co-evolving feedback
Feedback that evolves alongside the policy or components it guides to improve performance.
- Papers
- 8
- Released code
- 1
- First seen
- June 2026
- Latest
- Sept 2026
6 papers in the last two months, against 2 in the two before.
The papers
Most central to this idea first, not most recent.
- Industrycs.AI
Joint training helps small language models create and use tools
Appier AI Research, National Taiwan University · Aug 2026
- Chinese Techcs.AI
Search agents improve longer when their critics evolve alongside them
Fudan University, Tencent · Aug 2026
- Independentcs.LG
Adaptive memory graphs improve collaboration in multi-agent language-model systems
Sept 2026
- Independentcs.AI
Personalizing agents through cross-session interaction data boosts task success
Sept 2026
- Chinese Techcs.CL
Self-play with evolving skills boosts LLM benchmarks
Alibaba, The Chinese University of Hong Kong · July 2026
- Chinese Techcs.AIcode
Evolutionary training harness co-evolves with LLM policies for RL
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Tongyi Lab , Alibaba Group · June 2026
- Big Techcs.AI
Persistent Wikis Help AI Agents Build Better Transferable Skills
Google Research, Virginia Tech · Aug 2026
- Independentcs.CV
Coding agents combine generated imagery with editable web-based visual layouts
Sept 2026
Concepts are extracted from each paper and reused across the corpus, so this page grows on its own as the desk reads.