chloé Kiddon, Luke Zettlemoyer, Yejin Choi*2016 · 304 citations*
58. **[InCoder: A Generative Model for Code Infilling and Synthesis ↗](https://arxiv.org/abs/2204.05999) arXiv:2204.05999 · no summary yet**Daniel Fried et al.*2023 · 300 citations*
59. [**Cloze-driven Pretraining of Self-attention Networks arXiv:1903.07785**Alexei Baevski, Sergey Edunov, Yinhan Liu, et al.*2019 · 286 citations*](https://md.research.elamur.ai/free/en/papers/baevski-2019-cloze-driven-pretraining-self-attention/)
60. **[Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling](https://md.research.elamur.ai/free/en/papers/he-2018-jointly-predicting-predicates-arguments-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Luheng He, Kenton Lee, Omer Levy, et al.*2018 · 285 citations*
61. **[Lexical Generalization in CCG Grammar Induction for Semantic Parsing](https://md.research.elamur.ai/free/en/papers/kwiatkowski-2011-lexical-generalization-ccg-grammar-induction/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tom Kwiatkowski, Luke Zettlemoyer, Sharon Goldwater, et al.*2011 · 285 citations*
62. **[Surface Form Competition: Why the Highest Probability Answer Isn't Always Right](https://md.research.elamur.ai/free/en/papers/holtzman-2021-surface-form-competition-why-highest/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ari Holtzman, Peter West, Vered Shwartz, et al.*2021 · 277 citations*
63. **[Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters](https://md.research.elamur.ai/free/en/papers/wang-2023-understanding-chain-thought-prompting-empirical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Boshi Wang, Sewon Min, Xiang Deng, et al.*2023 · 272 citations*
64. **[2 OLMo 2 Furious ↗](https://arxiv.org/abs/2501.00656) arXiv:2501.00656 · no summary yet**Team OLMo et al.*2025 · 262 citations*
65. **[The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants](https://md.research.elamur.ai/free/en/papers/bandarkar-2023-belebele-benchmark-parallel-reading-comprehension/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lucas Bandarkar, Davis Liang, Benjamin Muller, et al.*2023 · 262 citations*
66. **[A Joint Model of Language and Perception for Grounded Attribute Learning ↗](https://doi.org/10.13016/m2ehu6-1m90) arXiv (Cornell University) · no summary yet**Cynthia Matuszek et al.*2012 · 261 citations*
67. **[Mapping Language to Code in Programmatic Context](https://md.research.elamur.ai/free/en/papers/iyer-2018-mapping-language-code-programmatic-context/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, et al.*2018 · 260 citations*
68. [**Contrastive Decoding: Open-ended Text Generation as Optimization arXiv:2210.15097**Xiang Lisa Li, Ari Holtzman, Daniel Fried, et al.*2022 · 253 citations*](https://md.research.elamur.ai/free/en/papers/li-2022-contrastive-decoding-open-ended-text/)
69. **[Trusting Your Evidence: Hallucinate Less with Context-aware Decoding](https://md.research.elamur.ai/free/en/papers/shi-2024-trusting-your-evidence-hallucinate-less/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Weijia Shi, Xiaochuang Han, Mike Lewis, et al.*2024 · 249 citations*
70. **[Learning Context-Dependent Mappings from Sentences to Logical Form](https://md.research.elamur.ai/free/en/papers/zettlemoyer-2009-learning-context-dependent-mappings-sentences/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Luke Zettlemoyer, Michael Collins*2009 · 246 citations*
71. **[In-context Examples Selection for Machine Translation](https://md.research.elamur.ai/free/en/papers/agrawal-2023-context-examples-selection-machine-translation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sweta Agrawal, Chunting Zhou, Mike Lewis, et al.*2023 · 243 citations*
72. **[Noisy Channel Language Model Prompting for Few-Shot Text Classification](https://md.research.elamur.ai/free/en/papers/min-2021-noisy-channel-language-model-prompting/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sewon Min, Mike Lewis, Hannaneh Hajishirzi, et al.*2021 · 243 citations*
73. **[A Discrete Hard EM Approach for Weakly Supervised Question Answering](https://md.research.elamur.ai/free/en/papers/min-2019-discrete-hard-em-approach-weakly/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sewon Min, Danqi Chen, Hannaneh Hajishirzi, et al.*2019 · 237 citations*
74. **[Compositional Questions Do Not Necessitate Multi-hop Reasoning](https://md.research.elamur.ai/free/en/papers/min-2019-compositional-questions-do-not-necessitate/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sewon Min, Eric Wallace, Sameer Singh, et al.*2019 · 235 citations*
75. **[Detecting Hallucinated Content in Conditional Neural Sequence Generation](https://md.research.elamur.ai/free/en/papers/zhou-2021-detecting-hallucinated-content-conditional-neural/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chunting Zhou, Graham Neubig, Jiatao Gu, et al.*2021 · 232 citations*
76. **[Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders](https://md.research.elamur.ai/free/en/papers/blevins-2020-moving-down-long-tail-word/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Terra Blevins, Luke Zettlemoyer*2020 · 232 citations*
77. **[Broad-coverage CCG Semantic Parsing with AMR](https://md.research.elamur.ai/free/en/papers/artzi-2015-broad-coverage-ccg-semantic-parsing/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yoav Artzi, Kenton Lee, Luke Zettlemoyer*2015 · 229 citations*
