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Matching papers

Co-Evolution in Agentic Systems: Toward Self-Directed Evolution Beyond Human Design

123 upvotes · 10 AUG 2026 · Qing Zong, Jiayu Liu, Junhao Shen et al.

This paper explores how agentic systems can improve on their own through co-evolution, where multiple agents and their environment adapt to each other, and discusses the challenges and benefits of building such systems that can learn beyond human design.

agentic systemsco-evolutionself-directed evolutioncontinual learningmulti-agent systemsadaptive pressure

DecoEvo: Score-Decoupled Co-Evolution of Solver and Rubric-Generator Skills in Text Space

54 upvotes · 28 JUL 2026 · Jiangwang Chen, Zixin Song, Junlin Liu et al.

This paper introduces a method called DecoEvo, which helps large language models improve by co-evolving a solver skill and a rubric-generator skill in a way that's more efficient and effective. Practitioners might care about this because it could lead to better performance and more reliable optimization in open-ended tasks.

text-space optimizationcontinual learningco-evolutionrubric-generatorsolver skilllarge language models