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cs.LG2026
A Target-Centric Survey of Quantization-Aware Training
Jiamin Song, Mengjie Zhao, Zijing Wang +6
The rapid development of LLMs incurs prohibitive memory footprints and intensive computational demands. Quantization-Aware Training (QAT) techniques have emerged as a promising sol…
cs.LG2025
Understanding Gated Neurons in Transformers from Their Input-Output Functionality
Sebastian Gerstner, Hinrich Schütze
Interpretability researchers have attempted to understand MLP neurons of language models based on both the contexts in which they activate and their output weight vectors. They hav…