Summary of Many-shot In-context Learning, by Rishabh Agarwal et al.
Many-Shot In-Context Learningby Rishabh Agarwal, Avi Singh, Lei M. Zhang, Bernd Bohnet, Luis Rosias, Stephanie…
Many-Shot In-Context Learningby Rishabh Agarwal, Avi Singh, Lei M. Zhang, Bernd Bohnet, Luis Rosias, Stephanie…
Lightweight Unsupervised Federated Learning with Pretrained Vision Language Modelby Hao Yan, Yuhong GuoFirst submitted to…
Self-Supervised Visual Preference Alignmentby Ke Zhu, Zheng Ge, Liang Zhao, Xiangyu ZhangFirst submitted to arxiv…
Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation with Target-private Class Segregationby Mattia Litrico, Davide Talon, Sebastiano…
Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategyby Tunazzina Islam, Dan GoldwasserFirst…
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labelsby Satyavrat Wagle, Seyyedali Hosseinalipour, Naji…
Foundational GPT Model for MEGby Richard Csaky, Mats W.J. van Es, Oiwi Parker Jones, Mark…
Label-free Anomaly Detection in Aerial Agricultural Images with Masked Image Modelingby Sambal Shikhar, Anupam SobtiFirst…
Extractive text summarisation of Privacy Policy documents using machine learning approachesby Chanwoo ChoiFirst submitted to…
Can Contrastive Learning Refine Embeddingsby Lihui Liu, Jinha Kim, Vidit BansalFirst submitted to arxiv on:…