---
title: "Percy Liang — all works, page 3 — 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."
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# Percy Liang — all works

356 works · page 3 of 4 · 201–300 · [← Percy Liang](https://md.research.elamur.ai/free/en/authors/percy-liang/)

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201. **[Instruction Following without Instruction Tuning ↗](https://arxiv.org/abs/2409.14254) arXiv (Cornell University) · no summary yet**John Hewitt et al.*2024 · 17 citations*
202. **[Defending against Whitebox Adversarial Attacks via Randomized Discretization ↗](https://arxiv.org/abs/1903.10586) arXiv (Cornell University) · no summary yet**Yuchen Zhang, Percy Liang*2019 · 17 citations*
203. **[Efficient geometric algorithms for parsing in two dimensions ↗](https://doi.org/10.1109/icdar.2005.98) Proceedings of the International Conference on Document Analysis and Recognition · no summary yet**Percy Liang et al.*2005 · 17 citations*
204. **[Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models ↗](https://aclanthology.org/2023.findings-acl.472/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Yuhui Zhang et al.*2023 · 16 citations*
205. **[Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning ↗](https://arxiv.org/abs/2207.07635) arXiv (Cornell University) · no summary yet**Shibani Santurkar et al.*2022 · 15 citations*
206. **[Selective Classification Can Magnify Disparities Across Groups ↗](https://arxiv.org/abs/2010.14134) arXiv (Cornell University) · no summary yet**Erik Jones et al.*2020 · 15 citations*
207. **[Learning Where to Sample in Structured Prediction ↗](https://openalex.org/W2116929514) no summary yet**Tianlin Shi, Jacob Steinhardt, Percy Liang*2015 · 15 citations*
208. **[Learning with relaxed supervision ↗](https://openalex.org/W2181831842) neural information processing systems · no summary yet**Jacob Steinhardt, Percy Liang*2015 · 15 citations*
209. **[The Foundation Model Transparency Index v1.1: May 2024 ↗](https://arxiv.org/abs/2407.12929) arXiv (Cornell University) · no summary yet**Rishi Bommasani et al.*2024 · 14 citations*
210. **[Has the Machine Learning Review Process Become More Arbitrary as the Field Has Grown? The NeurIPS 2021 Consistency Experiment ↗](https://arxiv.org/abs/2306.03262) arXiv (Cornell University) · no summary yet**Alina Beygelzimer et al.*2023 · 14 citations*
211. **[CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks ↗](https://openalex.org/W7113259336) Rare & Special e-Zone (The Hong Kong University of Science and Technology) · no summary yet**Beidi Chen et al.*2023 · 14 citations*
212. **[Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices ↗](https://arxiv.org/abs/2008.02790) arXiv (Cornell University) · no summary yet**Evan Zheran Liu et al.*2020 · 14 citations*
213. **[Asymptotically Optimal Regularization in Smooth Parametric Models ↗](https://openalex.org/W2121974477) no summary yet**Percy Liang et al.*2009 · 14 citations*
214. **[A permutation-augmented sampler for DP mixture models ↗](https://doi.org/10.1145/1273496.1273565) International Conference on Machine Learning · no summary yet**Percy Liang, Michael I. Jordan, Ben Taskar*2007 · 14 citations*
215. **[International Scientific Report on the Safety of Advanced AI (Interim Report) ↗](https://arxiv.org/abs/2412.05282) arXiv (Cornell University) · no summary yet**Yoshua Bengio et al.*2024 · 13 citations*
216. **[AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies ↗](https://arxiv.org/abs/2406.17864) arXiv:2406.17864 · no summary yet**Yi Zeng et al.*2024 · 13 citations*
217. **[Do Question Answering Modeling Improvements Hold Across Benchmarks? ↗](https://aclanthology.org/2023.acl-long.736/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Nelson F. Liu et al.*2023 · 13 citations*
218. **[How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions ↗](https://aclanthology.org/P16-1055/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Arun Chaganty, Percy Liang*2016 · 13 citations*
