MolMix: A Simple Yet Effective Baseline for Multimodal Molecular Representation Learningby Andrei Manolache, Dragos Tantaru,…
KACQ-DCNN: Uncertainty-Aware Interpretable Kolmogorov-Arnold Classical-Quantum Dual-Channel Neural Network for Heart Disease Detectionby Md Abrar Jahin,…
Scaling Laws for Mixed quantization in Large Language Modelsby Zeyu Cao, Cheng Zhang, Pedro Gimenes,…
Chemistry-Inspired Diffusion with Non-Differentiable Guidanceby Yuchen Shen, Chenhao Zhang, Sijie Fu, Chenghui Zhou, Newell Washburn,…
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modelingby Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu,…
Mixture Compressor for Mixture-of-Experts LLMs Gains Moreby Wei Huang, Yue Liao, Jianhui Liu, Ruifei He,…
QERA: an Analytical Framework for Quantization Error Reconstructionby Cheng Zhang, Jeffrey T. H. Wong, Can…
Scalable Mechanistic Neural Networks for Differential Equations and Machine Learningby Jiale Chen, Dingling Yao, Adeel…
PrefixQuant: Eliminating Outliers by Prefixed Tokens for Large Language Models Quantizationby Mengzhao Chen, Yi Liu,…
Rule-based Data Selection for Large Language Modelsby Xiaomin Li, Mingye Gao, Zhiwei Zhang, Chang Yue,…