Author

Fengcheng He

h-index 0 View on Semantic Scholar

We have 1 of 2 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Jul 2026

HiFloat4 Format for End-To-End Reinforcement Learning Post-Training of Large Language Models

HiF4 is established as the enabling format for end-to-end FP4 RL post-training, and Rollout Residual Quantization (Rollout-ResQ) is established as the activation-side mechanism that makes the gap to BF16 closable.

H. Mak, Shadan Golestan, H. Le et al. · arXiv.org · 0 citations