AIBullisharXiv – CS AI · Mar 46/102
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When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware Reasoning
Researchers identified a critical problem in Large Audio-Language Models (LALMs) where audio perception deteriorates during extended reasoning processes. They developed MPAR² framework using reinforcement learning, which improved perception performance from 31.74% to 63.51% and achieved 74.59% accuracy on MMAU benchmark.