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cs.CL2026
Teaching Diffusion to Speculate Left-to-Right
Lexington Whalen, Yuki Ito, Ryo Sakamoto
Large language models (LLMs) achieve remarkable performance across a wide range of tasks, but their autoregressive decoding process incurs substantial inference costs due to inhere…
cs.CL2025
Scheduled Interleaved Speech-Text Training for Speech-to-Speech Translation with LLMs
Hayato Futami, Emiru Tsunoo, Yosuke Kashiwagi +4
Speech-to-speech translation (S2ST) has been advanced with large language models (LLMs), which are fine-tuned on discrete speech units. In such approaches, modality adaptation from…