Fei-Fei, Li

s1: Simple test-time scaling

Muennighoff, N., Yang, Z., Shi, W., Li, X. L., Fei-Fei, L., Hajishirzi, H., Zettlemoyer, L., Liang, P., Candes, E., & Hashimoto, T. (2025) · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 76

Agent AI: Surveying the Horizons of Multimodal Interaction

Durante, Z., Huang, Q., Wake, N., Gong, R., Park, J. S., Sarkar, B., Taori, R., Noda, Y., Terzopoulos, D., Choi, Y., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsSpeech and dialogue systems

Cited by 75

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Mandlekar, A., Xu, D., Wong, J., Nasiriany, S., Wang, C., Kulkarni, R., Fei-Fei, L., Savarese, S., Zhu, Y., & Martín-Martín, R. (2021) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 66

Automatic detection of hand hygiene using computer vision technology

Singh, A., Haque, A., Alahi, A., Yeung, S., Guo, M., Glassman, J. R., Beninati, W., Platchek, T., Fei-Fei, L., & Milstein, A. (2020) · Journal of the American Medical Informatics Association

Infection Control in HealthcareHand Gesture Recognition Systems

Cited by 61

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks

Li, C., Xia, F., Martín-Martín, R., Lingelbach, M., Srivastava, S., Shen, B., Vainio, K., Gokmen, C., Dharan, G., Jain, T., et al. (2021) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 58

BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments

Srivastava, S., Li, C., Lingelbach, M., Martín-Martín, R., Xia, F., Vainio, K., Lian, Z., Gokmen, C., Buch, S., Liu, C. K., et al. (2021) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 55

Learning Multi-Arm Manipulation Through Collaborative Teleoperation

Tung, A., Wong, J., Mandlekar, A., Martín-Martín, R., Zhu, Y., Fei-Fei, L., & Savarese, S. (2020) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 49

Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity

Mandlekar, A., Booher, J., Spero, M., Tung, A., Gupta, A., Zhu, Y., Garg, A., Savarese, S., & Fei-Fei, L. (2019) · arXiv

Robot Manipulation and LearningTeleoperation and Haptic Systems

Cited by 48

MimicPlay: Long-horizon imitation learning by watching human play

Wang, C., Fan, L., Sun, J., Zhang, R., Fei-Fei, L., Xu, D., Zhu, Y., & Anandkumar, A. (2023) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 43

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

Johnson, J., Hariharan, B., van der Maaten, L., Fei-Fei, L., Zitnick, C. L., & Girshick, R. (2016) · arXiv

Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection

Cited by 40

Human-in-the-Loop Imitation Learning using Remote Teleoperation

Mandlekar, A., Xu, D., Martín-Martín, R., Zhu, Y., Fei-Fei, L., & Savarese, S. (2020) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 35

ADAPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems

Harrison, J., Garg, A., Ivanovic, B., Zhu, Y., Savarese, S., Fei-Fei, L., & Pavone, M. (2017) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 21

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making

Li, M., Zhao, S., Wang, Q., Wang, K., Zhou, Y., Srivastava, S., Gokmen, C., Lee, T., Li, L. E., Zhang, R., et al. (2024) · arXiv

Robot Manipulation and LearningAI-based Problem Solving and Planning

Cited by 21

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making

Li, M., Zhao, S., Wang, Q., Wang, K., Zhou, Y., Srivastava, S., Gokmen, C., Lee, T., Li, L., Zhang, R., et al. (2024) · Advances in Neural Information Processing Systems 37

Robot Manipulation and LearningAI-based Problem Solving and Planning

Cited by 21

Evidence for similar patterns of neural activity elicited by picture- and word-based representations of natural scenes

Kumar, M., Federmeier, K. D., Fei-Fei, L., & Beck, D. M. (2017) · NeuroImage

Neurobiology of Language and BilingualismMultisensory perception and integration

Cited by 20

Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation

Wong, J., Tung, A., Kurenkov, A., Mandlekar, A., Fei-Fei, L., Savarese, S., & Martín-Martín, R. (2021) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 19

HourVideo: 1-Hour Video-Language Understanding

Chandrasegaran, K., Gupta, A., Hadzic, L. M., Kota, T., He, J., Eyzaguirre, C., Durante, Z., Li, M., Wu, J., & Fei-Fei, L. (2024) · arXiv

Multimodal Machine Learning ApplicationsNatural Language Processing Techniques

Cited by 17

WorldScore: A Unified Evaluation Benchmark for World Generation

Duan, H., Yu, H.-X., Chen, S., Fei-Fei, L., & Wu, J. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisComputer Graphics and Visualization Techniques

Cited by 17

Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

Mandlekar, A., Xu, D., Martín-Martín, R., Savarese, S., & Fei-Fei, L. (2020) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 17

Chain of Code: Reasoning with a Language Model-Augmented Code Emulator

Li, C., Liang, J., Zeng, A., Chen, X., Hausman, K., Sadigh, D., Levine, S., Fei-Fei, L., Xia, F., & Ichter, B. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 16

s1: Simple test-time scaling

Muennighoff, N., Yang, Z., Shi, W., Li, X. L., Fei-Fei, L., Hajishirzi, H., Zettlemoyer, L., Liang, P., Candès, E., & Hashimoto, T. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 12

BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation

Li, C., Zhang, R., Wong, J., Gokmen, C., Srivastava, S., Martín-Martín, R., Wang, C., Levine, G., Ai, W., Martinez, B., et al. (2024) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 6

MindAgent: Emergent Gaming Interaction

Gong, R., Huang, Q., Ma, X., Vo, H., Durante, Z., Noda, Y., Zheng, Z., Zhu, S.-C., Terzopoulos, D., Fei-Fei, L., et al. (2023) · arXiv

Artificial Intelligence in GamesMulti-Agent Systems and Negotiation

Cited by 1