219. **[Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice ↗](https://doi.org/10.2139/ssrn.5060253) SSRN Electronic Journal · no summary yet**A. Feder Cooper et al.*2025 · 12 citations*
220. **[LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain ↗](https://aclanthology.org/2025.findings-naacl.7/) Findings of the Association for Computational Linguistics: NAACL 2025 · no summary yet**Joel Niklaus et al.*2025 · 12 citations*
221. **[On the Relationship between Data Efficiency and Error for Uncertainty Sampling ↗](https://arxiv.org/abs/1806.06123) arXiv (Cornell University) · no summary yet**Stephen Mussmann, Percy Liang*2018 · 12 citations*
222. **[RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies ↗](https://arxiv.org/abs/2506.18123) arXiv (Cornell University) · no summary yet**Pranav Atreya et al.*2025 · 11 citations*
223. **[Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation ↗](https://arxiv.org/abs/2510.11977) arXiv:2510.11977 · no summary yet**Sayash Kapoor et al.*2025 · 11 citations*
224. **[Extracting memorized pieces of (copyrighted) books from open-weight language models ↗](https://doi.org/10.2139/ssrn.5262084) SSRN Electronic Journal · no summary yet**Mark A. Lemley et al.*2025 · 11 citations*
225. **[Fantastic Pretraining Optimizers and Where to Find Them ↗](https://arxiv.org/abs/2509.02046) arXiv (Cornell University) · no summary yet**Kaiyue Wen et al.*2025 · 11 citations*
226. **[The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources ↗](https://arxiv.org/abs/2406.16746) arXiv (Cornell University) · no summary yet**Shayne Longpre et al.*2024 · 11 citations*
227. **[Are Sample-Efficient NLP Models More Robust? ↗](https://aclanthology.org/2023.acl-short.144/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Nelson F. Liu et al.*2023 · 11 citations*
228. **[Trustworthy Social Bias Measurement ↗](https://doi.org/10.1609/aies.v7i1.31630) Proceedings of the AAAI/ACM Conference on AI Ethics and Society · no summary yet**Rishi Bommasani, Percy Liang*2022 · 11 citations*
229. **[Improving Self-Supervised Learning by Characterizing Idealized Representations ↗](https://doi.org/10.52202/068431-0820) neural information processing systems · no summary yet**Yann Dubois et al.*2022 · 11 citations*
230. **[How do authors’ perceptions of their papers compare with co-authors’ perceptions and peer-review decisions? ↗](https://doi.org/10.1371/journal.pone.0300710) PLoS ONE · no summary yet**Charvi Rastogi et al.*2022 · 11 citations*
231. **[Maximum Weighted Loss Discrepancy ↗](https://arxiv.org/abs/1906.03518) arXiv (Cornell University) · no summary yet**Fereshte Khani, Aditi Raghunathan, Percy Liang*2019 · 11 citations*
232. **[Ambitious Data Science Can Be Painless ↗](https://doi.org/10.1162/99608f92.02ffc552) Harvard Data Science Review · no summary yet**Hatef Monajemi et al.*2019 · 11 citations*
233. **[Learning Overcomplete HMMs ↗](https://arxiv.org/abs/1711.02309) arXiv (Cornell University) · no summary yet**Vatsal Sharan et al.*2017 · 11 citations*
234. **[The Mighty ToRR: A Benchmark for Table Reasoning and Robustness ↗](https://arxiv.org/abs/2502.19412) arXiv (Cornell University) · no summary yet**Shir Ashury-Tahan et al.*2025 · 10 citations*
235. **[Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift ↗](https://arxiv.org/abs/2207.08977) arXiv (Cornell University) · no summary yet**Ananya Kumar et al.*2022 · 10 citations*
236. **[No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets ↗](https://arxiv.org/abs/2109.05554) arXiv (Cornell University) · no summary yet**Fahim Tajwar et al.*2021 · 10 citations*
237. **[The 2025 Foundation Model Transparency Index ↗](https://doi.org/10.70777/si.v2i4.17165) SuperIntelligence - Robotics - Safety & Alignment · no summary yet**Alexander Wan et al.*2026 · 9 citations*
238. **[LILA: Language-Informed Latent Actions ↗](https://arxiv.org/abs/2111.03205) arXiv (Cornell University) · no summary yet**Siddharth Karamcheti et al.*2021 · 9 citations*
