Jinliang Zeng

Boosting Multi-Domain Reasoning of LLMs via Curvature-Guided Policy Optimization

Multi-domain reinforcement learning (RL) for large language models (LLMs) involves highly intricate reward surfaces, posing significant challenges in finding parameters that excel across all domains. Recent empirical studies have further highlighted conflicts among domains, where gains in one capabi…