arXiv Machine Learning October 9, 2026 By Yulin Sun, Kele Xu, Yong Dou

Selective Listening: Mechanism-Guided Control of Audio Influence in Large Audio-Language Models

Read the original on arXiv Machine Learning →

The paper introduces ICAP-Gate, a mechanism-guided, task-conditioned control that selectively limits audio influence in large audio-language models (LALMs). By targeting late audio pathways identified through paired drift analysis, ICAP‑Gate reduces influence rate and answer flip across four LALMs and two reasoning benchmarks while preserving automatic speech recognition performance. Compared to fixed suppression and mitigation prompting, ICAP‑Gate offers lower paired‑drift estimates and competitive stabilization with minimal latency overhead.

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