78. **[Detecting Pretraining Data from Large Language Models ↗](https://arxiv.org/abs/2310.16789) arXiv:2310.16789 · no summary yet**Weijia Shi et al.*2023 · 224 citations*
79. [**Demystifying Prompts in Language Models via Perplexity Estimation arXiv:2212.04037**Hila Gonen, Srini Iyer, Terra Blevins, et al.*2022 · 213 citations*](https://md.research.elamur.ai/free/en/papers/gonen-2022-demystifying-prompts-language-models-perplexity/)
80. **[Selective Annotation Makes Language Models Better Few-Shot Learners ↗](https://arxiv.org/abs/2209.01975) arXiv:2209.01975 · no summary yet**Hongjin Su et al.*2022 · 211 citations*
81. **[A Generative Model for Parsing Natural Language to Meaning Representations](https://md.research.elamur.ai/free/en/papers/lu-2008-generative-model-parsing-natural-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wei Lu, Hwee Tou Ng, Wee Sun Lee, et al.*2008 · 210 citations*
82. **[Sparse Networks from Scratch: Faster Training without Losing Performance ↗](https://arxiv.org/abs/1907.04840) arXiv (Cornell University) · no summary yet**Tim Dettmers, Luke Zettlemoyer*2019 · 201 citations*
83. **[Improving Passage Retrieval with Zero-Shot Question Generation](https://md.research.elamur.ai/free/en/papers/sachan-2022-improving-passage-retrieval-zero-shot/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Devendra Sachan, Mike Lewis, Mandar Joshi, et al.*2022 · 199 citations*
84. **[DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation ↗](https://arxiv.org/abs/2211.11501) arXiv:2211.11501 · no summary yet**Yuhang Lai et al.*2022 · 199 citations*
85. **[Neural Metaphor Detection in Context](https://md.research.elamur.ai/free/en/papers/gao-2018-neural-metaphor-detection-context/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ge Gao, Eunsol Choi, Yejin Choi, et al.*2018 · 198 citations*
86. **[Vision-and-Dialog Navigation ↗](https://arxiv.org/abs/1907.04957) arXiv:1907.04957 · no summary yet**Jesse Thomason et al.*2019 · 196 citations*
87. [**One Embedder, Any Task: Instruction-Finetuned Text Embeddings arXiv:2212.09741**Hongjin Su, Weijia Shi, Jungo Kasai, et al.*2022 · 194 citations*](https://md.research.elamur.ai/free/en/papers/su-2022-one-embedder-any-task-instruction/)
88. **[Nearest Neighbor Machine Translation ↗](https://arxiv.org/abs/2010.00710) arXiv (Cornell University) · no summary yet**Urvashi Khandelwal et al.*2020 · 193 citations*
89. **[Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models](https://md.research.elamur.ai/free/en/papers/tirumala-2022-memorization-overfitting-analyzing-training-dynamics/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Kushal Tirumala, Aram H. Markosyan, Luke Zettlemoyer, et al.*2022 · 190 citations*
90. **[Bootstrapping Semantic Parsers from Conversations ↗](https://aclanthology.org/D11-1039/) Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yoav Artzi, Luke Zettlemoyer*2011 · 188 citations*
91. [**Pre-training via Paraphrasing arXiv:2006.15020**Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, et al.*2020 · 187 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2020-pre-training-paraphrasing/)
92. **[Learning Symbolic Models of Stochastic Domains ↗](https://doi.org/10.1613/jair.2113) Journal of Artificial Intelligence Research · no summary yet**Hanna Pasula, Luke Zettlemoyer, Leslie Pack Kaelbling*2007 · 187 citations*
93. [**8-bit Optimizers via Block-wise Quantization arXiv:2110.02861**Tim Dettmers, Mike Lewis, Sam Shleifer, et al.*2021 · 181 citations*](https://md.research.elamur.ai/free/en/papers/dettmers-2021-8-bit-optimizers-block-wise/)
94. **[Deep RNNs Encode Soft Hierarchical Syntax](https://md.research.elamur.ai/free/en/papers/blevins-2018-deep-rnns-encode-soft-hierarchical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Terra Blevins, Omer Levy, Luke Zettlemoyer*2018 · 179 citations*
95. [**BASE Layers: Simplifying Training of Large, Sparse Models arXiv:2103.16716**Mike Lewis, Shruti Bhosale, Tim Dettmers, et al.*2021 · 177 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2021-base-layers-simplifying-training-large/)
96. [**Binding Language Models in Symbolic Languages arXiv:2210.02875**Zhoujun Cheng, Tianbao Xie, Peng Shi, et al.*2022 · 170 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2022-binding-language-models-symbolic-languages/)
97. **[Transformers with convolutional context for ASR ↗](https://arxiv.org/abs/1904.11660) arXiv (Cornell University) · no summary yet**Abdelrahman Mohamed, Dmytro Okhonko, Luke Zettlemoyer*2019 · 162 citations*
98. [**ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning arXiv:2212.07919**Olga Golovneva, Moya Chen, Spencer Poff, et al.*2022 · 155 citations*](https://md.research.elamur.ai/free/en/papers/golovneva-2022-roscoe-suite-metrics-scoring-step/)
99. [**ART: Automatic multi-step reasoning and tool-use for large language models arXiv:2303.09014**Bhargavi Paranjape, Scott Lundberg, Sameer Singh, et al.*2023 · 154 citations*](https://md.research.elamur.ai/free/en/papers/paranjape-2023-art-automatic-multi-step-reasoning/)
100. **[Multilingual Autoregressive Entity Linking](https://md.research.elamur.ai/free/en/papers/cao-2022-multilingual-autoregressive-entity-linking/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Nicola De Cao, Ledell Wu, Kashyap Popat, et al.*2022 · 153 citations*

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