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Si-Yuan Liu

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#artificial intelligence Preprint Sep 2026

DENSE: Distilling Agent Trajectories into Evidence-Grounded Shortcut Trees for Self-Refinement

Online agent deployments accumulate execution trajectories at massive scale and behavioral diversity, for which predefined annotation criteria hardly exist. Extracting useful evidence therefore demands costly manual annotation or verifier signals that fail to scale, leaving valuable evidence buried among redundant, inc...

Si-Yuan Liu, Fan Yu, Dongyu Ru et al. · 0 citations

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