Muzhi Li
2 indexed papers
Recent (6 mo)
2With code
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226
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NLP×2Info Retrieval×1Multiagent×1AI×1Crypto×1
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2026
Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security
This survey provides a comprehensive, practical guide to ensuring the trustworthiness of complex, autonomous agentic AI systems by focusing on safety, robustness, privacy, and system security.
FinSAgent: Corpus-Aligned Multi-Agent RAG Framework for Evidence-Grounded SEC Filing Question Answering
This paper proposes FinSAgent, an evidence-grounded multi-agent framework for financial question answering over SEC filings, which improves retrieval coverage and answer correctness through corpus-side conditioning.
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Papers
cs.IRcs.CLcs.MAEmpiricalRecentJul 20, 2026
FinSAgent: Corpus-Aligned Multi-Agent RAG Framework for Evidence-Grounded SEC Filing Question Answering
Jijun Chi, Zhenghan Tai, Hanwei Wu, Tung Sum Thomas Kwok +19 more
This paper proposes FinSAgent, an evidence-grounded multi-agent framework for financial question answering over SEC filings, which improves retrieval coverage and answer correctness through corpus-sid…
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cs.AIcs.CLcs.CRRecent