Liang, Percy

MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Huang, Q., Vora, J., Liang, P., & Leskovec, J. (2023) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 9

The 2024 Foundation Model Transparency Index

Bommasani, R., Klyman, K., Kapoor, S., Longpre, S., Xiong, B., Maslej, N., & Liang, P. (2024) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 8

Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models

Karamcheti, S., Nair, S., Balakrishna, A., Liang, P., Kollar, T., & Sadigh, D. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 7

Introducing v0.5 of the AI Safety Benchmark from MLCommons

Vidgen, B., Agrawal, A., Ahmed, A. M., Akinwande, V., Al-Nuaimi, N., Alfaraj, N., Alhajjar, E., Aroyo, L., Bavalatti, T., Bartolo, M., et al. (2024) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 5

Establishing Best Practices for Building Rigorous Agentic Benchmarks

Zhu, Y., Jin, T., Pruksachatkun, Y., Zhang, A., Liu, S., Cui, S., Kapoor, S., Longpre, S., Meng, K., Weiss, R., et al. (2025) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 2

Has the Machine Learning Review Process Become More Arbitrary as the Field Has Grown? The NeurIPS 2021 Consistency Experiment

Beygelzimer, A., Dauphin, Y. N., Liang, P., & Vaughan, J. W. (2023) · arXiv

Academic Writing and PublishingPsychology Research and Bibliometrics

Cited by 2

AIR-Bench 2024: A Safety Benchmark Based on Risk Categories from Regulations and Policies

Zeng, Y., Yang, Y., Zhou, A., Tan, J. Z., Tu, Y., Mai, Y., Klyman, K., Pan, M., Jia, R., Song, D., et al. (2024) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 1

Model Editing with Canonical Examples

Hewitt, J., Chen, S., Xie, L. L., Adams, E., Liang, P., & Manning, C. D. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 1

Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Kim, M. J., Finn, C., & Liang, P. (2025) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 1

Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation

Kapoor, S., Stroebl, B., Kirgis, P., Nadgir, N., Siegel, Z. S., Wei, B., Xue, T., Chen, Z., Chen, F., Utpala, S., et al. (2025) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 0

Establishing Best Practices in Building Rigorous Agentic Benchmarks

Zhu, Y., Jin, T., Pruksachatkun, Y., Zhang, A., Liu, S., Cui, S., Kapoor, S., Longpre, S., Meng, K., Weiss, R., et al. (2025) · Advances in Neural Information Processing Systems 38

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 0

Model equality testing: Which model is this api serving?

Gao, I., Liang, P., & Guestrin, C. (2024) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 0

Self-Verified Distillation: Your Language Model Is Secretly Its Own Synthetic Data Pipeline

Lee, T., & Liang, P. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0