DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaborationby Sizhe Liu, Yizhou Lu, Siyu…
Can a Large Language Model Learn Matrix Functions In Context?by Paimon Goulart, Evangelos E. PapalexakisFirst…
Fixing the Perspective: A Critical Examination of Zero-1-to-3by Jack Yu, Xueying Jia, Charlie Sun, Prince…
Tackling Data Heterogeneity in Federated Time Series Forecastingby Wei Yuan, Guanhua Ye, Xiangyu Zhao, Quoc…
Research on Effectiveness Evaluation and Optimization of Baseball Teaching Method Based on Machine Learningby Shaoxuan…
Development of Pre-Trained Transformer-based Models for the Nepali Languageby Prajwal Thapa, Jinu Nyachhyon, Mridul Sharma,…
TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Modelsby Jiahao Wang,…
Proceedings of the 6th International Workshop on Reading Music Systemsby Jorge Calvo-Zaragoza, Alexander Pacha, Elona…
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentationby Arvind Murari Vepa,…
Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecastingby Liran Nochumsohn, Michal Moshkovitz, Orly Avner,…