Summary of Spinquant: Llm Quantization with Learned Rotations, by Zechun Liu et al.
SpinQuant: LLM quantization with learned rotationsby Zechun Liu, Changsheng Zhao, Igor Fedorov, Bilge Soran, Dhruv…
SpinQuant: LLM quantization with learned rotationsby Zechun Liu, Changsheng Zhao, Igor Fedorov, Bilge Soran, Dhruv…
MindStar: Enhancing Math Reasoning in Pre-trained LLMs at Inference Timeby Jikun Kang, Xin Zhe Li,…
SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Modelsby Xudong Lu, Aojun Zhou, Yuhui Xu, Renrui…
Basis Selection: Low-Rank Decomposition of Pretrained Large Language Models for Target Applicationsby Yang Li, Changsheng…
MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergenceby Ionut-Vlad Modoranu, Mher Safaryan,…
BiSup: Bidirectional Quantization Error Suppression for Large Language Modelsby Minghui Zou, Ronghui Guo, Sai Zhang,…
PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compressionby Vladimir Malinovskii, Denis Mazur, Ivan Ilin, Denis…
Not All Language Model Features Are One-Dimensionally Linearby Joshua Engels, Eric J. Michaud, Isaac Liao,…
SimPO: Simple Preference Optimization with a Reference-Free Rewardby Yu Meng, Mengzhou Xia, Danqi ChenFirst submitted…
Evaluating Large Language Models for Public Health Classification and Extraction Tasksby Joshua Harris, Timothy Laurence,…