---
title: "Percy Liang — all works — Elamur Research"
description: "All 356 works of Percy Liang 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/percy-liang/works/"
---
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# Percy Liang — all works

356 works · page 1 of 4 · 1–100 · [← Percy Liang](https://md.research.elamur.ai/free/en/authors/percy-liang/)

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1. **[SQuAD: 100,000+ Questions for Machine Comprehension of Text](https://md.research.elamur.ai/free/en/papers/rajpurkar-2016-squad-100-000-questions-machine/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, et al.*2016 · 9,621 citations*
2. **[Prefix-Tuning: Optimizing Continuous Prompts for Generation ↗](https://aclanthology.org/2021.acl-long.353/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Xiang Lisa Li, Percy Liang*2021 · 3,794 citations*
3. **[Know What You Don't Know: Unanswerable Questions for SQuAD](https://md.research.elamur.ai/free/en/papers/rajpurkar-2018-know-what-you-don-t/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pranav Rajpurkar, Robin Jia, Percy Liang*2018 · 3,405 citations*
4. **[Generative Agents: Interactive Simulacra of Human Behavior ↗](https://arxiv.org/abs/2304.03442) arXiv:2304.03442 · no summary yet**Joon Sung Park et al.*2023 · 2,866 citations*
5. **[Lost in the Middle: How Language Models Use Long Contexts](https://md.research.elamur.ai/free/en/papers/liu-2023-lost-middle-language-models-use/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Nelson F. Liu, Kevin Lin, John Hewitt, et al.*2023 · 2,584 citations*
6. **[Semantic Parsing on Freebase from Question-Answer Pairs](https://md.research.elamur.ai/free/en/papers/berant-2013-semantic-parsing-freebase-question-answer/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jonathan Berant, Andrew Chou, Roy Frostig, et al.*2013 · 2,331 citations*
7. [**Adversarial Examples for Evaluating Reading Comprehension Systems**Robin Jia, Percy Liang*English · 1,969 citations*](https://md.research.elamur.ai/free/en/papers/jia-2017-adversarial-examples-evaluating-reading-comprehension/)
8. [**Understanding Black-box Predictions via Influence Functions arXiv:1703.04730**Pang Wei Koh, Percy Liang*2017 · 1,514 citations*](https://md.research.elamur.ai/free/en/papers/koh-2017-understanding-black-box-predictions-influence/)
9. **[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*
10. **[Holistic Evaluation of Language Models ↗](https://arxiv.org/abs/2211.09110) arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023 · no summary yet**Percy Liang et al.*2022 · 1,001 citations*
11. **[Compositional Semantic Parsing on Semi-Structured Tables](https://md.research.elamur.ai/free/en/papers/pasupat-2015-compositional-semantic-parsing-semi-structured/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Panupong Pasupat, Percy Liang*2015 · 918 citations*
12. **[Learning Dependency-Based Compositional Semantics ↗](https://aclanthology.org/P11-1060/) Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Percy Liang, Michael Jordan, Dan Klein*2011 · 797 citations*
13. **[Designing and Interpreting Probes with Control Tasks ↗](https://aclanthology.org/D19-1275/) 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**John Hewitt, Percy Liang*2019 · 746 citations*
14. **[QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering ↗](https://aclanthology.org/2021.naacl-main.45/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Michihiro Yasunaga et al.*2021 · 742 citations*
15. **[Semantic Parsing via Paraphrasing](https://md.research.elamur.ai/free/en/papers/berant-2014-semantic-parsing-paraphrasing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jonathan Berant, Percy Liang*2014 · 686 citations*
16. **[Benchmarking Large Language Models for News Summarization](https://md.research.elamur.ai/free/en/papers/zhang-2024-benchmarking-large-language-models-news/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tianyi Zhang, Faisal Ladhak, Esin Durmus, et al.*2024 · 671 citations*
17. **[Data Recombination for Neural Semantic Parsing ↗](https://aclanthology.org/P16-1002/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Robin Jia, Percy Liang*2016 · 658 citations*
18. **[Alignment by Agreement](https://md.research.elamur.ai/free/en/papers/liang-2006-alignment-agreement/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Percy Liang, Ben Taskar, Dan Klein*2006 · 653 citations*
