← Back to papers
2025 ICML ICML 2025

FlatQuant: Flatness Matters for LLM Quantization

Authors

Yuxuan Sun , Ruikang Liu , Haoli Bai , Han Bao , Kang Zhao , Yuening Li , Jiaxin Hu , Xianzhi Yu , Lu Hou , Chun Yuan , Xin Jiang , Wulong Liu , Jun Yao
Download PDF

Related papers

Scaling Sparse Feature Circuits For Studying In-Context Learning 2025
Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems 2025
SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics 2025
Batch List-Decodable Linear Regression via Higher Moments 2025
GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models 2025