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LoopQ: Quantization for Recursive Transformers
循环语言模型量化面临三大挑战，首次系统性研究揭秘其脆弱性根源
arXiv:2605.16343v1 Announce Type: new Abstract: Looped language models (LoopLMs) improve parameter efficiency by recursively reusing Transformer block…
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Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models
1-bit量化大模型新思路，输出对齐策略再审视，助力低资源设备高效推理
arXiv:2512.21651v3 Announce Type: replace Abstract: Large Language Models (LLMs) deliver strong performance across a wide range of NLP tasks, but thei…