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Percy Liang

Stanford University, Computer Science Department

35 papers at tracked venues · 32 at CORE A* · active 2024–2026

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Venues

ICML ×11NeurIPS ×11ICLR ×9AAAI ×1EACL ×1EMNLP ×1NAACL ×1

Frequent coauthors

Xiang Lisa Li
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Chenchen Gu
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Andy K. Zhang
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Shayne Longpre
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Jeffrey Li
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Yi Zeng
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Sarah H. Cen
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Yusuf H. Roohani
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Rohith Kuditipudi
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Yuxuan Zhu
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Sally Zhu
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Ken Liu
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Papers

  1. Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pre-training
    EACL 2026 ·
    Jeffrey Li
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  2. AIR-BENCH 2024: A Safety Benchmark based on Regulation and Policies Specified Risk Categories
    ICLR 2025 ·
    Yi Zeng
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  3. Auditing Prompt Caching in Language Model APIs
    ICML 2025 ·
    Chenchen Gu
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  4. Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives
    NeurIPS 2025 ·
    Sarah H. Cen
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  5. AutoBencher: Towards Declarative Benchmark Construction
    ICLR 2025 ·
    Xiang Lisa Li
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  6. BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments
    ICLR 2025 ·
    Yusuf H. Roohani
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  7. Blackbox Model Provenance via Palimpsestic Membership Inference
    NeurIPS 2025 ·
    Rohith Kuditipudi
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  8. BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems
    NeurIPS 2025 ·
    Andy K. Zhang
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  9. Eliciting Language Model Behaviors with Investigator Agents
    ICML 2025 ·
    Xiang Lisa Li
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  10. Establishing Best Practices in Building Rigorous Agentic Benchmarks
    NeurIPS 2025 ·
    Yuxuan Zhu
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  11. Independence Tests for Language Models
    ICML 2025 ·
    Sally Zhu
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  12. Language Models May Verbatim Complete Text They Were Not Explicitly Trained On
    ICML 2025 ·
    Ken Liu
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  13. LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain
    NAACL 2025 ·
    Joel Niklaus
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  14. MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering
    NeurIPS 2025 ·
    Rushi Qiang
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  15. Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research
    NeurIPS 2025 ·
    A. Feder Cooper
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  16. Model Equality Testing: Which Model is this API Serving?
    ICLR 2025 ·
    Irena Gao
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  17. On the Entropy Calibration of Language Models
    NeurIPS 2025 ·
    Steven Cao
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  18. Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI
    ICML 2025 ·
    Shayne Longpre
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  19. Position: Language model developers should report train-test overlap
    ICML 2025 ·
    Andy K. Zhang
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  20. Reliable and Efficient Amortized Model-based Evaluation
    ICML 2025 ·
    Sang T. Truong
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  21. Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape View
    ICLR 2025 ·
    Kaiyue Wen
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  22. s1: Simple test-time scaling
    EMNLP 2025 ·
    Niklas Muennighoff
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  23. Benchmarking and Improving Generator-Validator Consistency of Language Models
    ICLR 2024 ·
    Xiang Lisa Li
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  24. Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making
    NeurIPS 2024 ·
    Manling Li
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  25. Image2Struct: Benchmarking Structure Extraction for Vision-Language Models
    NeurIPS 2024 ·
    Josselin Somerville Roberts
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  26. Large Language Models as Analogical Reasoners
    ICLR 2024 ·
    Michihiro Yasunaga
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  27. MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation
    ICML 2024 ·
    Qian Huang
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  28. MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
    AAAI 2024 ·
    Scott L. Fleming
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  29. On the Learnability of Watermarks for Language Models
    ICLR 2024 ·
    Chenchen Gu
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  30. Position: A Safe Harbor for AI Evaluation and Red Teaming
    ICML 2024 ·
    Shayne Longpre
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  31. Position: On the Societal Impact of Open Foundation Models
    ICML 2024 ·
    Sayash Kapoor
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  32. Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
    ICML 2024 ·
    Siddharth Karamcheti
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  33. RedPajama: an Open Dataset for Training Large Language Models
    NeurIPS 2024 ·
    Maurice Weber
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  34. Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
    ICLR 2024 ·
    Hong Liu
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  35. VHELM: A Holistic Evaluation of Vision Language Models
    NeurIPS 2024 ·
    Tony Lee
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