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Xidian University
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Forget fixed-precision quantization: STQuant slashes optimizer memory by 84% in large model training by dynamically adapting bit-widths across layers and training steps.
LLMs still fail to follow complex instructions that entangle content, formatting, control flow, and real-world constraints, despite progress on simpler benchmarks.
