PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuningby Jiaru Zou,…
Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representationby…
Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional Datasetsby Boris Landa,…
Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Predictionby Zhongxiang Fan, Zhaocheng Liu, Jian…
Deciphering interventional dynamical causality from non-intervention systemsby Jifan Shi, Yang Li, Juan Zhao, Siyang Leng,…
Dimensions underlying the representational alignment of deep neural networks with humansby Florian P. Mahner, Lukas…
WV-Net: A foundation model for SAR WV-mode satellite imagery trained using contrastive self-supervised learning on…
Improving Hyperparameter Optimization with Checkpointed Model Weightsby Nikhil Mehta, Jonathan Lorraine, Steve Masson, Ramanathan Arunachalam,…
MT2ST: Adaptive Multi-Task to Single-Task Learningby Dong Liu, Yanxuan YuFirst submitted to arxiv on: 26…
Data-Driven Computing Methods for Nonlinear Physics Systems with Geometric Constraintsby Yunjin TongFirst submitted to arxiv…