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title: "Percy Liang — all works, page 4 — 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 4 of 4 · 301–356 · [← Percy Liang](https://md.research.elamur.ai/free/en/authors/percy-liang/)

[← prev](https://md.research.elamur.ai/free/en/authors/percy-liang/works/page/3/) [1](https://md.research.elamur.ai/free/en/authors/percy-liang/works/) [2](https://md.research.elamur.ai/free/en/authors/percy-liang/works/page/2/) [3](https://md.research.elamur.ai/free/en/authors/percy-liang/works/page/3/) **4**

301. **[The Mighty ToRR: A Benchmark for Table Reasoning and Robustness in LLMs](https://md.research.elamur.ai/free/en/papers/tahan-2026-mighty-torr-benchmark-table-reasoning/) [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/)**Shir Ashury-Tahan, Yifan Mai, Rajmohan C, et al.*2026 · 1 citation*
302. **[Extractable Memorization From First Principles ↗](https://doi.org/10.2139/ssrn.7118018) SSRN Electronic Journal · no summary yet**A. Feder Cooper et al.*2026 · 1 citation*
303. **[Data-efficient pre-training by scaling synthetic megadocs ↗](https://arxiv.org/abs/2603.18534) arXiv (Cornell University) · no summary yet**Konwoo Kim et al.*2026 · 1 citation*
304. **[Self-Verified Distillation: Your Language Model Is Secretly Its Own Synthetic Data Pipeline ↗](https://arxiv.org/abs/2605.26132) arXiv:2605.26132 · no summary yet**Tony Lee, Percy Liang*2026 · 1 citation*
305. **[Prefix Sliding for efficient test-time scaling ↗](https://arxiv.org/abs/2608.26070) arXiv (Cornell University) · no summary yet**Niklas Muennighoff et al.*2026 · 1 citation*
306. **[The California Report on Frontier AI Policy ↗](https://arxiv.org/abs/2506.17303) arXiv (Cornell University) · no summary yet**Rishi Bommasani et al.*2025 · 1 citation*
307. **[On the Entropy Calibration of Language Models ↗](https://doi.org/10.52202/085713-2849) neural information processing systems · no summary yet**Steven Cao, Gregory Valiant, Percy Liang*2025 · 1 citation*
308. **[Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing ↗](https://arxiv.org/abs/2512.09882) arXiv (Cornell University) · no summary yet**Justin W. Lin et al.*2025 · 1 citation*
309. **[Vocal Sandbox: Continual Learning and Adaptation for Situated Human-Robot Collaboration ↗](https://arxiv.org/abs/2411.02599) arXiv (Cornell University) · no summary yet**Jennifer Grannen et al.*2024 · 1 citation*
310. **[VideoAgent: Self-Improving Video Generation ↗](https://arxiv.org/abs/2410.10076) arXiv (Cornell University) · no summary yet**Achint Soni et al.*2024 · 1 citation*
311. **[Out-of-Domain Robustness via Targeted Augmentations ↗](https://arxiv.org/abs/2302.11861) arXiv (Cornell University) · no summary yet**Irena Gao et al.*2023 · 1 citation*
312. **[Improving Representational Continuity via Continued Pretraining ↗](https://arxiv.org/abs/2302.13289) arXiv (Cornell University) · no summary yet**Michael Sun et al.*2023 · 1 citation*
313. **[Simplifying Models with Unlabeled Output Data ↗](https://arxiv.org/abs/2006.16205) arXiv (Cornell University) · no summary yet**Sang Michael Xie, Tengyu Ma, Percy Liang*2021 · 1 citation*
314. **[When Covariate-shifted Data Augmentation Increases Test Error And How to Fix It ↗](https://openalex.org/W3005161396) no summary yet**Sang Michael Xie et al.*2019 · 1 citation*
315. **[Estimating Mixture Models via Mixtures of Polynomials ↗](https://arxiv.org/abs/1603.08482) arXiv (Cornell University) · no summary yet**Sida Wang, Arun Tejasvi Chaganty, Percy Liang*2016 · 1 citation*
316. **[A Dynamic Data Structure for Checking Hyperacyclicity ↗](http://hdl.handle.net/1721.1/30514) no summary yet**Percy Liang, Nathan Srebro*2005 · 1 citation*
