Percy Liang — all works
- The Mighty ToRR: A Benchmark for Table Reasoning and Robustness in LLMsWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraShir Ashury-Tahan, Yifan Mai, Rajmohan C, et al.2026 · 1 citation
- Extractable Memorization From First Principles ↗SSRN Electronic Journal · no summary yetA. Feder Cooper et al.2026 · 1 citation
- Data-efficient pre-training by scaling synthetic megadocs ↗arXiv (Cornell University) · no summary yetKonwoo Kim et al.2026 · 1 citation
- Self-Verified Distillation: Your Language Model Is Secretly Its Own Synthetic Data Pipeline ↗arXiv:2605.26132 · no summary yetTony Lee, Percy Liang2026 · 1 citation
- Prefix Sliding for efficient test-time scaling ↗arXiv (Cornell University) · no summary yetNiklas Muennighoff et al.2026 · 1 citation
- The California Report on Frontier AI Policy ↗arXiv (Cornell University) · no summary yetRishi Bommasani et al.2025 · 1 citation
- On the Entropy Calibration of Language Models ↗neural information processing systems · no summary yetSteven Cao, Gregory Valiant, Percy Liang2025 · 1 citation
- Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing ↗arXiv (Cornell University) · no summary yetJustin W. Lin et al.2025 · 1 citation
- Vocal Sandbox: Continual Learning and Adaptation for Situated Human-Robot Collaboration ↗arXiv (Cornell University) · no summary yetJennifer Grannen et al.2024 · 1 citation
- VideoAgent: Self-Improving Video Generation ↗arXiv (Cornell University) · no summary yetAchint Soni et al.2024 · 1 citation
- Out-of-Domain Robustness via Targeted Augmentations ↗arXiv (Cornell University) · no summary yetIrena Gao et al.2023 · 1 citation
- Improving Representational Continuity via Continued Pretraining ↗arXiv (Cornell University) · no summary yetMichael Sun et al.2023 · 1 citation
- Simplifying Models with Unlabeled Output Data ↗arXiv (Cornell University) · no summary yetSang Michael Xie, Tengyu Ma, Percy Liang2021 · 1 citation
- When Covariate-shifted Data Augmentation Increases Test Error And How to Fix It ↗no summary yetSang Michael Xie et al.2019 · 1 citation
- Estimating Mixture Models via Mixtures of Polynomials ↗arXiv (Cornell University) · no summary yetSida Wang, Arun Tejasvi Chaganty, Percy Liang2016 · 1 citation
- A Dynamic Data Structure for Checking Hyperacyclicity ↗no summary yetPercy Liang, Nathan Srebro2005 · 1 citation
- DecodingTrust-Agent Platform (DTap): A Controllable and Interactive Red-Teaming Platform for AI Agents ↗arXiv (Cornell University) · no summary yetZhaorun Chen et al.2026
- Estimating near-verbatim extraction risk in language models with decoding-constrained beam search ↗arXiv (Cornell University) · no summary yetA. Feder Cooper et al.2026
- Insights from law for building and evaluating AI systems ↗Stanford Digital Repository · no summary yetNeel Guha et al.2026
- VLAW: Iterative Co-Improvement of Vision-Language-Action Policy and World Model ↗arXiv (Cornell University) · no summary yetYanjiang Guo et al.2026
- Data Scarcity and Model Sparsity: Mixtures-of-Experts Overfit More to Repeated Data ↗arXiv (Cornell University) · no summary yetAtindra Jha et al.2026
- Trustworthy oversight of machine learning via randomization ↗Stanford Digital Repository · no summary yetRohith Kuditipudi et al.2026
- Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pre-training ↗Findings of the Association for Computational Linguistics: EACL 2026 · no summary yetJeffrey Li et al.2026
- Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pretraining ↗arXiv (Cornell University) · no summary yetJeffrey Li et al.2026
- FLARE-AI: Flaw Reporting for AI ↗arXiv (Cornell University) · no summary yetShayne Longpre et al.2026
- DelusionEval: Measuring Delusion-Linked Behaviors in AI Chatbots ↗arXiv (Cornell University) · no summary yetJared Moore et al.2026
- Economic Evaluations of Language Models ↗arXiv (Cornell University) · no summary yetAlexander Wan et al.2026