19. **[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*
20. **[Certified Defenses against Adversarial Examples ↗](https://arxiv.org/abs/1801.09344) arXiv (Cornell University) · no summary yet**Aditi Raghunathan, Jacob Steinhardt, Percy Liang*2018 · 550 citations*
21. **[Building a Semantic Parser Overnight ↗](https://aclanthology.org/P15-1129/) Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Yushi Wang, Jonathan Berant, Percy Liang*2015 · 480 citations*
22. **[LinkBERT: Pretraining Language Models with Document Links](https://md.research.elamur.ai/free/en/papers/yasunaga-2022-linkbert-pretraining-language-models-document/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michihiro Yasunaga, Jure Leskovec, Percy Liang*2022 · 458 citations*
23. **[Learning Semantic Correspondences with Less Supervision](https://md.research.elamur.ai/free/en/papers/liang-2009-learning-semantic-correspondences-less-supervision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Percy Liang, Michael Jordan, Dan Klein*2009 · 458 citations*
24. **[AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback](https://md.research.elamur.ai/free/en/papers/dubois-2023-alpacafarm-simulation-framework-methods-that/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yann Dubois, Xuechen Li, Rohan Taori, et al.*2023 · 456 citations*
25. [**Diffusion-LM Improves Controllable Text Generation arXiv:2205.14217**Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, et al.*2022 · 440 citations*](https://md.research.elamur.ai/free/en/papers/li-2022-diffusion-lm-improves-controllable-text/)
26. **[Semi-Supervised Learning for Natural Language ↗](https://dspace.mit.edu/handle/1721.1/33296) M.Eng. thesis, Massachusetts Institute of Technology · no summary yet**Percy Liang*2005 · 434 citations*
27. **[Learning Bilingual Lexicons from Monolingual Corpora](https://md.research.elamur.ai/free/en/papers/haghighi-2008-learning-bilingual-lexicons-monolingual-corpora/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aria Haghighi, Percy Liang, Taylor Berg-Kirkpatrick, et al.*2008 · 431 citations*
28. **[Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization ↗](https://arxiv.org/abs/1911.08731) arXiv (Cornell University) · no summary yet**Shiori Sagawa et al.*2019 · 430 citations*
29. **[Generating Sentences by Editing Prototypes](https://md.research.elamur.ai/free/en/papers/guu-2017-generating-sentences-editing-prototypes/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren, et al.*2017 · 425 citations*
30. **[CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities ↗](https://doi.org/10.1145/3491102.3502030) arXiv:2201.06796 · no summary yet**Mina Lee, Percy Liang, Qian Yang*2022 · 423 citations*
31. [**Whose Opinions Do Language Models Reflect? arXiv:2303.17548**Shibani Santurkar, Esin Durmus, Faisal Ladhak, et al.*2023 · 414 citations*](https://md.research.elamur.ai/free/en/papers/santurkar-2023-whose-opinions-language-models-reflect/)
32. **[Traversing Knowledge Graphs in Vector Space ↗](https://aclanthology.org/D15-1038/) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yet**Kelvin Guu, John Miller, Percy Liang*2015 · 406 citations*
33. **[WILDS: A Benchmark of in-the-Wild Distribution Shifts ↗](https://arxiv.org/abs/2012.07421) CaltechAUTHORS (California Institute of Technology) · no summary yet**Pang Wei Koh et al.*2020 · 405 citations*
34. [**FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU arXiv:2303.06865**Ying Sheng, Lianmin Zheng, Binhang Yuan, et al.*2023 · 402 citations*](https://md.research.elamur.ai/free/en/papers/sheng-2023-flexgen-high-throughput-generative-inference/)
35. **[An End-to-End Discriminative Approach to Machine Translation ↗](https://aclanthology.org/P06-1096/) Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics · no summary yet**Percy Liang et al.*2006 · 391 citations*
36. [**Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer**Juncen Li, Robin Jia, He He, et al.*Machine translation · 351 citations*](https://md.research.elamur.ai/free/en/papers/li-2018-delete-retrieve-generate-simple-approach/)
37. **[Certified Robustness to Adversarial Word Substitutions](https://md.research.elamur.ai/free/en/papers/jia-2019-certified-robustness-adversarial-word-substitutions/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Robin Jia, Aditi Raghunathan, Kerem Göksel, et al.*2019 · 340 citations*
