一作ACL 2026Findings· Findings of ACL
Beyond Monolithic Rewards: Hybrid Multi-Aspect Reward Optimization
Radha Gulhane · Sathish Reddy Indurthi
摘要
Reinforcement learning optimization policies have traditionally relied on a single reward mechanism, most commonly a model-based reward. Such monolithic rewards often lack confidence calibration across domain-specific tasks and fail to capture diverse aspects of model responses. This approach req...