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Percy Liang — all works

356 works · page 3 of 4 · 201–300 · ← Percy Liang

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  1. Instruction Following without Instruction Tuning ↗arXiv (Cornell University) · no summary yetJohn Hewitt et al.2024 · 17 citations
  2. Defending against Whitebox Adversarial Attacks via Randomized Discretization ↗arXiv (Cornell University) · no summary yetYuchen Zhang, Percy Liang2019 · 17 citations
  3. Efficient geometric algorithms for parsing in two dimensions ↗Proceedings of the International Conference on Document Analysis and Recognition · no summary yetPercy Liang et al.2005 · 17 citations
  4. Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetYuhui Zhang et al.2023 · 16 citations
  5. Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning ↗arXiv (Cornell University) · no summary yetShibani Santurkar et al.2022 · 15 citations
  6. Selective Classification Can Magnify Disparities Across Groups ↗arXiv (Cornell University) · no summary yetErik Jones et al.2020 · 15 citations
  7. Learning Where to Sample in Structured Prediction ↗no summary yetTianlin Shi, Jacob Steinhardt, Percy Liang2015 · 15 citations
  8. Learning with relaxed supervision ↗neural information processing systems · no summary yetJacob Steinhardt, Percy Liang2015 · 15 citations
  9. The Foundation Model Transparency Index v1.1: May 2024 ↗arXiv (Cornell University) · no summary yetRishi Bommasani et al.2024 · 14 citations
  10. Has the Machine Learning Review Process Become More Arbitrary as the Field Has Grown? The NeurIPS 2021 Consistency Experiment ↗arXiv (Cornell University) · no summary yetAlina Beygelzimer et al.2023 · 14 citations
  11. CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks ↗Rare & Special e-Zone (The Hong Kong University of Science and Technology) · no summary yetBeidi Chen et al.2023 · 14 citations
  12. Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices ↗arXiv (Cornell University) · no summary yetEvan Zheran Liu et al.2020 · 14 citations
  13. Asymptotically Optimal Regularization in Smooth Parametric Models ↗no summary yetPercy Liang et al.2009 · 14 citations
  14. A permutation-augmented sampler for DP mixture models ↗International Conference on Machine Learning · no summary yetPercy Liang, Michael I. Jordan, Ben Taskar2007 · 14 citations
  15. International Scientific Report on the Safety of Advanced AI (Interim Report) ↗arXiv (Cornell University) · no summary yetYoshua Bengio et al.2024 · 13 citations
  16. AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies ↗arXiv:2406.17864 · no summary yetYi Zeng et al.2024 · 13 citations
  17. Do Question Answering Modeling Improvements Hold Across Benchmarks? ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetNelson F. Liu et al.2023 · 13 citations
  18. How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions ↗Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetArun Chaganty, Percy Liang2016 · 13 citations
  19. Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice ↗SSRN Electronic Journal · no summary yetA. Feder Cooper et al.2025 · 12 citations
  20. LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain ↗Findings of the Association for Computational Linguistics: NAACL 2025 · no summary yetJoel Niklaus et al.2025 · 12 citations
  21. On the Relationship between Data Efficiency and Error for Uncertainty Sampling ↗arXiv (Cornell University) · no summary yetStephen Mussmann, Percy Liang2018 · 12 citations
  22. RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies ↗arXiv (Cornell University) · no summary yetPranav Atreya et al.2025 · 11 citations
  23. Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation ↗arXiv:2510.11977 · no summary yetSayash Kapoor et al.2025 · 11 citations
