Summary of Optimization and Scalability Of Collaborative Filtering Algorithms in Large Language Models, by Haowei Yang et al.
Optimization and Scalability of Collaborative Filtering Algorithms in Large Language Modelsby Haowei Yang, Longfei Yun,…
Optimization and Scalability of Collaborative Filtering Algorithms in Large Language Modelsby Haowei Yang, Longfei Yun,…
Accelerating Retrieval-Augmented Generationby Derrick Quinn, Mohammad Nouri, Neel Patel, John Salihu, Alireza Salemi, Sukhan Lee,…
REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environmentsby Kaustubh Sridhar, Souradeep…
Repurposing Stable Diffusion Attention for Training-Free Unsupervised Interactive Segmentationby Markus Karmann, Onay UrfaliogluFirst submitted to…
Nearest Neighbor Normalization Improves Multimodal Retrievalby Neil Chowdhury, Franklin Wang, Sumedh Shenoy, Douwe Kiela, Sarah…
Quantifying and Enabling the Interpretability of CLIP-like Modelsby Avinash Madasu, Yossi Gandelsman, Vasudev Lal, Phillip…
Near, far: Patch-ordering enhances vision foundation models’ scene understandingby Valentinos Pariza, Mohammadreza Salehi, Gertjan Burghouts,…
Simply Trainable Nearest Neighbour Machine Translation with GPU Inferenceby Hossam Amer, Abdelrahman Abouelenin, Mohamed Maher,…
Case-Enhanced Vision Transformer: Improving Explanations of Image Similarity with a ViT-based Similarity Metricby Ziwei Zhao,…
Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosisby Qingpeng Kong, Ching-Hao Chiu, Dewen Zeng,…