38. **[Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators ↗](https://arxiv.org/abs/2404.04475) arXiv:2404.04475 · no summary yet**Yann Dubois et al.*2024 · 310 citations*
39. **[Social Simulacra: Creating Populated Prototypes for Social Computing Systems ↗](https://arxiv.org/abs/2208.04024) arXiv:2208.04024 · no summary yet**Joon Sung Park et al.*2022 · 310 citations*
40. **[Evaluating Verifiability in Generative Search Engines](https://md.research.elamur.ai/free/en/papers/liu-2023-evaluating-verifiability-generative-search-engines/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nelson Liu, Tianyi Zhang, Percy Liang*2023 · 302 citations*
41. [**An Explanation of In-context Learning as Implicit Bayesian Inference arXiv:2111.02080**Sang Michael Xie, Aditi Raghunathan, Percy Liang, et al.*2021 · 286 citations*](https://md.research.elamur.ai/free/en/papers/xie-2021-explanation-context-learning-implicit-bayesian/)
42. **[Dropout Training as Adaptive Regularization ↗](https://arxiv.org/abs/1307.1493) arXiv (Cornell University) · no summary yet**Stefan Wager, Sida Wang, Percy Liang*2013 · 271 citations*
43. **[A Simple Domain-Independent Probabilistic Approach to Generation](https://md.research.elamur.ai/free/en/papers/angeli-2010-simple-domain-independent-probabilistic-approach/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Gabor Angeli, Percy Liang, Dan Klein*2010 · 264 citations*
44. **[Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings ↗](https://aclanthology.org/P17-1162/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**He He et al.*2017 · 258 citations*
45. **[OpenVLA: An Open-Source Vision-Language-Action Model ↗](https://arxiv.org/abs/2406.09246) arXiv:2406.09246 · no summary yet**Moo Jin Kim et al.*2024 · 254 citations*
46. **[Fairness Without Demographics in Repeated Loss Minimization ↗](https://arxiv.org/abs/1806.08010) arXiv (Cornell University) · no summary yet**Tatsunori Hashimoto et al.*2018 · 254 citations*
47. [**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/)
48. **[Selective Question Answering under Domain Shift ↗](https://aclanthology.org/2020.acl-main.503/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Amita Kamath, Robin Jia, Percy Liang*2020 · 253 citations*
49. **[Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution ↗](https://arxiv.org/abs/2202.10054) arXiv (Cornell University) · no summary yet**Ananya Kumar et al.*2022 · 248 citations*
50. **[Online EM for Unsupervised Models ↗](https://aclanthology.org/N09-1069/) Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics · no summary yet**Percy Liang, Dan Klein*2009 · 242 citations*
51. **[Decoupling Strategy and Generation in Negotiation Dialogues](https://md.research.elamur.ai/free/en/papers/he-2018-decoupling-strategy-generation-negotiation-dialogues/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**He He, Derek Chen, Anusha Balakrishnan, et al.*2018 · 236 citations*
52. **[From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood](https://md.research.elamur.ai/free/en/papers/guu-2017-language-programs-bridging-reinforcement-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kelvin Guu, Panupong Pasupat, Evan Liu, et al.*2017 · 236 citations*
53. **[Learning a SAT Solver from Single-Bit Supervision ↗](https://arxiv.org/abs/1802.03685) arXiv:1802.03685 · no summary yet**Daniel Selsam et al.*2018 · 232 citations*
54. **[Strategies for Pre-training Graph Neural Networks ↗](https://arxiv.org/abs/1905.12265) arXiv (Cornell University) · no summary yet**Weihua Hu et al.*2019 · 228 citations*
55. [**Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP arXiv:2212.14024**Omar Khattab, Keshav Santhanam, Xiang Lisa Li, et al.*2022 · 222 citations*](https://md.research.elamur.ai/free/en/papers/khattab-2022-demonstrate-search-predict-composing-retrieval/)
56. **[Transforming Question Answering Datasets Into Natural Language Inference Datasets ↗](https://arxiv.org/abs/1809.02922) arXiv:1809.02922 · no summary yet**Dorottya Demszky, Kelvin Guu, Percy Liang*2018 · 220 citations*
57. **[What Can Transformers Learn In-Context? A Case Study of Simple Function Classes ↗](https://arxiv.org/abs/2208.01066) arXiv:2208.01066 · no summary yet**Shivam Garg et al.*2022 · 209 citations*
