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cs.CL2026
Understanding Knowledge Distillation in Post-Training: When It Helps and When It Fails
Xin Liu, Simin Ma, Shujian Liu +5
Large language models (LLMs) achieve strong performance across many tasks, but their high computational cost limits deployment in resource-constrained environments. Knowledge Disti…
cs.CL2021★ 1 cited
Infusing Future Information into Monotonic Attention Through Language Models
Mohd Abbas Zaidi, Sathish Indurthi, Beomseok Lee +2
Simultaneous neural machine translation(SNMT) models start emitting the target sequence before they have processed the source sequence. The recent adaptive policies for SNMT use mo…