239. **[Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss ↗](https://arxiv.org/abs/1812.01815) arXiv (Cornell University) · no summary yet**Stephen Mussmann, Percy Liang*2018 · 9 citations*
240. **[Estimation from Indirect Supervision with Linear Moments ↗](https://arxiv.org/abs/1608.03100) arXiv (Cornell University) · no summary yet**Aditi Raghunathan et al.*2016 · 9 citations*
241. **[On-the-Job Learning with Bayesian Decision Theory ↗](https://arxiv.org/abs/1506.03140) arXiv (Cornell University) · no summary yet**Keenon Werling et al.*2015 · 9 citations*
242. **[Filtering with Abstract Particles ↗](https://openalex.org/W197196944) no summary yet**Jacob Steinhardt, Percy Liang*2014 · 9 citations*
243. **[Extracting books from production language models ↗](https://arxiv.org/abs/2601.02671) arXiv (Cornell University) · no summary yet**Ahmed Ahmed et al.*2026 · 8 citations*
244. **[WorldGym: World Model as An Environment for Policy Evaluation ↗](https://arxiv.org/abs/2506.00613) arXiv (Cornell University) · no summary yet**Quevedo, Julian et al.*2025 · 8 citations*
245. **[Eliciting Language Model Behaviors with Investigator Agents ↗](https://arxiv.org/abs/2502.01236) arXiv (Cornell University) · no summary yet**Xiang Lisa Li et al.*2025 · 8 citations*
246. **[MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering ↗](https://doi.org/10.52202/085713-0139) neural information processing systems · no summary yet**Rushi Qiang et al.*2025 · 8 citations*
247. **[AI Regulation Has Its Own Alignment Problem: The Technical and Institutional Feasibility of Disclosure, Registration, Licensing, and Auditing ↗](https://openalex.org/W7167856760) bepress Legal Repository · no summary yet**Neel Guha et al.*2024 · 8 citations*
248. **[Language model developers should report train-test overlap ↗](https://arxiv.org/abs/2410.08385) arXiv (Cornell University) · no summary yet**Andy K. Zhang et al.*2024 · 8 citations*
249. **[Learning Autocomplete Systems as a Communication Game ↗](https://arxiv.org/abs/1911.06964) arXiv (Cornell University) · no summary yet**Mina Lee, Tatsunori Hashimoto, Percy Liang*2019 · 8 citations*
250. **[Unsupervised Transformation Learning via Convex Relaxations ↗](https://arxiv.org/abs/1711.02226) arXiv (Cornell University) · no summary yet**Tatsunori Hashimoto, John C. Duchi, Percy Liang*2017 · 8 citations*
251. **[On the Interaction between Norm and Dimensionality: Multiple Regimes in Learning ↗](https://openalex.org/W48137866) no summary yet**Percy Liang, Nathan Srebro*2010 · 8 citations*
252. **[Pre-training under infinite compute ↗](https://arxiv.org/abs/2509.14786) arXiv (Cornell University) · no summary yet**Kim, Konwoo et al.*2025 · 7 citations*
253. **[AHELM: A Holistic Evaluation of Audio-Language Models ↗](https://arxiv.org/abs/2508.21376) arXiv (Cornell University) · no summary yet**Tong Lee et al.*2025 · 7 citations*
254. **[Establishing Best Practices for Building Rigorous Agentic Benchmarks ↗](https://arxiv.org/abs/2507.02825) arXiv:2507.02825 · no summary yet**Yuxuan Zhu et al.*2025 · 7 citations*
255. **[Model Editing with Canonical Examples ↗](https://arxiv.org/abs/2402.06155) arXiv (Cornell University) · no summary yet**John Hewitt et al.*2024 · 7 citations*
256. **[Image2Struct: Benchmarking Structure Extraction for Vision-Language Models ↗](https://doi.org/10.52202/079017-3653) neural information processing systems · no summary yet**Josselin Somerville Roberts et al.*2024 · 7 citations*
257. **[Inferring Multidimensional Rates of Aging from Cross-Sectional Data ↗](https://arxiv.org/abs/1807.04709) PubMed · no summary yet**Emma Pierson et al.*2018 · 7 citations*
258. **[Simple MAP Inference via Low-Rank Relaxations ↗](https://openalex.org/W2152045836) no summary yet**Roy Frostig et al.*2014 · 7 citations*
259. **[Talking to computers in natural language ↗](https://doi.org/10.1145/2659831) XRDS Crossroads The ACM Magazine for Students · no summary yet**Percy Liang*2014 · 7 citations*
