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Rui He

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#artificial intelligence Preprint Oct 2026

TCMClinicalReason-Bench: Can Language Models Reason from Pathogenesis to Prescription over Real-World Clinical Cases?

Large language models (LLMs) can generate clinical narratives that are insufficiently grounded in patient-specific evidence. In traditional Chinese medicine (TCM), errors can propagate from etiology and pathogenesis through syndrome diagnosis and treatment principles to prescription generation. We developed TCMClinical...

Ji Dai, Chen-Kai Zhang, Yan Jia et al. · 0 citations
Preprint Aug 2026

TDD-Agent: Test-Driven Reasoning for Code Generation

TDD-Agent is introduced, which operationalizes the test-driven development paradigm for code generation and improves not only code correctness but also the effectiveness of the generated tests, yielding higher pass rates, coverage, and mutation scores, suggesting that tests can serve as evolving reasoning artifacts rat...

Hong Yu, Ke-Fan Li, Jia-Kun Li et al. · 2 citations

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