Timely Survey
Timely surveys in various scientific fields analyze the current state-of-the-art in specific areas, aiming to synthesize existing research and identify key trends. Current research focuses on efficient model variants for tasks like image segmentation and 3D vision, leveraging architectures such as diffusion models and large language models (LLMs) to improve performance and address challenges in resource-constrained environments or low-resource languages. These surveys are crucial for guiding future research directions, facilitating the development of more efficient and robust algorithms, and ultimately impacting the practical application of these technologies across diverse domains.
Papers
Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond
Qi Wang, Jindong Li, Shiqi Wang, Qianli Xing, Runliang Niu, He Kong, Rui Li, Guodong Long, Yi Chang, Chengqi Zhang
A Survey on Physical Adversarial Attacks against Face Recognition Systems
Mingsi Wang, Jiachen Zhou, Tianlin Li, Guozhu Meng, Kai Chen
A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models
Cong Guo, Feng Cheng, Zhixu Du, James Kiessling, Jonathan Ku, Shiyu Li, Ziru Li, Mingyuan Ma, Tergel Molom-Ochir, Benjamin Morris, Haoxuan Shan, Jingwei Sun, Yitu Wang, Chiyue Wei, Xueying Wu, Yuhao Wu, Hao Frank Yang, Jingyang Zhang, Junyao Zhang, Qilin Zheng, Guanglei Zhou, Hai (Helen)Li, Yiran Chen
Harnessing the Power of Noise: A Survey of Techniques and Applications
Reyhaneh Abdolazimi, Shengmin Jin, Pramod K. Varshney, Reza Zafarani
Survey on Code Generation for Low resource and Domain Specific Programming Languages
Sathvik Joel, Jie JW Wu, Fatemeh H. Fard
A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research
Teresa Salazar, Helder Araújo, Alberto Cano, Pedro Henriques Abreu
Undesirable Memorization in Large Language Models: A Survey
Ali Satvaty, Suzan Verberne, Fatih Turkmen
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks
Junlin Hou, Sicen Liu, Yequan Bie, Hongmei Wang, Andong Tan, Luyang Luo, Hao Chen
Computer-aided Colorization State-of-the-science: A Survey
Yu Cao, Xin Duan, Xiangqiao Meng, P. Y. Mok, Ping Li, Tong-Yee Lee
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security
Qianru Zhang, Peng Yang, Junliang Yu, Haixin Wang, Xingwei He, Siu-Ming Yiu, Hongzhi Yin