Summary of On the Compressibility Of Quantized Large Language Models, by Yu Mao et al.
On the Compressibility of Quantized Large Language Modelsby Yu Mao, Weilan Wang, Hongchao Du, Nan…
On the Compressibility of Quantized Large Language Modelsby Yu Mao, Weilan Wang, Hongchao Du, Nan…
A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applicationsby Wei Guo, Fuzhen Zhuang,…
Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacyby Jamie Hayes,…
REWIND Dataset: Privacy-preserving Speaking Status Segmentation from Multimodal Body Movement Signals in the Wildby Jose…
Augmenting Automation: Intent-Based User Instruction Classification with Machine Learningby Lochan Basyal, Bijay GaudelFirst submitted to…
Equipment Health Assessment: Time Series Analysis for Wind Turbine Performanceby Jana Backhus, Aniruddha Rajendra Rao,…
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modelingby Jianan Fan, Dongnan Liu, Hang…
Neural Field Classifiers via Target Encoding and Classification Lossby Xindi Yang, Zeke Xie, Xiong Zhou,…
Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD Detectionby Rishi Singhal, Srinath…
Deep Learning Detection Method for Large Language Models-Generated Scientific Contentby Bushra Alhijawi, Rawan Jarrar, Aseel…