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Online Draft Co-Training for Speculative Decoding in Large-Scale, Long-Context RL Post-Training research paper by NVIDIA, 2026

NVIDIA · Sep 7, 2026 · Training and scaling · 1 citations · 35 upvotes · unverified

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What it shows

A system for large-scale online draft co-training accelerates speculative decoding in RL post-training by extending context-parallel attention and adding cross-stage feature transport.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Zili Wang, Zhaopeng Qiu, Yuekai Zhang and 2 more
arXiv
2609.07108 · PDF
Citations
1, 1 influential · Semantic Scholar
Upvotes
35 · Hugging Face
Lab
NVIDIA · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 1Sep 25, 2026
Citationsfirst count: 1Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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