3 papers
cs.CL2026
MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining
Zhixun Chen, Ping Guo, Wenhan Han +10
Data quality is a critical driver of large language model performance, yet existing model-based selection methods focus almost exclusively on English. We introduce MuRating, a scal…
cs.LG2026
OmniZip: Learning a Unified and Lightweight Lossless Compressor for Multi-Modal Data
Yan Zhao, Zhengxue Cheng, Junxuan Zhang +4
Lossless compression is essential for efficient data storage and transmission. Although learning-based lossless compressors achieve strong results, most of them are designed for a…
cs.CV2026
SNR-Edit: Structure-Aware Noise Rectification for Inversion-Free Flow-Based Editing
Lifan Jiang, Boxi Wu, Yuhang Pei +5
Inversion-free image editing using flow-based generative models challenges the prevailing inversion-based pipelines. However, existing approaches rely on fixed Gaussian noise to co…