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This work introduces MemoNoveltyAgent, a multi-agent system designed to generate comprehensive and faithful novelty reports, and proposes a RAG-augmented checklist evaluation method that enables reliable and evidence-grounded assessments.
This work introduces Harness-R1, the first method, to the authors' knowledge, that makes failure-conditioned, lifecycle-wide editing of an existing executable runtime a learned capability, and post-trains a dedicated harness engineer with online reinforcement learning so that its edits are optimized for the realized ta...
SkillGate lifts a 9B policy from 40.8% to 53.2% trial success, well ahead of the identical budget spent on outcome reward alone, while cutting exposure to misleading candidates by two thirds and reading fewer skills.
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