MeSD: Multi-Evidence Self-Distillation for VideoLLM.

arXiv:2610.06342v1 Announce Type: cross Abstract: While reinforcement learning with verifiable rewards provides reliable outcome supervision for VideoLLMs, sequence-level rewards offer limited token-level guidance. On-policy self-distillation addresses this li