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Qiu-Lin Shang

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#machine learning Preprint Sep 2026

SOLAR: A State-Driven Online Learning Rate Scheduler for LLM Pretraining

Learning-rate (LR) scheduling plays a central role in large language model (LLM) pretraining, yet current practice still relies heavily on hand-crafted heuristics such as Warmup-Cosine-Decay and Warmup-Stable-Decay. Because these schedules are fixed in advance, they cannot adapt to evolving optimization dynamics. Onlin...

Qiu-Lin Shang, Bin-Yu Wang, Yong-Qi Qiao et al. · 0 citations
#machine learning Preprint Sep 2026

QuantForge: Discovering Residual Decompositions for MXFP4 Post-Training Quantization

Four-bit post-training quantization can reduce the memory demands of large language models, but preserving accuracy under strict MXFP4 W4A4 requires coordinating several design choices. Coordinate transforms change block-encoding errors, which in turn affect the residuals propagated through the network. The useful algo...

Qiu-Lin Shang, Zhou-Tong Wu, Jie Hu et al. · 0 citations

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