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Masked Distillation: Internalizing the Chain-of-Thought in Language Models
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers propose "masked distillation" to internalize Chain-of-Thought reasoning in language models, reducing inference latency and cost.
OneBench interpretation
Institutional assessment
So what
Reducing inference cost and latency for complex reasoning models directly impacts enterprise deployment economics.
Do what
Add to the Q4 AI engineering roadmap for evaluation against existing serving stacks.