  24. Extracting memorized pieces of (copyrighted) books from open-weight language models ↗SSRN Electronic Journal · no summary yetMark A. Lemley et al.2025 · 11 citations
  25. Fantastic Pretraining Optimizers and Where to Find Them ↗arXiv (Cornell University) · no summary yetKaiyue Wen et al.2025 · 11 citations
  26. The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources ↗arXiv (Cornell University) · no summary yetShayne Longpre et al.2024 · 11 citations
  27. Are Sample-Efficient NLP Models More Robust? ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetNelson F. Liu et al.2023 · 11 citations
  28. Trustworthy Social Bias Measurement ↗Proceedings of the AAAI/ACM Conference on AI Ethics and Society · no summary yetRishi Bommasani, Percy Liang2022 · 11 citations
  29. Improving Self-Supervised Learning by Characterizing Idealized Representations ↗neural information processing systems · no summary yetYann Dubois et al.2022 · 11 citations
  30. How do authors’ perceptions of their papers compare with co-authors’ perceptions and peer-review decisions? ↗PLoS ONE · no summary yetCharvi Rastogi et al.2022 · 11 citations
  31. Maximum Weighted Loss Discrepancy ↗arXiv (Cornell University) · no summary yetFereshte Khani, Aditi Raghunathan, Percy Liang2019 · 11 citations
  32. Ambitious Data Science Can Be Painless ↗Harvard Data Science Review · no summary yetHatef Monajemi et al.2019 · 11 citations
  33. Learning Overcomplete HMMs ↗arXiv (Cornell University) · no summary yetVatsal Sharan et al.2017 · 11 citations
  34. The Mighty ToRR: A Benchmark for Table Reasoning and Robustness ↗arXiv (Cornell University) · no summary yetShir Ashury-Tahan et al.2025 · 10 citations
  35. Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift ↗arXiv (Cornell University) · no summary yetAnanya Kumar et al.2022 · 10 citations
  36. No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets ↗arXiv (Cornell University) · no summary yetFahim Tajwar et al.2021 · 10 citations
  37. The 2025 Foundation Model Transparency Index ↗SuperIntelligence - Robotics - Safety & Alignment · no summary yetAlexander Wan et al.2026 · 9 citations
  38. LILA: Language-Informed Latent Actions ↗arXiv (Cornell University) · no summary yetSiddharth Karamcheti et al.2021 · 9 citations
  39. Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss ↗arXiv (Cornell University) · no summary yetStephen Mussmann, Percy Liang2018 · 9 citations
  40. Estimation from Indirect Supervision with Linear Moments ↗arXiv (Cornell University) · no summary yetAditi Raghunathan et al.2016 · 9 citations
  41. On-the-Job Learning with Bayesian Decision Theory ↗arXiv (Cornell University) · no summary yetKeenon Werling et al.2015 · 9 citations
  42. Filtering with Abstract Particles ↗no summary yetJacob Steinhardt, Percy Liang2014 · 9 citations
  43. Extracting books from production language models ↗arXiv (Cornell University) · no summary yetAhmed Ahmed et al.2026 · 8 citations
  44. WorldGym: World Model as An Environment for Policy Evaluation ↗arXiv (Cornell University) · no summary yetQuevedo, Julian et al.2025 · 8 citations
  45. Eliciting Language Model Behaviors with Investigator Agents ↗arXiv (Cornell University) · no summary yetXiang Lisa Li et al.2025 · 8 citations
  46. MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering ↗neural information processing systems · no summary yetRushi Qiang et al.2025 · 8 citations
  47. AI Regulation Has Its Own Alignment Problem: The Technical and Institutional Feasibility of Disclosure, Registration, Licensing, and Auditing ↗bepress Legal Repository · no summary yetNeel Guha et al.2024 · 8 citations
  48. Language model developers should report train-test overlap ↗arXiv (Cornell University) · no summary yetAndy K. Zhang et al.2024 · 8 citations
  49. Learning Autocomplete Systems as a Communication Game ↗arXiv (Cornell University) · no summary yetMina Lee, Tatsunori Hashimoto, Percy Liang2019 · 8 citations
