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Author

Hongzhan Lin

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#artificial intelligence Preprint Oct 2026

From Evidence to Action: How Tool-Using Agents Fail

Tool-using agents make consequential changes to external state, yet correct outcomes do not guarantee that their actions were supported by evidence established beforehand. We study where this evidence-to-action chain breaks as agents move from deciding whether to act to executing single actions and dependent workflows....

Hongzhan Lin, Shi-Dong Cao, Ziyang Luo et al. · 0 citations

Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision

This study proposes local Platt-scaling applied separately to three different fine-grained confidence scores, finding that fine-grained confidence scores consistently achieve lower calibration error across a broader range of probability intervals, and this effect is further amplified when global Platt-scaling is applie...

Hongzhan Lin, Chunhua Liu, Haoyu Gao et al. · 0 citations

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