Direct Self-Evolving Optimization: Evolving LLMs without Challenger Training.

arXiv:2609.34279v1 Announce Type: cross Abstract: Self-evolving language models improve by generating tasks and learning from their own feedback, but adapting the task generator often requires a separate challenger-training loop. Can we generate tasks adapted