Score Neural Operator: A Generative Model for Learning and Generalizing Across Multiple Probability Distributionsby Xinyu…
CrossQuant: A Post-Training Quantization Method with Smaller Quantization Kernel for Precise Large Language Model Compressionby…
DemoShapley: Valuation of Demonstrations for In-Context Learningby Shan Xie, Man Luo, Chadly Daniel Stern, Mengnan…
DCP: Learning Accelerator Dataflow for Neural Network via Propagationby Peng Xu, Wenqi Shao, Mingyu Ding,…
Toward Physics-guided Time Series Embeddingby Jiaxi Hu, Bowen Zhang, Qingsong Wen, Fugee Tsung, Yuxuan LiangFirst…
Neural-Bayesian Program Learning for Few-shot Dialogue Intent Parsingby Mengze Hong, Di Jiang, Yuanfeng Song, Chen…
Manual Verbalizer Enrichment for Few-Shot Text Classificationby Quang Anh Nguyen, Nadi Tomeh, Mustapha Lebbah, Thierry…
ConML: A Universal Meta-Learning Framework with Task-Level Contrastive Learningby Shiguang Wu, Yaqing Wang, Yatao Bian,…
Can LLMs Understand Time Series Anomalies?by Zihao Zhou, Rose YuFirst submitted to arxiv on: 7…
Meta-Dynamical State Space Models for Integrative Neural Data Analysisby Ayesha Vermani, Josue Nassar, Hyungju Jeon,…