317. **[DecodingTrust-Agent Platform (DTap): A Controllable and Interactive Red-Teaming Platform for AI Agents ↗](https://arxiv.org/abs/2605.04808) arXiv (Cornell University) · no summary yet**Zhaorun Chen et al.*2026*
318. **[Estimating near-verbatim extraction risk in language models with decoding-constrained beam search ↗](https://arxiv.org/abs/2603.24917) arXiv (Cornell University) · no summary yet**A. Feder Cooper et al.*2026*
319. **[Insights from law for building and evaluating AI systems ↗](https://doi.org/10.25740/dn179pk0699) Stanford Digital Repository · no summary yet**Neel Guha et al.*2026*
320. **[VLAW: Iterative Co-Improvement of Vision-Language-Action Policy and World Model ↗](https://arxiv.org/abs/2602.12063) arXiv (Cornell University) · no summary yet**Yanjiang Guo et al.*2026*
321. **[Data Scarcity and Model Sparsity: Mixtures-of-Experts Overfit More to Repeated Data ↗](https://arxiv.org/abs/2609.11917) arXiv (Cornell University) · no summary yet**Atindra Jha et al.*2026*
322. **[Trustworthy oversight of machine learning via randomization ↗](https://doi.org/10.25740/ys987nd5770) Stanford Digital Repository · no summary yet**Rohith Kuditipudi et al.*2026*
323. **[Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pre-training ↗](https://aclanthology.org/2026.findings-eacl.307/) Findings of the Association for Computational Linguistics: EACL 2026 · no summary yet**Jeffrey Li et al.*2026*
324. **[Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pretraining ↗](https://arxiv.org/abs/2602.19548) arXiv (Cornell University) · no summary yet**Jeffrey Li et al.*2026*
325. **[FLARE-AI: Flaw Reporting for AI ↗](https://arxiv.org/abs/2606.31567) arXiv (Cornell University) · no summary yet**Shayne Longpre et al.*2026*
326. **[DelusionEval: Measuring Delusion-Linked Behaviors in AI Chatbots ↗](https://arxiv.org/abs/2608.05004) arXiv (Cornell University) · no summary yet**Jared Moore et al.*2026*
327. **[Economic Evaluations of Language Models ↗](https://arxiv.org/abs/2607.19375) arXiv (Cornell University) · no summary yet**Alexander Wan et al.*2026*
328. **[When RL Meets Adaptive Speculative Training: A Unified Training-Serving System ↗](https://arxiv.org/abs/2602.06932) arXiv (Cornell University) · no summary yet**Junxiong Wang et al.*2026*
329. **[Priced Guidance: Can Language Models Generate Future Research Ideas? ↗](https://arxiv.org/abs/2610.04976) arXiv (Cornell University) · no summary yet**Kaiyue Wen, Tengyu Ma, Percy Liang*2026*
330. **[Multimodal Foundation Models for Healthcare ↗](https://doi.org/10.1201/9781003471165-2) CRC Press eBooks · no summary yet**Michihiro Yasunaga, Percy Liang*2026*
331. **[MobileCybench: Evaluating Agent Vulnerability Discovery via Executable Probes ↗](https://arxiv.org/abs/2609.23980) arXiv (Cornell University) · no summary yet**Andy K. Zhang et al.*2026*
332. **[Taming and leveraging inconsistencies in pretrained language models ↗](https://doi.org/10.25740/mn037bj2590) Stanford Digital Repository · no summary yet**Tianyi Zhang et al.*2026*
333. **[Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives ↗](https://doi.org/10.52202/085713-0135) neural information processing systems · no summary yet**Sarah Huiyi Cen et al.*2025*
334. **[Language Models Prefer What They Know: Relative Confidence Estimation via Confidence Preferences ↗](https://arxiv.org/abs/2502.01126) arXiv (Cornell University) · no summary yet**Vaishnavi Shrivastava, Ananya Kumar, Percy Liang*2025*
335. **[Simulating Human Behavior Based on Personal Interviews to Power Generative Agent-Based Models ↗](https://doi.org/10.17605/osf.io/gk45t) no summary yet**Joon-Sung Park et al.*2024*
