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Teaching LLMs to Self-Evolve: Cultivating Core Meta-Skills with Reinforcement Learning
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
MetaEvolve is a research framework enabling LLMs to develop meta-skills like self-reflection through reinforcement learning, improving test-time performance.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 21 September 2026
- Collected by OneBench
- 27 Jul 2026, 15:36 UK
Stored source excerpt
arXiv:2607.21971v1 Announce Type: cross Abstract: Test-time scaling through iterative self-evolution with environment feedback, as demonstrated by AlphaEvolve, shows remarkable performance gains. We hypothesize that the…
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