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Xin-Yu Yang

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#artificial intelligence Preprint Sep 2026

REVE: Efficient Hallucination Correction for Large Audio-Language Models via Reused Encoder States

Large audio-language models may mention acoustic events that are absent from the input. A separate audio event detector can verify these mentions, but doing so requires a second audio encoder and a separate forward pass. We propose Reused Encoder States for Verifying Events (REVE), a lightweight method that uses states...

Hong-Jin Song, Ji-Shen Kuang, Xin-Yu Yang et al. · 0 citations

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