Listen Then Reason: Perception-Grounded Test-Time Reinforcement Learning for Large Audio-Language Models
Perception-Grounded TTRL (PG-TTRL) is proposed, which aligns label-free test-time optimisation with perceptually grounded reasoning, encouraging the model to structure its reasoning more strongly on the audio input, showing the value of perceptual-grounding optimisation for test-time audio reasoning.
Jia-Heng Dong, Xiao-Feng Yu, Jean Honorio et al.
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