260. **[RoboReward: General-Purpose Vision-Language Reward Models for Robotics ↗](https://arxiv.org/abs/2601.00675) arXiv (Cornell University) · no summary yet**Tony Lee et al.*2026 · 6 citations*
261. **[UQ: Assessing Language Models on Unsolved Questions ↗](https://arxiv.org/abs/2508.17580) arXiv (Cornell University) · no summary yet**Nie, Fan et al.*2025 · 6 citations*
262. **[Beat the long tail: Distribution-Aware Speculative Decoding for RL Training ↗](https://arxiv.org/abs/2511.13841) arXiv (Cornell University) · no summary yet**Shao, Zelei et al.*2025 · 6 citations*
263. **[Position: On the Societal Impact of Open Foundation Models ↗](https://openalex.org/W7135318688) ANU Open Research (Australian National University) · no summary yet**Sayash Kapoor et al.*2024 · 6 citations*
264. **[Cheaply Evaluating Inference Efficiency Metrics for Autoregressive Transformer APIs ↗](https://arxiv.org/abs/2305.02440) arXiv (Cornell University) · no summary yet**Deepak Narayanan et al.*2023 · 6 citations*
265. **[A Tight Analysis of Greedy Yields Subexponential Time Approximation for Uniform Decision Tree ↗](https://doi.org/10.1137/1.9781611975994.7) Society for Industrial and Applied Mathematics eBooks · no summary yet**Ray Li, Percy Liang, Stephen Mussmann*2019 · 6 citations*
266. **[Reified Context Models ↗](https://arxiv.org/abs/1502.06665) arXiv (Cornell University) · no summary yet**Jacob Steinhardt, Percy Liang*2015 · 6 citations*
267. **[The Statistics of Streaming Sparse Regression ↗](https://arxiv.org/abs/1412.4182) arXiv (Cornell University) · no summary yet**Jacob Steinhardt, Stefan Wager, Percy Liang*2014 · 6 citations*
268. **[Model Equality Testing: Which Model Is This API Serving? ↗](https://arxiv.org/abs/2410.20247) arXiv (Cornell University) · no summary yet**Irena Gao, Percy Liang, Carlos Guestrin*2024 · 5 citations*
269. **[Anticipatory Music Transformer ↗](https://arxiv.org/abs/2306.08620) arXiv (Cornell University) · no summary yet**John Thickstun et al.*2023 · 5 citations*
270. **[Methods and Experiments With Bounded Tree-width Markov Networks ↗](http://hdl.handle.net/1721.1/30511) no summary yet**Percy Liang, Nathan Srebro*2004 · 5 citations*
271. **[Auditing Prompt Caching in Language Model APIs ↗](https://arxiv.org/abs/2502.07776) arXiv (Cornell University) · no summary yet**Gu, Chenchen et al.*2025 · 4 citations*
272. **[Relative Scaling Laws for LLMs ↗](https://arxiv.org/abs/2510.24626) arXiv (Cornell University) · no summary yet**Held, William et al.*2025 · 4 citations*
273. **[Reinforcement Learning for Machine Learning Engineering Agents ↗](https://arxiv.org/abs/2509.01684) arXiv (Cornell University) · no summary yet**Sherry X. Yang, Joy He-Yueya, Percy Liang*2025 · 4 citations*
274. **[Establishing Best Practices in Building Rigorous Agentic Benchmarks ↗](https://doi.org/10.52202/085713-5547) neural information processing systems · no summary yet**Yuxuan Zhu et al.*2025 · 4 citations*
275. **[Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes ↗](https://arxiv.org/abs/2307.05862) arXiv (Cornell University) · no summary yet**Connor Toups et al.*2023 · 4 citations*
276. **[Learning Abstract Models for Strategic Exploration and Fast Reward Transfer ↗](https://arxiv.org/abs/2007.05896) arXiv (Cornell University) · no summary yet**Evan Zheran Liu et al.*2020 · 4 citations*
277. **[CS229T/STAT231: Statistical Learning Theory (Winter 2015) ↗](https://openalex.org/W2325385333) no summary yet**Percy Liang*2015 · 4 citations*
278. **[Learning Fast-Mixing Models for Structured Prediction ↗](https://arxiv.org/abs/1502.06668) arXiv (Cornell University) · no summary yet**Jacob Steinhardt, Percy Liang*2015 · 4 citations*
279. **[SpecEval: Evaluating Model Adherence to Behavior Specifications ↗](https://arxiv.org/abs/2509.02464) arXiv (Cornell University) · no summary yet**Ahmed Abdelmoamen Ahmed et al.*2025 · 3 citations*
280. **[Language Models May Verbatim Complete Text They Were Not Explicitly Trained On ↗](https://arxiv.org/abs/2503.17514) arXiv (Cornell University) · no summary yet**Ken Ziyu Liu et al.*2025 · 3 citations*