336. **[One-sided Matrix Completion from Two Observations Per Row ↗](https://arxiv.org/abs/2306.04049) arXiv (Cornell University) · no summary yet**Steven Cao, Percy Liang, Gregory Valiant*2023*
337. **[Melody transcription via generative pre-training ↗](https://arxiv.org/abs/2212.01884) arXiv (Cornell University) · no summary yet**Chris Donahue, John Thickstun, Percy Liang*2022*
338. **[Overparameterization hurts worst-group accuracy with spurious correlations ↗](https://openalex.org/W3035466577) International Conference on Machine Learning · no summary yet**Shiori Sagawa et al.*2020*
339. **[Learning to Automate Social Engineering Resistance (LASER) ↗](https://openalex.org/W3199450323) no summary yet**Dawn Xiaodong Song et al.*2020*
340. **[DrRepair: A Self-Supervised, Graph-Attentional Approach to Repairing Programs from Diagnostic Feedback ↗](https://openalex.org/W3034243721) International Conference on Machine Learning · no summary yet**Michihiro Yasunaga, Percy Liang*2020*
341. **[Task-Agnostic Robust Encodings for Combating Adversarial Typos ↗](https://openalex.org/W2986649174) no summary yet**Erik Jones et al.*2019*
342. **[Frangel:制御構造を用いたコンポーネントベース合成【JST・京大機械翻訳】 ↗](https://jglobal.jst.go.jp/detail?JGLOBAL_ID=202002272061311386) Proceedings of the ACM on Programming Languages · no summary yet**Shi Kensen, Jacob Steinhardt, Percy Liang*2019*
343. **[Robust Deep Semantics for Language Understanding ↗](https://openalex.org/W2904298299) no summary yet**Christopher D. Manning, Dan Jurafsky, Percy Liang*2018*
344. **[feature Talking to Computers in Natural Language ↗](https://openalex.org/W7099009952) no summary yet**Percy Liang, The Early Years*2016*
345. **[Learning Semantic Parsers for Natural Language Understanding ↗](https://openalex.org/W7099656554) no summary yet**Percy Liang*2016*
346. **[L.: Video event understanding using natural language descriptions ↗](https://openalex.org/W7100807858) no summary yet**Vignesh Ramanathan, Percy Liang, Li Fei-Fei*2015*
347. **[We first show that ‖ATY − Z‖2F is equivalent to −2tr ↗](https://openalex.org/W7099851976) no summary yet**Vignesh Ramanathan et al.*2015*
348. **[Journal of Machine Learning Research 1–11 Supplementary Material for Spectral Experts for Estimating Mixtures of Linear Regressions ↗](https://openalex.org/W7098628572) no summary yet**Arun Tejasvi Chaganty et al.*2014*
349. **[AND THE COMMITTEE ON GRADUATE STUDIES ↗](https://openalex.org/W7095997666) no summary yet**Percy Liang*2014*
350. **[• Part 1: Dropout as adaptive regularization ↗](https://openalex.org/W7097994560) no summary yet**Sida Wang et al.*2014*
351. **[To appear in: The Handbook of Applied Bayesian Analysis ↗](https://openalex.org/W7100969981) no summary yet**Percy Liang et al.*2009*
352. **[Chapter? of The Handbook of Applied Bayesian Analysis ↗](https://openalex.org/W7101111497) no summary yet**Percy Liang et al.*2009*
353. **[A Data Structure for Maintaining . . . ↗](https://openalex.org/W7098821079) no summary yet**Percy Liang, Nathan Srebro*2008*
354. **[SUBMITTED TO INT. CONF ON DOCUMENTS ANALYSIS AND RECOGNITION, 2005 1 Efficient Geometric Algorithms for Parsing in Two Dimensions ↗](https://openalex.org/W7101018539) no summary yet**Percy Liang et al.*2008*
355. **[• Part-of-speech induction • Parsing and grammar induction • Word segmentation • Word alignment • Document summarization ↗](https://openalex.org/W7100500920) no summary yet**Percy Liang, Dan Klein, Coreference Resolution*2007*
356. **[How Much of a Hypertree can be Captured by Windmills ↗](http://hdl.handle.net/1721.1/30515) no summary yet**Percy Liang, Nathan Srebro*2005*

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