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Task-Aware Answer Preservation under Audio Compression for Large Audio Language Models
Large audio language models (LALMs) increasingly reason over long audio clips, motivating audio compression to reduce memory use and inference latency. However, audio compression can leave the model's overall answer accuracy acceptable while severely degrading accuracy for particular query families.
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