Summary of The Adversarial Ai-art: Understanding, Generation, Detection, and Benchmarking, by Yuying Li et al.
The Adversarial AI-Art: Understanding, Generation, Detection, and Benchmarkingby Yuying Li, Zeyan Liu, Junyi Zhao, Liangqin…
The Adversarial AI-Art: Understanding, Generation, Detection, and Benchmarkingby Yuying Li, Zeyan Liu, Junyi Zhao, Liangqin…
SnapKV: LLM Knows What You are Looking for Before Generationby Yuhong Li, Yingbing Huang, Bowen…
Cross-Task Multi-Branch Vision Transformer for Facial Expression and Mask Wearing Classificationby Armando Zhu, Keqin Li,…
Bayesian Example Selection Improves In-Context Learning for Speech, Text, and Visual Modalitiesby Siyin Wang, Chao-Han…
Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answeringby Yao…
Grounded Knowledge-Enhanced Medical Vision-Language Pre-training for Chest X-Rayby Qiao Deng, Zhongzhen Huang, Yunqi Wang, Zhichuan…
A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applicationsby Wenbo…
CNN2GNN: How to Bridge CNN with GNNby Ziheng Jiao, Hongyuan Zhang, Xuelong LiFirst submitted to…
CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Modelsby Teodor Chiaburu, Frank Haußer, Felix BießmannFirst…
Beyond the Speculative Game: A Survey of Speculative Execution in Large Language Modelsby Chen Zhang,…