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Author

Yile Gu

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Preprint Aug 2026

Can We Read the Mind of an Audio LLM? A Verbalizable, Multilingual Middle-Layer Workspace

Reading a base Qwen3-Omni with a logit lens at the audio-token positions, it is found that the answer to a spoken question becomes legible - in words - in the model's middle layers, before it emits any token.

Jiajun Fan, Jing-Yuan Li, Prashanth Gurunath Shivakumar et al. · 0 citations

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