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Zi-Wei Zhu

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#machine learning Preprint Sep 2026

Giving Credit Where It's Due: Redundancy-Aware Learning for Efficient Reasoning

This work introduces RECAP (REdundancy-aware Credit Assignment via Propagation), which addresses this limitation by assigning credit where it is due based on both a step's downstream role in the reasoning structure and its contribution to solving the problem correctly.

Yu-Qing Zhou, Hong Wang, Man-Qing Mao et al. · 0 citations
#artificial intelligence Preprint Apr 2026

VeriSim: A Configurable Framework for Stress-Testing Medical AI Under Patient Communication Noise

VeriSim is introduced, a patient simulation framework that injects controllable noise along six clinically grounded communication dimensions while substantially preserving each patient's medical record and is released as an open-source framework for rigorous stress-testing of clinical AI.

Sina Mansouri, Mohit Marvania, Vibhavari Ashok Shihorkar et al. · 0 citations

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