Meng Ge
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The paper proposes a training-free inference-time method for audio reasoning called SKAD, which uses an acoustic evidence sketch to improve the accuracy of audio understanding and reasoning models.
This paper proposes AD-Mamba, a multi-stage knowledge distillation framework that improves the performance of state space models in audio classification tasks.
Papers
SKAD: Sketch-Guided Audio-Contrastive Decoding for Reasoning in Large Audio-Language Models
Junyu Wang, Peiyuan Jiang, Siyuan Zhang, Jian Zong +5 more
The paper proposes a training-free inference-time method for audio reasoning called SKAD, which uses an acoustic evidence sketch to improve the accuracy of audio understanding and reasoning models.