Author

Yizhong Cao

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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

#natural language process... Preprint Aug 2026

On the Design of Qwen3.8-Next Architecture: Evaluation, Efficiency, and Training Stability

The architecture and the Muon optimizer together shift the optimal learning rate and batch size upwards, render batch-size warmup unnecessary, and substantially improve stability under stress tests.

Zi-Han Qiu, Ze-Kun Wang, Xiao Li et al. · 24 citations · ⚡3

Preprint Aug 2026

Qwen-CUA: Native Computer Use for (almost) Everything

Qwen-CUA is introduced, a native computer-use agent with a 397B-A17B Qwen mixture-of-experts backbone that outperforms Qwen3.7 and remains competitive with leading proprietary systems, and scalable verifiable interaction and hybrid tool use as key directions.

Dunjie Lu, Shuai Bai, Tianyi Bai et al. · 2 citations