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cs.AI2026
More: Mode-Optimized Reasoning with Self-Adaptive Effort for Self-Evolving Agents
Dianxing Shi, Dingjie Fu, Tianyu Lei +1
Self-evolving training improves the performance of agents on difficult tasks through verifiable feedback, but it often applies costly deliberation uniformly across tasks. To addres…
cs.AI2026
ANCHOR: An External LLM-Driven Supervisory Module Facilitating Healthy Evolution in Self-Evolving Systems
Dianxing Shi, Bowen Wang, Junqi He +2
Self-evolving agents improve through continual self-play and self-generated learning signals, but their internally generated tasks and verifier signals provide limited coverage of…