Author

Zhengyang Zhuge

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Jul 2026

QUADS: Stabilizing NVFP4 Reinforcement Learning for MoE via QUantization-error Alignment across Dual Sides

This work identifies activation error, rather than weight error, as the dominant source of FP4 RL instability: weights can be synchronized and aligned by a shared quantization-dequantization path, whereas activations are recomputed online and error is amplified by the coarse E2M1 grid.

Zhengyang Zhuge, Hao Yu, Xin Wang et al. · arXiv.org · 0 citations