Min Lin

AnytimeReasoner optimizes LLM reasoning under variable token budgets by introducing verifiable dense rewards and a variance reduction method (BRPO), enabling more efficient RL for both final and anytime reasoning performance.

We propose a lifelong safety alignment framework where a Meta-Attacker and Defender co-evolve to uncover and defend against unseen jailbreaking strategies.