Guanhua Chen
2 indexed papers
Recent (6 mo)
2With code
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226
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ML×1AI×1Crypto×1NLP×1
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Research Timeline
2026
Trust No Tool: Evaluating and Defending LLM Agents under Untrusted Tool Feedback
The paper introduces a new security benchmark and framework to defend LLM agents against 'cognitive poisoning,' where malicious tools build trust through benign feedback before executing a harmful final action.
APPO: Agentic Procedural Policy Optimization
This paper proposes a new method for agentic Reinforcement Learning called Agentic Procedural Policy Optimization (APPO) that improves tool-use capabilities by assigning credit to fine-grained decision points.
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Papers
cs.LGcs.AIEmpiricalRecentJun 10, 2026
APPO: Agentic Procedural Policy Optimization
Xucong Wang, Ziyu Ma, Yong Wang, Yuxiang Ji +4 more
This paper proposes a new method for agentic Reinforcement Learning called Agentic Procedural Policy Optimization (APPO) that improves tool-use capabilities by assigning credit to fine-grained decisio…
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cs.CRcs.CLRecent