1 citations · 1 across the 9 of their papers we have counts for
10 papers
Harness the Memory: A Holistic Evaluation of Memory Substrates in Memory Agents
Wei-Chieh Huang, Weizhi Zhang, Yuchen Wu +12
Memory is becoming core infrastructure for long-horizon LLM agents, yet existing evaluations offer limited guidance on which memory substrate, namely the underlying medium in which…
QUACK: Questioning, Understanding, and Auditing Communicated Knowledge in Multimodal Social Deduction Agents
Ye Yuan, Rui Song, Weien Li +12
Social deduction games have become a popular testbed for probing reasoning, deception, coordination, and belief modeling in Large Language Model (LLM) agents. However, most environ…
Beyond Message Passing: A Semantic View of Agent Communication Protocols
Dun Yuan, Fuyuan Lyu, Ye Yuan +11
Agent communication protocols are becoming critical infrastructure for large language model (LLM) systems that must use tools, coordinate with other agents, and operate across hete…
"I Use ChatGPT to Humanize My Words": Affordances and Risks of ChatGPT to Autistic Users
Renkai Ma, Ben Zefeng Zhang, Chen Chen +4
Large Language Model (LLM) chatbots like ChatGPT have emerged as cognitive scaffolding for autistic users, yet the tension between their utility and risk remains under-articulated.…
LLM Use for Mental Health: Crowdsourcing Users' Sentiment-based Perspectives and Values from Social Discussions
Lingyao Li, Xiaoshan Huang, Renkai Ma +4
Large language models (LLMs) chatbots like ChatGPT are increasingly used for mental health support. They offer accessible, therapeutic support but also raise concerns about misinfo…
Can LLM Agents Really Debate? A Controlled Study of Multi-Agent Debate in Logical Reasoning
Haolun Wu, Zhenkun Li, Lingyao Li
Multi-agent debate (MAD) has recently emerged as a promising framework for improving the reasoning performance of large language models (LLMs). Yet, whether LLM agents can genuinel…
PartnerMAS: An LLM Hierarchical Multi-Agent Framework for Business Partner Selection on High-Dimensional Features
Lingyao Li, Haolun Wu, Zhenkun Li +5
High-dimensional decision-making tasks, such as business partner selection, involve evaluating large candidate pools with heterogeneous numerical, categorical, and textual features…
Linking Facial Recognition of Emotions and Socially Shared Regulation in Medical Simulation
Xiaoshan Huang, Tianlong Zhong, Haolun Wu +4
Computer-supported simulation enables a practical alternative for medical training purposes. This study investigates the co-occurrence of facial-recognition-derived emotions and so…
SSRLBot: Designing and Developing a Large Language Model-based Agent using Socially Shared Regulated Learning
Xiaoshan Huang, Jie Gao, Haolun Wu
Large language model (LLM)--based agents have emerged as pivotal tools in assisting human experts across various fields by transforming complex tasks into more efficient workflows…
What Makes Teamwork Work? A Multimodal Case Study on Emotions and Diagnostic Expertise in an Intelligent Tutoring System
Xiaoshan Huang, Haolun Wu, Xue Liu +1
Teamwork is pivotal in medical teamwork when professionals with diverse skills and emotional states collaborate to make critical decisions. This case study examines the interplay b…