Continuous Audio Thinking for Large Audio Language Models

In three linesContinuous Audio Thinking (CoAT) adds a continuous latent workspace to large audio language models to preserve acoustic information (phonetics, prosody, affect, pitch) before text generation. Tested on Qwen2-Audio, Qwen2.5-Omni-7B, and Audio Flamingo, CoAT improves performance on audio reasoning, music classification, and transcription with no additional decoding cost.

Summary generated by Claude — human-verified