English(EN) A Simple Method to Enhance Pre-trained Language Models with Speech Tokens for Classification

新方法用语音令牌增强语言模型以用于分类任务

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-01 04:00

研究人员开发了一种新颖的方法，将语音令牌集成到预训练语言模型中用于分类任务。该方法通过采用基于套索的特征选择来识别最相关的音频令牌，从而解决了长音频序列与文本融合的挑战。经过自监督目标微调的适应性语言模型，在论证谬误检测和情感计算等任务上表现出改进的性能，优于单一模态模型和其他语音集成技术。 AI

影响这项研究通过有效集成多模态数据，有望带来更强大的分类模型，从而提高情感分析和谬误检测等领域的性能。

排序理由该集群包含一篇详细介绍增强语言模型新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CL TIER_1 English(EN) · Nicolas Calbucura, Jose Guillen, Valentin Barriere · 2026-09-01 04:00

一种简单的方法，通过语音令牌增强预训练语言模型以进行分类

arXiv:2512.07571v3 Announce Type: replace Abstract: This paper presents a simple method that allows to easily enhance textual pre-trained large language models with speech information, when fine-tuned for a specific classification task. A classical issue with the fusion of many e…