1
How Much Training Do You Really Need to Do Hyrox?
作者亲自实验Hyrox比赛前最低训练量，用双人赛证明“偷懒”也能完赛的实用指南。
I've never felt stronger, or more scared.
2
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…
3
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…