Pairwise Preference Reward and Group-Based Diversity Enhancement for Superior Open-Ended Generation

Guining Cao, Jiaxin Peng, Chu Zeng +3

Current reinforcement learning(RL) methods are broadly applicable and powerful in verifiable settings where scalar rewards can be provided. However, in open-ended generation tasks,…