English(EN) From Senses to Decisions: The Information Flow of Auditory and Visual Perception in Multimodal LLMs

研究人员绘制多模态大语言模型中的视听信息流

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-10 04:00

研究人员调查了处理音频和视觉数据的多模态大语言模型（MLLM）内部的信息流。他们的研究聚焦于视听大语言模型（AVLLM），揭示了这些模型如何路由和整合感官输入以生成响应。研究结果表明，对于基于视频的输入，信息遵循顺序路径；对于交错的视听项目，信息则转向并行流，并丢弃冗余信息以提高效率。 AI

影响为了解AVLLM的内部工作机制提供了见解，可能指导未来的可解释性和效率改进。

排序理由该集群包含一篇详细介绍多模态大语言模型信息流研究结果的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Wish Suharitdamrong, Muhammad Awais, Xiatian Zhu, Sara Atito · 2026-06-10 04:00

从感知到决策：多模态大模型中听觉和视觉感知的信��流

arXiv:2606.10147v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) can listen and see, but how do audio and visual signals actually travel through the network to shape an answer? Despite their growing role in research and real-world applications, the interna…