English(EN) Selective Listening: Mechanism-Guided Control of Audio Influence in Large Audio-Language Models

新的ICAP-Gate机制控制大型音频语言模型中的音频影响

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-09 04:00

研究人员开发了一种名为ICAP-Gate的新机制，用于控制音频对大型音频语言模型（LALM）的影响。该方法解决了任务无关音频会改变模型文本推理决策的问题，而这个问题可能会被聚合准确率指标所掩盖。与标准推理相比，ICAP-Gate选择性地控制模型内的音频通路，在各种LALM和基准测试中表现出较低的影响率和答案翻转率。值得注意的是，它在保持自动语音识别性能的同时，与自洽性等方法相比，以更低的延迟提供了有竞争力的稳定性。 AI

影响通过减轻多模态AI系统中推理任务中不必要的音频干扰，增强了其鲁棒性。

排序理由该集群包含一篇研究论文，详细介绍了控制大型音频语言模型中音频影响的新机制。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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报道来源 [1]

arXiv cs.CL TIER_1 English(EN) · Yulin Sun, Kele Xu, Yong Dou · 2026-10-09 04:00

选择性聆听：大型音语模型中音频影响的机制引导控制

arXiv:2610.11196v1 Announce Type: cross Abstract: Large audio-language models (LALMs) exploit multimodal evidence, yet task-irrelevant audio can alter text-reasoning decisions when listening is unnecessary. Aggregate Accuracy can hide this paired drift because audio-induced repai…

本文如何被排名

报道来源 [1]

选择性聆听：大型音语模型中音频影响的机制引导控制

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