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An-Xiang Ma

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#small language model Preprint Sep 2026

Reading Right, Answering Wrong: How Visual Configuration Changes Affect Evidence Use in VLMs

Findings show that configuration changes can affect how models use information they can still read, and attention interventions in LLaVA-NeXT suggest that configuration changes can weaken the use of readable information during answering.

Ding-Yang Lin, Ying-Feng Luo, Cheng-Long Wang et al. · 0 citations
Preprint Aug 2026

Learning from Environmental Feedback: Credit Assignment across Multiple Timescales for Agentic Reinforcement Learning

Environmental Feedback-based Credit Assignment (EFCA), a multi-timescale credit assignment approach for long-horizon agentic RL that complements the long-term outcome signal with two environment-grounded process signals: a short-term feedback signal that captures the immediate effect of the current action and a medium-...

Yifu Huo, Shunjie Xing, Chenglong Wang et al. · 1 citation

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