Cost-Aware Dynamic Cloud Workflow Scheduling using Self-Attention and Evolutionary Reinforcement Learningby Ya Shen, Gang Chen,…
Leveraging Long-Context Large Language Models for Multi-Document Understanding and Summarization in Enterprise Applicationsby Aditi Godbole,…
Data Analysis in the Era of Generative AIby Jeevana Priya Inala, Chenglong Wang, Steven Drucker,…
Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classificationby Raja Kumar, Raghav Singhal,…
Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awarenessby Jian Li, Haojing Huang,…
DREAMS: A python framework to train deep learning models with model card reporting for medical…
Detecting and Measuring Confounding Using Causal Mechanism Shiftsby Abbavaram Gowtham Reddy, Vineeth N BalasubramanianFirst submitted…
Inference-Time Language Model Alignment via Integrated Value Guidanceby Zhixuan Liu, Zhanhui Zhou, Yuanfu Wang, Chao…
DarkSAM: Fooling Segment Anything Model to Segment Nothingby Ziqi Zhou, Yufei Song, Minghui Li, Shengshan…
Learning to Love Edge Cases in Formative Math Assessment: Using the AMMORE Dataset and Chain-of-Thought…