Nhật Minh Phạm

SpecRoll: Fast-Slow Verifier-Feedback Adaptation for Speculative Reinforcement Learning Rollouts

This work introduces SpecRoll, a speculative rollout engine that preserves the target model's sampling distribution while adapting at two timescales, and combines concurrency-aware sparse-tree verification and exact target verification, leaving the target rollout distribution and GRPO objective unchanged.