collaborators

5 papers

cs.AI2026

AgentPolicyForge: From Executable Environments to Policy Benchmarks and Adaptive Guards

Chao Shang, Wanyu Du, Yi Zhang +1

Customized agent deployments define policies over tools, resources, and execution conditions. Providing these policies in the task agent's prompt does not reliably prevent violatio…

cs.CL2026

Relational Priors as Convergence Pressure in LLM-Based Multi-Agent Systems

Ming Shen, Chao Shang, Sadat Shahriar +4

Large language model-based multi-agent systems (LLM-MAS) are designed through roles, debate protocols, and aggregation rules. These choices create implicit expectations of trust, s…

cs.CV2025

Capturing Gaze Shifts for Guidance: Cross-Modal Fusion Enhancement for VLM Hallucination Mitigation

Zheng Qi, Chao Shang, Evangelia Spiliopoulou +1

Vision language models (VLMs) often generate hallucination, i.e., content that cannot be substantiated by either textual or visual inputs. Prior work primarily attributes this to o…

cs.CL2025

Peacemaker or Troublemaker: How Sycophancy Shapes Multi-Agent Debate

Binwei Yao, Chao Shang, Wanyu Du +6

Large language models (LLMs) often display sycophancy, a tendency toward excessive agreeability. This behavior poses significant challenges for multi-agent debating systems (MADS)…

cs.CR2025

STAC: When Innocent Tools Form Dangerous Chains for LLM Agents

Jing-Jing Li, Jianfeng He, Chao Shang +6

As LLMs advance into autonomous agents with tool-use capabilities, they introduce security challenges that extend beyond traditional content-based LLM safety concerns. This paper i…