Reinforcement Fine-Tuning (RFT) has enabled medical Multimodal Large Language Models (MLLMs) to produce Chain-of-Thought (CoT) reasoning for visual question answering, yet these models suffer from $\textit{confidence miscalibration}$---a systematic gap between expressed certainty and actual diagnostic accuracy that und...
Yuetian Du, Yu-Cheng Wang, Zhenyuan Chen et al.· Lecture notes in computer sc...· 0 citations
A diagnostic benchmark for open-domain, open-form, long-horizon counterfactual causal reasoning, containing 220 what-if questions across STEM, HSS, and Hybrid scenarios, and finds that WhatIfBench remains far from saturated: even the strongest model reaches only a 64.62% final score.
Yu-Cheng Wang, Yuetian Du, Zheng Liu et al.· 0 citations
Living-Harness is proposed, a self-evolving agent harness that converts each completed trajectory and its evaluator signals into posterior evidence for bounded harness updates, and supports retrieval-only reuse of the evolved harness state across model backbones.
Yuetian Du, Yucheng Wang, Helsing Xu et al.· arXiv.org· 2 citations
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