3 papers
cs.CL2026
Post-Training Recipe, More Than Model Family, Shapes Multi-Agent LLM Conversational Behavior
Luyang Zhang, Jialu Wang, Fei Xue +1
Multi-LLM systems use multiple language models to deliberate, judge each other's outputs, or coordinate as agents. Their value depends on the models producing measurably different…
cs.CY2026
Toward Agentic Governance: What Shapes LLM-Agent Intervention in Public Forums?
Luyang Zhang, Yi-Yun Chu, Ramayya Krishnan
LLM agents are increasingly used in moderation-relevant public forum workflows, where their choices to answer, acknowledge, repair, or decline are routinely challenged by users, pl…
cs.CY2026
Do Agents Repair When Challenged -- or Just Reply? Challenge, Repair, and Public Correction in a Deployed Agent Forum
Luyang Zhang, Yi-Yun Chu, Jialu Wang +2
As large language model (LLM) agents are deployed in public interactive settings, a key question is whether their communities can sustain challenge, repair, and public correction,…