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Evidence record 5959 · automatically gathered

Efficient Training for Cross-lingual Speech Language Models

Currently, large language models (LLMs) predominantly focus on the text modality. To enable more natural human-AI interaction, speech LLMs are emerging, but building effective end-to-end speech LLMs remains challenging due to limited data and the difficulty in expanding to more languages. In this paper, we introduce Cross-lingual Speech Language Model (CSLM), an efficient training method for cross-lingual speech LLMs based on discrete speech tokens. We propose a novel alignment strategy that ach

Record details

Published: 13 April 2026
Source: arXiv
Category: Research
Topics: Safety & alignment
Retrieved: 14 July 2026

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How to cite this record

ethics.ai (13 April 2026), “Efficient Training for Cross-lingual Speech Language Models,” evidence record 5959, https://ethics.ai/record/5959 (originally published by arXiv).

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