58. **[Enabling Language Models to Fill in the Blanks](https://md.research.elamur.ai/free/en/papers/donahue-2020-enabling-language-models-fill-blanks/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chris Donahue, Mina Lee, Percy Liang*2020 · 209 citations*
59. **[Concept Bottleneck Models ↗](https://arxiv.org/abs/2007.04612) arXiv (Cornell University) · no summary yet**Pang Wei Koh et al.*2020 · 206 citations*
60. **[The Infinite PCFG Using Hierarchical Dirichlet Processes ↗](https://aclanthology.org/D07-1072/) Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL) · no summary yet**Percy Liang et al.*2007 · 203 citations*
61. **[Semidefinite relaxations for certifying robustness to adversarial examples ↗](https://arxiv.org/abs/1811.01057) arXiv (Cornell University) · no summary yet**Aditi Raghunathan, Jacob Steinhardt, Percy Liang*2018 · 201 citations*
62. **[Stronger data poisoning attacks break data sanitization defenses ↗](https://doi.org/10.1007/s10994-021-06119-y) Machine Learning · no summary yet**Pang Wei Koh, Jacob Steinhardt, Percy Liang*2018 · 200 citations*
63. **[Learning Language Games through Interaction ↗](https://aclanthology.org/P16-1224/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Sida I. Wang, Percy Liang, Christopher D. Manning*2016 · 194 citations*
64. **[Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases ↗](https://doi.org/10.1145/3442381.3449992) arXiv:2011.07743 · no summary yet**Yu Gu et al.*2020 · 183 citations*
65. **[Deep Bidirectional Language-Knowledge Graph Pretraining ↗](https://doi.org/10.52202/068431-2704) neural information processing systems · no summary yet**Michihiro Yasunaga et al.*2022 · 182 citations*
66. **[Verified Uncertainty Calibration ↗](https://arxiv.org/abs/1909.10155) arXiv:1909.10155 · no summary yet**Ananya Kumar, Percy Liang, Tengyu Ma*2019 · 172 citations*
67. **[A Game-Theoretic Approach to Generating Spatial Descriptions ↗](https://aclanthology.org/D10-1040/) Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing · no summary yet**Dave Golland, Percy Liang, Dan Klein*2010 · 170 citations*
68. **[Large Language Models Can Be Strong Differentially Private Learners ↗](https://arxiv.org/abs/2110.05679) arXiv (Cornell University) · no summary yet**Xuechen Li et al.*2021 · 166 citations*
69. **[Lambda Dependency-Based Compositional Semantics ↗](https://arxiv.org/abs/1309.4408) arXiv:1309.4408 · no summary yet**Percy Liang*2013 · 166 citations*
70. **[A Retrieve-and-Edit Framework for Predicting Structured Outputs ↗](https://arxiv.org/abs/1812.01194) arXiv (Cornell University) · no summary yet**Tatsunori Hashimoto et al.*2018 · 164 citations*
71. **[Distributionally Robust Neural Networks ↗](https://openalex.org/W2995793065) International Conference on Learning Representations · no summary yet**Shiori Sagawa et al.*2020 · 161 citations*
72. **[DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining ↗](https://arxiv.org/abs/2305.10429) arXiv:2305.10429 · no summary yet**Sang Michael Xie et al.*2023 · 156 citations*
73. **[Training Classifiers with Natural Language Explanations ↗](https://aclanthology.org/P18-1175/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Braden Hancock et al.*2018 · 152 citations*
74. **[Learning Executable Semantic Parsers for Natural Language Understanding ↗](https://arxiv.org/abs/1603.06677) arXiv:1603.06677 · no summary yet**Percy Liang*2016 · 150 citations*
75. **[Distributionally Robust Language Modeling ↗](https://aclanthology.org/D19-1432/) 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**Yonatan Oren et al.*2019 · 149 citations*
76. **[The price of debiasing automatic metrics in natural language evalaution ↗](https://aclanthology.org/P18-1060/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Arun Chaganty, Stephen Mussmann, Percy Liang*2018 · 149 citations*
77. **[Selection via Proxy: Efficient Data Selection for Deep Learning ↗](https://arxiv.org/abs/1906.11829) arXiv (Cornell University) · no summary yet**Cody Coleman et al.*2019 · 148 citations*
78. [**MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation arXiv:2310.03302**Qian Huang, Jian Vora, Percy Liang, et al.*2023 · 147 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-mlagentbench-evaluating-language-agents/)