- When RL Meets Adaptive Speculative Training: A Unified Training-Serving System ↗arXiv (Cornell University) · no summary yetJunxiong Wang et al.2026
- Priced Guidance: Can Language Models Generate Future Research Ideas? ↗arXiv (Cornell University) · no summary yetKaiyue Wen, Tengyu Ma, Percy Liang2026
- Multimodal Foundation Models for Healthcare ↗CRC Press eBooks · no summary yetMichihiro Yasunaga, Percy Liang2026
- MobileCybench: Evaluating Agent Vulnerability Discovery via Executable Probes ↗arXiv (Cornell University) · no summary yetAndy K. Zhang et al.2026
- Taming and leveraging inconsistencies in pretrained language models ↗Stanford Digital Repository · no summary yetTianyi Zhang et al.2026
- Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives ↗neural information processing systems · no summary yetSarah Huiyi Cen et al.2025
- Language Models Prefer What They Know: Relative Confidence Estimation via Confidence Preferences ↗arXiv (Cornell University) · no summary yetVaishnavi Shrivastava, Ananya Kumar, Percy Liang2025
- Simulating Human Behavior Based on Personal Interviews to Power Generative Agent-Based Models ↗no summary yetJoon-Sung Park et al.2024
- One-sided Matrix Completion from Two Observations Per Row ↗arXiv (Cornell University) · no summary yetSteven Cao, Percy Liang, Gregory Valiant2023
- Melody transcription via generative pre-training ↗arXiv (Cornell University) · no summary yetChris Donahue, John Thickstun, Percy Liang2022
- Overparameterization hurts worst-group accuracy with spurious correlations ↗International Conference on Machine Learning · no summary yetShiori Sagawa et al.2020
- Learning to Automate Social Engineering Resistance (LASER) ↗no summary yetDawn Xiaodong Song et al.2020
- DrRepair: A Self-Supervised, Graph-Attentional Approach to Repairing Programs from Diagnostic Feedback ↗International Conference on Machine Learning · no summary yetMichihiro Yasunaga, Percy Liang2020
- Task-Agnostic Robust Encodings for Combating Adversarial Typos ↗no summary yetErik Jones et al.2019
- 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】 ↗Proceedings of the ACM on Programming Languages · no summary yetShi Kensen, Jacob Steinhardt, Percy Liang2019
- Robust Deep Semantics for Language Understanding ↗no summary yetChristopher D. Manning, Dan Jurafsky, Percy Liang2018
- feature Talking to Computers in Natural Language ↗no summary yetPercy Liang, The Early Years2016
- Learning Semantic Parsers for Natural Language Understanding ↗no summary yetPercy Liang2016
- L.: Video event understanding using natural language descriptions ↗no summary yetVignesh Ramanathan, Percy Liang, Li Fei-Fei2015
- We first show that ‖ATY − Z‖2F is equivalent to −2tr ↗no summary yetVignesh Ramanathan et al.2015
- Journal of Machine Learning Research 1–11 Supplementary Material for Spectral Experts for Estimating Mixtures of Linear Regressions ↗no summary yetArun Tejasvi Chaganty et al.2014
- AND THE COMMITTEE ON GRADUATE STUDIES ↗no summary yetPercy Liang2014
- • Part 1: Dropout as adaptive regularization ↗no summary yetSida Wang et al.2014
- To appear in: The Handbook of Applied Bayesian Analysis ↗no summary yetPercy Liang et al.2009
- Chapter? of The Handbook of Applied Bayesian Analysis ↗no summary yetPercy Liang et al.2009
- A Data Structure for Maintaining . . . ↗no summary yetPercy Liang, Nathan Srebro2008
- SUBMITTED TO INT. CONF ON DOCUMENTS ANALYSIS AND RECOGNITION, 2005 1 Efficient Geometric Algorithms for Parsing in Two Dimensions ↗no summary yetPercy Liang et al.2008
- • Part-of-speech induction • Parsing and grammar induction • Word segmentation • Word alignment • Document summarization ↗no summary yetPercy Liang, Dan Klein, Coreference Resolution2007
- How Much of a Hypertree can be Captured by Windmills ↗no summary yetPercy Liang, Nathan Srebro2005
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