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

4 citations · 13 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2026

Amplified Does Not Mean Predictive: Reasoning Behaviors in Thinking Models

Jean de Dieu Nyandwi, Leena Mathur, Yonatan Bisk +2

Which reasoning behaviors are associated with correct answers in reasoning models, and does reasoning-oriented training amplify those behaviors? This distinction is important becau…

cs.CY2026

Public Perceptions and Acceptance of Socially Intelligent AI Agents

Leena Mathur, Jenny T. Liang, Vasudha Varadarajan +6

AI researchers have been advancing socially intelligent AI agents (Social-AI) across embodiments, from chatbots to physical robots. As Social-AI agents move from labs into everyday…

cs.CL2026

Social Caption: Evaluating Social Understanding in Multimodal Models

Leena Mathur, Bhaavanaa Thumu, Youssouf Kebe +1

Social understanding abilities are crucial for multimodal large language models (MLLMs) to interpret human social interactions. We introduce SOCIAL CAPTION, a framework grounded in…

cs.CV2025★ 2 cited

OpenFace 3.0: A Lightweight Multitask System for Comprehensive Facial Behavior Analysis

Jiewen Hu, Leena Mathur, Paul Pu Liang +1

In recent years, there has been increasing interest in automatic facial behavior analysis systems from computing communities such as vision, multimodal interaction, robotics, and a…

cs.CL2025★ 2 cited

Social Genome: Grounded Social Reasoning Abilities of Multimodal Models

Leena Mathur, Marian Qian, Paul Pu Liang +1

Social reasoning abilities are crucial for AI systems to effectively interpret and respond to multimodal human communication and interaction within social contexts. We introduce SO…

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.HC2024★ 2 cited

Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questions

Leena Mathur, Paul Pu Liang, Louis-Philippe Morency

Building socially-intelligent AI agents (Social-AI) is a multidisciplinary, multimodal research goal that involves creating agents that can sense, perceive, reason about, learn fro…

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…