most citedSSRLBot: Designing and Developing a Large Language Model-based Agent using Socially Shared Regulated Learning

1 citations · 1 across the 4 of their papers we have counts for

collaborators

8 papers

cs.NI2026

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…

cs.HC2026

"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.…

cs.CY2025

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…

cs.MA2025

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…

cs.MA2025

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…

cs.HC2025

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…