DENSE: Distilling evidence from nested subtask executions into evidence-grounded shortcut trees for self-refinement
Read the original at arxiv.org→arXiv:2609.21423v1 Announce Type: new Abstract: Online agent deployments produce abundant execution traces, while task-specific verification and expert annotation are costly to scale. We study how to distill these...
Original headline: "DENSE: Distilling Agent Trajectories into Evidence-Grounded Shortcut Trees for Self-Refinement"
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- Sep 21, 04:00 UTC arXiv cs.AI lead source DENSE: Distilling Agent Trajectories into Evidence-Grounded Shortcut Trees for Self-Refinement