79. **[An Investigation of Why Overparameterization Exacerbates Spurious Correlations ↗](https://arxiv.org/abs/2005.04345) arXiv (Cornell University) · no summary yet**Shiori Sagawa et al.*2020 · 147 citations*
80. **[Simpler Context-Dependent Logical Forms via Model Projections ↗](https://arxiv.org/abs/1606.05378) arXiv:1606.05378 · no summary yet**Reginald Long, Panupong Pasupat, Percy Liang*2016 · 145 citations*
81. **[Unifying Human and Statistical Evaluation for Natural Language Generation ↗](https://arxiv.org/abs/1904.02792) arXiv:1904.02792 · no summary yet**Tatsunori B. Hashimoto, Hugh Zhang, Percy Liang*2019 · 143 citations*
82. **[Adversarial Training Can Hurt Generalization ↗](https://arxiv.org/abs/1906.06032) arXiv (Cornell University) · no summary yet**Aditi Raghunathan et al.*2019 · 139 citations*
83. **[A Data Driven Approach for Algebraic Loop Invariants ↗](https://doi.org/10.1007/978-3-642-37036-6_31) Lecture notes in computer science · no summary yet**Rahul R. Sharma et al.*2013 · 138 citations*
84. **[Data Selection for Language Models via Importance Resampling ↗](https://arxiv.org/abs/2302.03169) arXiv:2302.03169 · no summary yet**Sang Michael Xie et al.*2023 · 137 citations*
85. **[Learning from measurements in exponential families ↗](https://doi.org/10.1145/1553374.1553457) International Conference on Machine Learning · no summary yet**Percy Liang, Michael I. Jordan, Dan Klein*2009 · 137 citations*
86. **[World of Bits: An Open-Domain Platform for Web-Based Agents ↗](https://openalex.org/W2741548518) International Conference on Machine Learning · no summary yet**Tianlin Shi et al.*2017 · 135 citations*
87. **[Foundation Models and Fair Use ↗](https://doi.org/10.2139/ssrn.4404340) SSRN Electronic Journal · no summary yet**Peter B. Henderson et al.*2023 · 134 citations*
88. **[Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success ↗](https://doi.org/10.15607/rss.2025.xxi.017) no summary yet**Moo Jin Kim, Chelsea Finn, Percy Liang*2025 · 132 citations*
89. **[Robust Encodings: A Framework for Combating Adversarial Typos ↗](https://aclanthology.org/2020.acl-main.245/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Erik Jones et al.*2020 · 126 citations*
90. **[Just Train Twice: Improving Group Robustness without Training Group Information ↗](https://arxiv.org/abs/2107.09044) arXiv (Cornell University) · no summary yet**Evan Zheran Liu et al.*2021 · 125 citations*
91. **[LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals ↗](https://arxiv.org/abs/2411.10109) arXiv:2411.10109 · no summary yet**Joon Sung Park et al.*2024 · 119 citations*
92. **[Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration ↗](https://arxiv.org/abs/1802.08802) arXiv:1802.08802 · no summary yet**Evan Zheran Liu et al.*2018 · 119 citations*
93. **[An asymptotic analysis of generative, discriminative, and pseudolikelihood estimators ↗](https://doi.org/10.1145/1390156.1390230) International Conference on Machine Learning · no summary yet**Percy Liang, Michael I. Jordan*2008 · 117 citations*
94. **[Contrastive Decoding: Open-ended Text Generation as Optimization ↗](https://aclanthology.org/2023.acl-long.687/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Xiang Lisa Li et al.*2023 · 114 citations*
95. **[Robust Distortion-free Watermarks for Language Models ↗](https://arxiv.org/abs/2307.15593) arXiv:2307.15593 · no summary yet**Rohith Kuditipudi et al.*2023 · 110 citations*
96. **[Evaluating Human-Language Model Interaction ↗](https://arxiv.org/abs/2212.09746) arXiv (Cornell University) · no summary yet**Mina Lee et al.*2022 · 110 citations*
97. **[Graph-based, Self-Supervised Program Repair from Diagnostic Feedback ↗](https://arxiv.org/abs/2005.10636) arXiv:2005.10636 · no summary yet**Michihiro Yasunaga, Percy Liang*2020 · 107 citations*
98. **[GreaseLM: Graph REASoning Enhanced Language Models for Question Answering ↗](https://arxiv.org/abs/2201.08860) arXiv (Cornell University) · no summary yet**Xikun Zhang et al.*2022 · 106 citations*
99. **[Pun Generation with Surprise ↗](https://aclanthology.org/N19-1172/) 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**He He, Nanyun Peng, Percy Liang*2019 · 106 citations*
100. **[Retrieval-Augmented Multimodal Language Modeling ↗](https://arxiv.org/abs/2211.12561) arXiv:2211.12561 · no summary yet**Michihiro Yasunaga et al.*2022 · 104 citations*

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