collaborators

14 papers

cs.AI2026

HAS-Bench: Evaluating LLM-Based Human-Agent Systems under Configurable Human Participation

Yaozu Wu, Wei-Chieh Huang, Jizhou Guo +11

Large language models increasingly operate in settings where humans are active collaborators rather than passive task providers. We introduce HAS-Framework, a graph-based framework…

cs.CL2026

MEMPROBE: Probing Long-Term Agent Memory via Hidden User-State Recovery

Enze Ma, Yufan Zhou, Wei-Chieh Huang +7

Long-term memory promises LLM agents that grow more capable across sessions, maintaining an accurate, evolving understanding of the user that interaction forms. In practice, howeve…

cs.LG2026

A Deployment Audit of Release-Side Risk in Conformal Triage under Prevalence Shift

Chengze Li, Xiao Liu, Hanrong Zhang +7

Conformal triage converts predictive scores into deployment actions that either release a case, flag it for urgent attention, or defer it to human review. Under an observed change…

cs.AI2026

TodyComm: Task-Oriented Dynamic Communication for Multi-Round LLM-based Multi-Agent System

Wenzhe Fan, Tommaso Tognoli, Henry Peng Zou +3

Multi-round LLM-based multi-agent systems rely on effective communication structures to support collaboration across rounds. However, most existing methods employ a fixed communica…

cs.CL2026

LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey

Henry Peng Zou, Wei-Chieh Huang, Yaozu Wu +17

Recent advances in large language models (LLMs) have sparked growing interest in building fully autonomous agents. However, fully autonomous LLM-based agents still face significant…

cs.SE2026

MultiFileTest: A Multi-File-Level LLM Unit Test Generation Benchmark and Impact of Error Fixing Mechanisms

Yibo Wang, Congying Xia, Wenting Zhao +5

Unit test generation has become a promising and important Large Language Model (LLM) use case. However, existing evaluation benchmarks for LLM unit test generation focus on functio…