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SkillCorpus is, to the authors' knowledge, the first end-to-end account of when a curated, retrieval-served community corpus improves real agent tasks, and where it does not, and is evaluated end-to-end across three benchmarks.
MIND, a criteria-grounded evidence-state decision interface, introduces MIND, a criteria-grounded evidence-state decision interface that targets screening-level decision support, not autonomous diagnosis.
EvoAgentBench is introduced, a benchmark for agent self-evolution via Ability-guided transfer across four agentic domains: web research, algorithmic reasoning, software engineering, software engineering, and knowledge work, which shifts self-evolution evaluation from aggregate accuracy comparison to fine-grained diagno...
DASH maps the gap between each local distillation signal and the sequence-level mean to an adaptive propagation gate and then uses these gates to control backward multi-step aggregation and improves over matched vanilla OPSD reruns on every benchmark at all three model scales.
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