Gutfreund, Dan

Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning

Chen, Z., Zhou, Q., Shen, Y., Hong, Y., Sun, Z., Gutfreund, D., & Gan, C. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsLogic, Reasoning, and Knowledge

Cited by 48

AGENT: A Benchmark for Core Psychological Reasoning

Shu, T., Bhandwaldar, A., Gan, C., Smith, K. A., Liu, S., Gutfreund, D., Spelke, E., Tenenbaum, J. B., & Ullman, T. D. (2021) · arXiv

Child and Animal Learning DevelopmentAI-based Problem Solving and Planning

Cited by 34

3DP3: 3D Scene Perception via Probabilistic Programming

Gothoskar, N., Cusumano-Towner, M., Zinberg, B., Ghavamizadeh, M., Pollok, F., Garrett, A., Tenenbaum, J. B., Gutfreund, D., & Mansinghka, V. K. (2021) · arXiv

3D Shape Modeling and AnalysisRobot Manipulation and Learning

Cited by 18

The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI

Gan, C., Zhou, S., Schwartz, J., Alter, S., Bhandwaldar, A., Gutfreund, D., Yamins, D. L. K., DiCarlo, J. J., McDermott, J., Torralba, A., et al. (2021) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 13

M+: Extending MemoryLLM with Scalable Long-Term Memory

Wang, Y., Krotov, D., Hu, Y., Gao, Y., Zhou, W., McAuley, J., Gutfreund, D., Feris, R., & He, Z. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1