Social Cognitive AI (SCAI) Lab

Publications

Preprint

COMBO: Compositional World Models for Embodied Multi-Agent Cooperation
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation
Hongxin Zhang, Zeyuan Wang, Qiushi Lyu, Zheyuan Zhang, Sunli Chen, Tianmin Shu, Yilun Du, Chuang Gan
arXiv preprint
MuMA-ToM: Multi-modal Multi-Agent Theory of Mind
MuMA-ToM: Multi-modal Multi-Agent Theory of Mind
Haojun Shi*, Suyu Ye*, Xinyu Fang, Chuanyang Jin, Leyla Isik, Yen-Ling Kuo, Tianmin Shu
arXiv preprint
SIFToM: Robust Spoken Instruction Following through Theory of Mind
SIFToM: Robust Spoken Instruction Following through Theory of Mind
Lance Ying, Jason Xinyu Liu*, Shivam Aarya*, Yizirui Fang, Stefanie Tellex, Joshua B. Tenenbaum, Tianmin Shu
arXiv preprint
Generative World Explorer
Generative World Explorer
Taiming Lu, Tianmin Shu, Alan Yuille, Daniel Khashabi, Jieneng Chen
arXiv preprint

2024

Few-Shot Task Learning through Inverse Generative Modeling
Few-Shot Task Learning through Inverse Generative Modeling
Aviv Netanyahu, Yilun Du, Antonia Bronars, Jyothish Pari, Joshua Tenenbaum, Tianmin Shu, Pulkit Agrawal
NeurIPS 2024
Constrained Human-AI Cooperation: An Inclusive Embodied Social Intelligence Challenge
Constrained Human-AI Cooperation: An Inclusive Embodied Social Intelligence Challenge
Weihua Du*, Qiushi Lyu*, Jiaming Shan, Zhenting Qi, Hongxin Zhang, …, Andi Peng, Tianmin Shu, Kwonjoon Lee, Behzad Dariush, Chuang Gan
NeurIPS 2024
MMToM-QA: Multimodal Theory of Mind Question Answering
MMToM-QA: Multimodal Theory of Mind Question Answering
Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ulman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu
ACL 2024 (Outstanding Paper Award)
An asynchronous, automated workflow for looking time experiments with infants
An asynchronous, automated workflow for looking time experiments with infants
Gal Raz, Sabrina Piccolo, Janine Medrano, Shari Liu, Kirsten Lydic, Catherine Mei, Victoria Nguyen, Tianmin Shu, Rebecca Saxe
Developmental Psychology
Building Cooperative Embodied Agents Modularly with Large Language Models
Building Cooperative Embodied Agents Modularly with Large Language Models
Hongxin Zhang, Weihua Du, Jiaming Shan, Qinhong Zhou, Yilun Du, Joshua B. Tenenbaum, Tianmin Shu, Chuang Gan
ICLR 2024
Risk-Bounded Online Team Interventions via Theory of Mind
Risk-Bounded Online Team Interventions via Theory of Mind
Yuening Zhang, Paul Robertson, Tianmin Shu, Sungkweon Hong, Brian C. Williams
ICRA 2024
Neural Amortized Inference for Nested Multi-agent Reasoning
Neural Amortized Inference for Nested Multi-agent Reasoning
Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum, Tianmin Shu
AAAI 2024

2023

Language Models Meet World Models: Embodied Experiences Enhance Language Models
Language Models Meet World Models: Embodied Experiences Enhance Language Models
Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu
NeurIPS 2023
Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
Dianbo Liu*, Vedant Shah*, Oussama Boussif*, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Mozer, Nicolas Heess, Yoshua Bengio
ICLR 2023
Zero-shot linear combinations of grounded social interactions with Linear Social MDPs
Zero-shot linear combinations of grounded social interactions with Linear Social MDPs
Ravi Tejwani*, Yen-Ling Kuo*, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu
AAAI 2023

2022

RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric Xing, Zhiting Hu
EMNLP 2022
Incorporating Rich Social Interactions Into MDPs
Incorporating Rich Social Interactions Into MDPs
Ravi Tejwani*, Yen-Ling Kuo*, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu
ICRA 2022 (Excellent Paper Award at IROS Cognitive and Social Aspects of Human Multi-Robot Interaction Workshop, 2022)

2021

Social Interactions as Recursive MDPs
Social Interactions as Recursive MDPs
Ravi Tejwani*, Yen-Ling Kuo*, Tianmin Shu, Boris Katz, Andrei Barbu
CoRL 2021
AGENT: A Benchmark for Core Psychological Reasoning
AGENT: A Benchmark for Core Psychological Reasoning
Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth Spelke, Joshua B. Tenenbaum, Tomer D. Ullman
ICML 2021
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration
Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Yuan-Hong Liao, Joshua B. Tenenbaum, Sanja Fidler, Antonio Torralba, Andrei Barbu
ICLR 2021 (Best Paper Award at NeurIPS Cooperative AI Workshop, 2020)
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception
Aviv Netanyahu*, Tianmin Shu*, Boris Katz, Andrei Barbu, Joshua B. Tenenbaum
AAAI 2021 (Best Paper Award at NeurIPS Shared Visual Representations in Human and Machine Intelligence Workshop, 2020)
Exploring Biological Motion Perception in Two-stream Convolutional Neural Networks
Exploring Biological Motion Perception in Two-stream Convolutional Neural Networks
Yujia Peng, Hannah Lee, Tianmin Shu, Hongjing Lu
Vision Research

2020

Adventures in Flatland: Perceiving Social Interactions Under Physical Dynamics
Adventures in Flatland: Perceiving Social Interactions Under Physical Dynamics
Tianmin Shu, Marta Kryven, Tomer D. Ullman, Joshua B. Tenenbaum
CogSci 2020
Active Visual Information Gathering for Vision-Language Navigations
Active Visual Information Gathering for Vision-Language Navigations
Hanqing Wang, Wenguan Wang, Tianmin Shu, Wei Liang, Jianbing Shen
ECCV 2020
Learning to Infer Human Attention in Daily Activities
Learning to Infer Human Attention in Daily Activities
Zhixiong Nan, Tianmin Shu, Ran Gong, Shu Wang, Ping Wei, Song-Chun Zhu, Nanning Zheng
Pattern Recognition

For papers published before 2020, please check out here.