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Yun-Han Wang

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#artificial intelligence Preprint Sep 2026

TAEC: Trajectory-Aware Evidence Coordination for Multi-Step Visual RAG

Trajectory-Aware Evidence Coordination (TAEC), a training-free framework that coordinates evidence use around unresolved answer requirements, achieves the best overall performance against leading training-free visual RAG baselines, with the highest average accuracy across multiple proprietary vision-language models.

Ya-Lun Wu, Bing-Zhou Wang, Bo-Yang Wang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

The Unreliable Progress Bar: Can LLM Agents Reliably Report Task Progress Throughout Execution?

It is found that reporting reliability depends on the stage a task has reached, and that almost every deployed model the authors test is reliable at some stages and unreliable at others, indicating that agent frameworks should not control task flow on the strength of the model's state reports alone.

Bo-Yang Wang, Yun-Han Wang, Ya-Lun Wu · 0 citations

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