Papers by Hongxin Xiang

1 papers
Med-SRAF: A Multi-Agent Framework for Medical Reasoning via Semantic Routing and Agentic Fusion (2026.findings-acl)

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Challenge: Existing RAG methods suffer from a two-part problem: semantic drift and concatenation fallacy . et al.: rapid development of Large Language Models has led to a paradigm shift in artificial intelligence .
Approach: They propose a multi-agent retrieval augmentation framework guided by medical domain knowledge to address these challenges.
Outcome: The proposed framework outperforms existing general RAG baselines on five widely used medical benchmarks.

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