arXiv cs.CL
· Papers
Efficient Chain-of-Modality Reasoning via Progressive Compression for Spoken Language Models
arXiv:2607.19932v2 Announce Type: replace Abstract: Spoken language models (SLMs) enable natural human-computer interaction, but their reasoning ability still lags behind that of text-based large language models, especially on spoken mathematical question answering tasks. One important reason is that SLMs reason over p