arXiv cs.CL
· Papers
Multi-Task Instruction Tuning via Data Scheduling for Low-Resource Arabic SpeechLLMs
arXiv:2601.12494v3 Announce Type: replace-cross Abstract: Audio large language models (LLMs) enable unified speech understanding and generation, but adapting them to linguistically complex and dialect-rich settings such as Arabic-English remains challenging. We present a controlled study of multi-task instruction tunin