Evaluating reinforcement learning from human feedback for task‐oriented dialogue systems
Reinforcement learning from human feedback (RLHF) has shown strong potential for aligning language models, but its role in task‐oriented dialogue (TOD) remains unclear. In TOD, models are typically trained with local turn‐level supervision, while system behavior is evaluated through broader interaction‐level properti...