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Chi Zhang

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#artificial intelligence Preprint Sep 2026

Towards Full Pipeline FP8 Reinforcement Learning for LLMs

Calibrated Clipping is proposed, a dynamic method that aligns the FP8 clipping bounds with high-precision BF16 distributions by matching the lower-bound clipping quantile and rebalancing the upper bound accordingly, which eliminates entropy surges and restores performance comparable to the BF16 baseline.

Fan Chen, Ziheng Jiang, Zi-Yun Wei et al. · 0 citations
Preprint Aug 2026

GradCuit: Credit-Assigned Gradient Flow Enables Robust and Interpretable Test-Time Latent Reasoning

GradCuit (gradient through circuit), which inserts optimizable latent states at a selected Transformer layer between the hidden representations of the prompt and the generated continuation, opens a new axis of robust and interpretable test-time scaling, where LLMs adapt how they reason rather than merely regenerate, sa...

Zhaoxin Yu, Qianli Shen, Hengli Li et al. · 0 citations

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