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FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling research paper by NVIDIA, 2026

NVIDIA · Apr 8, 2026 · Inference and efficiency · 1 citations · 29 upvotes · unverified

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What it shows

A novel two-stage reinforcement learning framework called Sol-RL integrates FP4 quantization with diffusion model alignment to accelerate training while maintaining high-fidelity performance.

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

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About this paper
Authors
Yitong Li, Junsong Chen, Shuchen Xue and 8 more
arXiv
2604.06916 · PDF
Venue
arXiv.org
Citations
1, 0 influential · Semantic Scholar
Upvotes
29 · Hugging Face
Lab
NVIDIA · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 0Sep 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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