  50. Unsupervised Transformation Learning via Convex Relaxations ↗arXiv (Cornell University) · no summary yetTatsunori Hashimoto, John C. Duchi, Percy Liang2017 · 8 citations
  51. On the Interaction between Norm and Dimensionality: Multiple Regimes in Learning ↗no summary yetPercy Liang, Nathan Srebro2010 · 8 citations
  52. Pre-training under infinite compute ↗arXiv (Cornell University) · no summary yetKim, Konwoo et al.2025 · 7 citations
  53. AHELM: A Holistic Evaluation of Audio-Language Models ↗arXiv (Cornell University) · no summary yetTong Lee et al.2025 · 7 citations
  54. Establishing Best Practices for Building Rigorous Agentic Benchmarks ↗arXiv:2507.02825 · no summary yetYuxuan Zhu et al.2025 · 7 citations
  55. Model Editing with Canonical Examples ↗arXiv (Cornell University) · no summary yetJohn Hewitt et al.2024 · 7 citations
  56. Image2Struct: Benchmarking Structure Extraction for Vision-Language Models ↗neural information processing systems · no summary yetJosselin Somerville Roberts et al.2024 · 7 citations
  57. Inferring Multidimensional Rates of Aging from Cross-Sectional Data ↗PubMed · no summary yetEmma Pierson et al.2018 · 7 citations
  58. Simple MAP Inference via Low-Rank Relaxations ↗no summary yetRoy Frostig et al.2014 · 7 citations
  59. Talking to computers in natural language ↗XRDS Crossroads The ACM Magazine for Students · no summary yetPercy Liang2014 · 7 citations
  60. RoboReward: General-Purpose Vision-Language Reward Models for Robotics ↗arXiv (Cornell University) · no summary yetTony Lee et al.2026 · 6 citations
  61. UQ: Assessing Language Models on Unsolved Questions ↗arXiv (Cornell University) · no summary yetNie, Fan et al.2025 · 6 citations
  62. Beat the long tail: Distribution-Aware Speculative Decoding for RL Training ↗arXiv (Cornell University) · no summary yetShao, Zelei et al.2025 · 6 citations
  63. Position: On the Societal Impact of Open Foundation Models ↗ANU Open Research (Australian National University) · no summary yetSayash Kapoor et al.2024 · 6 citations
  64. Cheaply Evaluating Inference Efficiency Metrics for Autoregressive Transformer APIs ↗arXiv (Cornell University) · no summary yetDeepak Narayanan et al.2023 · 6 citations
  65. A Tight Analysis of Greedy Yields Subexponential Time Approximation for Uniform Decision Tree ↗Society for Industrial and Applied Mathematics eBooks · no summary yetRay Li, Percy Liang, Stephen Mussmann2019 · 6 citations
  66. Reified Context Models ↗arXiv (Cornell University) · no summary yetJacob Steinhardt, Percy Liang2015 · 6 citations
  67. The Statistics of Streaming Sparse Regression ↗arXiv (Cornell University) · no summary yetJacob Steinhardt, Stefan Wager, Percy Liang2014 · 6 citations
  68. Model Equality Testing: Which Model Is This API Serving? ↗arXiv (Cornell University) · no summary yetIrena Gao, Percy Liang, Carlos Guestrin2024 · 5 citations
  69. Anticipatory Music Transformer ↗arXiv (Cornell University) · no summary yetJohn Thickstun et al.2023 · 5 citations
  70. Methods and Experiments With Bounded Tree-width Markov Networks ↗no summary yetPercy Liang, Nathan Srebro2004 · 5 citations
  71. Auditing Prompt Caching in Language Model APIs ↗arXiv (Cornell University) · no summary yetGu, Chenchen et al.2025 · 4 citations
  72. Relative Scaling Laws for LLMs ↗arXiv (Cornell University) · no summary yetHeld, William et al.2025 · 4 citations
  73. Reinforcement Learning for Machine Learning Engineering Agents ↗arXiv (Cornell University) · no summary yetSherry X. Yang, Joy He-Yueya, Percy Liang2025 · 4 citations
  74. Establishing Best Practices in Building Rigorous Agentic Benchmarks ↗neural information processing systems · no summary yetYuxuan Zhu et al.2025 · 4 citations
  75. Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes ↗arXiv (Cornell University) · no summary yetConnor Toups et al.2023 · 4 citations
