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#artificial intelligence Review Oct 2026

TrustMed-RL: Long-Horizon Reinforcement Learning for Evidence-Grounded Clinical Diagnosis

Medical language models can produce correct diagnoses despite incomplete investigations and unsupported reasoning. To support long-horizon, evidence-grounded diagnosis, we introduce \textbf{TrustMed-RL}. Built from PubMed rare-disease cases and over 24,000 manually annotated image panels, it integrates interviews, exam...

Wen-Xin Zhan, Yi-Zheng Jiao, Hai-Feng Song et al. · 0 citations
#machine learning Preprint Sep 2026

Rethinking the Evaluation of Efficiency Methods for Multi-Agent Systems

This work introduces a controlled and MAS-demanding diagnostic benchmark for representative MAS efficiency methods and shows that many reported gains are setup-dependent and may arise from structural collapse, disabled tool pathways, or starting systems where random pruning already preserves accuracy, rather than robus...

Jia-Mu Zhang, Ling-Xi Zhang, Peng-Jun Lu et al. · 2 citations

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