281. **[Independence Tests for Language Models ↗](https://arxiv.org/abs/2502.12292) arXiv (Cornell University) · no summary yet**Zhu, Sally et al.*2025 · 3 citations*
282. **[Reliable and Efficient Amortized Model-based Evaluation ↗](https://arxiv.org/abs/2503.13335) arXiv (Cornell University) · no summary yet**Sang Truong et al.*2025 · 3 citations*
283. **[Cheaply Estimating Inference Efficiency Metrics for Autoregressive Transformer Models ↗](https://doi.org/10.52202/075280-2904) neural information processing systems · no summary yet**Deepak Narayanan et al.*2023 · 3 citations*
284. **[Evaluating Self-Supervised Learning via Risk Decomposition ↗](https://arxiv.org/abs/2302.03068) arXiv (Cornell University) · no summary yet**Dubois, Yann, Tatsunori Hashimoto, Percy Liang*2023 · 3 citations*
285. **[Just One Byte (per gradient): A Note on Low-Bandwidth Decentralized Language Model Finetuning Using Shared Randomness ↗](https://arxiv.org/abs/2306.10015) arXiv (Cornell University) · no summary yet**Eric Zelikman et al.*2023 · 3 citations*
286. **[Noise Induces Loss Discrepancy Across Groups for Linear Regression. ↗](https://arxiv.org/abs/1911.09876) arXiv (Cornell University) · no summary yet**Fereshte Khani, Percy Liang*2019 · 3 citations*
287. **[Learning Abstract Models for Long-Horizon Exploration ↗](https://openalex.org/W2908115596) no summary yet**Evan Zheran Liu et al.*2018 · 3 citations*
288. **[Data Augmentation via Lévy Processes ↗](https://doi.org/10.7551/mitpress/10761.003.0013) The MIT Press eBooks · no summary yet**Stefan Wager, William Fithian, Percy Liang*2016 · 3 citations*
289. **[Simultaneous diagonalization: the asymmetric, low-rank, and noisy settings ↗](https://arxiv.org/abs/1501.06318) arXiv (Cornell University) · no summary yet**Volodymyr Kuleshov, Arun Tejasvi Chaganty, Percy Liang*2015 · 3 citations*
290. **[Relaxations for inference in restricted Boltzmann machines ↗](https://arxiv.org/abs/1312.6205) arXiv (Cornell University) · no summary yet**Sida Wang et al.*2013 · 3 citations*
291. **[Algorithmic Monocultures in Hiring ↗](https://doi.org/10.1145/3805689.3812400) ACM Conference on Fairness, Accountability, and Transparency (FAccT) · no summary yet**Rishi Bommasani et al.*2026 · 2 citations*
292. **[Replaying pre-training data improves fine-tuning ↗](https://arxiv.org/abs/2603.04964) arXiv (Cornell University) · no summary yet**Suhas Kotha, Percy Liang*2026 · 2 citations*
293. **[Fantastic Pretraining Optimizers and Where to Find Them II: Hyperball Optimization ↗](https://arxiv.org/abs/2606.16899) arXiv (Cornell University) · no summary yet**Kaiyue Wen et al.*2026 · 2 citations*
294. **[Blackbox Model Provenance via Palimpsestic Membership Inference ↗](https://doi.org/10.52202/085713-5421) neural information processing systems · no summary yet**Rohith Kuditipudi et al.*2025 · 2 citations*
295. **[MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline ↗](https://arxiv.org/abs/2510.07307) arXiv (Cornell University) · no summary yet**Rushi Qiang et al.*2025 · 2 citations*
296. **[Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback ↗](https://arxiv.org/abs/2412.02617) arXiv (Cornell University) · no summary yet**Hiroki Furuta et al.*2024 · 2 citations*
297. **[Lexinvariant Language Models ↗](https://doi.org/10.52202/075280-1042) neural information processing systems · no summary yet**Qian Huang et al.*2023 · 2 citations*
298. **[Select Via Proxy: Efficient Data Selection For Training Deep Networks ↗](https://openalex.org/W2913111218) no summary yet**Cody Coleman et al.*2018 · 2 citations*
299. **[Generalized Binary Search For Split-Neighborly Problems ↗](https://arxiv.org/abs/1802.09751) arXiv (Cornell University) · no summary yet**Stephen Mussmann, Percy Liang*2018 · 2 citations*
300. **[Synthesizing Program Input Grammars ↗](https://arxiv.org/abs/1608.01723) arXiv:1608.01723 · no summary yet**Osbert Bastani et al.*2016 · 2 citations*

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