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Agentic proposing: Enhancing large language model reasoning via compositional skill synthesis.arXiv preprint arXiv:2602.03279

3 Pith papers cite this work. Polarity classification is still indexing.

3 Pith papers citing it

citation-role summary

baseline 1

citation-polarity summary

fields

cs.AI 2 cs.MA 1

years

2026 3

verdicts

UNVERDICTED 3

roles

baseline 1

polarities

baseline 1

representative citing papers

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning

cs.AI · 2026-05-07 · unverdicted · novelty 5.0 · 3 refs

Skill1 trains a single RL policy to co-evolve skill selection, utilization, and distillation in language model agents from one task-outcome reward, using low-frequency trends to credit selection and high-frequency variation to credit distillation, outperforming baselines on ALFWorld and WebShop.

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Showing 3 of 3 citing papers.