  76. Learning Abstract Models for Strategic Exploration and Fast Reward Transfer ↗arXiv (Cornell University) · no summary yetEvan Zheran Liu et al.2020 · 4 citations
  77. CS229T/STAT231: Statistical Learning Theory (Winter 2015) ↗no summary yetPercy Liang2015 · 4 citations
  78. Learning Fast-Mixing Models for Structured Prediction ↗arXiv (Cornell University) · no summary yetJacob Steinhardt, Percy Liang2015 · 4 citations
  79. SpecEval: Evaluating Model Adherence to Behavior Specifications ↗arXiv (Cornell University) · no summary yetAhmed Abdelmoamen Ahmed et al.2025 · 3 citations
  80. Language Models May Verbatim Complete Text They Were Not Explicitly Trained On ↗arXiv (Cornell University) · no summary yetKen Ziyu Liu et al.2025 · 3 citations
  81. Independence Tests for Language Models ↗arXiv (Cornell University) · no summary yetZhu, Sally et al.2025 · 3 citations
  82. Reliable and Efficient Amortized Model-based Evaluation ↗arXiv (Cornell University) · no summary yetSang Truong et al.2025 · 3 citations
  83. Cheaply Estimating Inference Efficiency Metrics for Autoregressive Transformer Models ↗neural information processing systems · no summary yetDeepak Narayanan et al.2023 · 3 citations
  84. Evaluating Self-Supervised Learning via Risk Decomposition ↗arXiv (Cornell University) · no summary yetDubois, Yann, Tatsunori Hashimoto, Percy Liang2023 · 3 citations
  85. Just One Byte (per gradient): A Note on Low-Bandwidth Decentralized Language Model Finetuning Using Shared Randomness ↗arXiv (Cornell University) · no summary yetEric Zelikman et al.2023 · 3 citations
  86. Noise Induces Loss Discrepancy Across Groups for Linear Regression. ↗arXiv (Cornell University) · no summary yetFereshte Khani, Percy Liang2019 · 3 citations
  87. Learning Abstract Models for Long-Horizon Exploration ↗no summary yetEvan Zheran Liu et al.2018 · 3 citations
  88. Data Augmentation via Lévy Processes ↗The MIT Press eBooks · no summary yetStefan Wager, William Fithian, Percy Liang2016 · 3 citations
  89. Simultaneous diagonalization: the asymmetric, low-rank, and noisy settings ↗arXiv (Cornell University) · no summary yetVolodymyr Kuleshov, Arun Tejasvi Chaganty, Percy Liang2015 · 3 citations
  90. Relaxations for inference in restricted Boltzmann machines ↗arXiv (Cornell University) · no summary yetSida Wang et al.2013 · 3 citations
  91. Algorithmic Monocultures in Hiring ↗ACM Conference on Fairness, Accountability, and Transparency (FAccT) · no summary yetRishi Bommasani et al.2026 · 2 citations
  92. Replaying pre-training data improves fine-tuning ↗arXiv (Cornell University) · no summary yetSuhas Kotha, Percy Liang2026 · 2 citations
  93. Fantastic Pretraining Optimizers and Where to Find Them II: Hyperball Optimization ↗arXiv (Cornell University) · no summary yetKaiyue Wen et al.2026 · 2 citations
  94. Blackbox Model Provenance via Palimpsestic Membership Inference ↗neural information processing systems · no summary yetRohith Kuditipudi et al.2025 · 2 citations
  95. MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline ↗arXiv (Cornell University) · no summary yetRushi Qiang et al.2025 · 2 citations
  96. Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback ↗arXiv (Cornell University) · no summary yetHiroki Furuta et al.2024 · 2 citations
  97. Lexinvariant Language Models ↗neural information processing systems · no summary yetQian Huang et al.2023 · 2 citations
  98. Select Via Proxy: Efficient Data Selection For Training Deep Networks ↗no summary yetCody Coleman et al.2018 · 2 citations
  99. Generalized Binary Search For Split-Neighborly Problems ↗arXiv (Cornell University) · no summary yetStephen Mussmann, Percy Liang2018 · 2 citations
  100. Synthesizing Program Input Grammars ↗arXiv:1608.01723 · no summary yetOsbert Bastani et al.2016 · 2 citations

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