activity
20232026
most citedSOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents

4 citations · 9 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

DynThinker: Unifying Static 3D and Dynamic 4D Spatial Reasoning

Qihang Cao, Haoyuan Li, Zihan Guo +8

Achieving general spatial intelligence requires a unified understanding of both static 3D and dynamic 4D. However, we find that existing models struggle to excel at both: 3D post-t…

q-bio.NC2026

CTM-AI: A Blueprint for General AI Inspired by a Model of Consciousness

Haofei Yu, Yining Zhao, Lenore Blum +2

Despite remarkable advances, today's AI systems remain narrow in scope, falling short of the flexible, adaptive, and multisensory intelligence that characterizes human capabilities…

cs.CL2025

Sotopia-RL: Reward Design for Social Intelligence

Haofei Yu, Zhengyang Qi, Yining Zhao +6

Social intelligence has become a critical capability for large language models (LLMs), enabling them to engage effectively in real-world social tasks such as collaboration and nego…

cs.LG2025

MINT: Multimodal Instruction Tuning with Multimodal Interaction Grouping

Xiaojun Shan, Qi Cao, Xing Han +2

Recent advances in multimodal foundation models have achieved state-of-the-art performance across a range of tasks. These breakthroughs are largely driven by new pre-training parad…

cs.LG2024★ 3 cited

HEMM: Holistic Evaluation of Multimodal Foundation Models

Paul Pu Liang, Akshay Goindani, Talha Chafekar +4

Multimodal foundation models that can holistically process text alongside images, video, audio, and other sensory modalities are increasingly used in a variety of real-world applic…

cs.CL2024★ 1 cited

SOTOPIA-: Interactive Learning of Socially Intelligent Language Agents

Ruiyi Wang, Haofei Yu, Wenxin Zhang +5

Humans learn social skills through both imitation and social interaction. This social learning process is largely understudied by existing research on building language agents. Mot…

cs.CL2023★ 1 cited

MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts

Haofei Yu, Zhengyang Qi, Lawrence Jang +3

Advances in multimodal models have greatly improved how interactions relevant to various tasks are modeled. Today's multimodal models mainly focus on the correspondence between ima…

cs.AI2023★ 4 cited

SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents

Xuhui Zhou, Hao Zhu, Leena Mathur +8

Humans are social beings; we pursue social goals in our daily interactions, which is a crucial aspect of social intelligence. Yet, AI systems' abilities in this realm remain elusiv…