Reinforcement Learning with Evolving Rubrics as Rewards for Audio Reasoning

Fangxu Yu, Tao Feng, Dehai Min +6

Audio reasoning is essential for machine understanding of the acoustic world. Reinforcement learning with verifiable rewards can elicit such reasoning, yet existing reward designs…