knowledge-centric-self-improvement

name	knowledge-centric-self-improvement
description	Skill generated from arXiv paper 2607.19592: Knowledge-Centric Self-Improvement
metadata	{"arxiv":{"id":"2607.19592","title":"Knowledge-Centric Self-Improvement","authors":["Xuefei Julie Wang","Lauren Hyoseo Yoon","Chengrui Qu","Amanda Zichang Wang","Atharva Sehgal","Eric Mazumdar","Yisong Yue"],"published":"2026-07-21","categories":["cs.AI","cs.CL","cs.LG","cs.MA"],"url":"https://arxiv.org/abs/2607.19592","utility":1}}

Knowledge-Centric Self-Improvement

arXiv: 2607.19592
Published: 2026-07-21
Authors: Xuefei Julie Wang, Lauren Hyoseo Yoon, Chengrui Qu, Amanda Zichang Wang, Atharva Sehgal, Eric Mazumdar, Yisong Yue
Categories: cs.AI, cs.CL, cs.LG, cs.MA
Utility: 1.00

Key Innovation

Self-improving AI systems typically treat the agent as the object that improves, by optimizing prompts, workflows, harnesses, or even the agent's own code. This agent-centric view can make improvements expensive to maintain and difficult to transfer, because gains become tied to a particular agent design, task distribution, or adaptation run. We study a complementary paradigm: knowledge-centric self-improvement, in which agents remain generic and disposable while the persistent object is a curat...

Potential Application

This paper presents advancements that could be applied to enhance agent capabilities in the areas of cs.AI, cs.CL, cs.LG, cs.MA.

References

• arXiv: https://arxiv.org/abs/2607.19592