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
A Survey on Large Language Models for Code Generation
Juyong Jiang, Fan Wang, Jiasi Shen, Sungju Kim, Sunghun Kim
Graph Neural Networks for Brain Graph Learning: A Survey
Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul Sowman, Alexis Giral, Philip S. Yu
Towards Rationality in Language and Multimodal Agents: A Survey
Bowen Jiang, Yangxinyu Xie, Xiaomeng Wang, Yuan Yuan, Zhuoqun Hao, Xinyi Bai, Weijie J. Su, Camillo J. Taylor, Tanwi Mallick
Exploring Vulnerabilities and Protections in Large Language Models: A Survey
Frank Weizhen Liu, Chenhui Hu
Sifting through the Noise: A Survey of Diffusion Probabilistic Models and Their Applications to Biomolecules
Trevor Norton, Debswapna Bhattacharya
A Survey of Deep Learning Audio Generation Methods
Matej Božić, Marko Horvat
"Forgetting" in Machine Learning and Beyond: A Survey
Alyssa Shuang Sha, Bernardo Pereira Nunes, Armin Haller
LLMs Meet Multimodal Generation and Editing: A Survey
Yingqing He, Zhaoyang Liu, Jingye Chen, Zeyue Tian, Hongyu Liu, Xiaowei Chi, Runtao Liu, Ruibin Yuan, Yazhou Xing, Wenhai Wang, Jifeng Dai, Yong Zhang, Wei Xue, Qifeng Liu, Yike Guo, Qifeng Chen
Video Anomaly Detection in 10 Years: A Survey and Outlook
Moshira Abdalla, Sajid Javed, Muaz Al Radi, Anwaar Ulhaq, Naoufel Werghi
Recent Advances of Foundation Language Models-based Continual Learning: A Survey
Yutao Yang, Jie Zhou, Xuanwen Ding, Tianyu Huai, Shunyu Liu, Qin Chen, Liang He, Yuan Xie
A Survey of Latent Factor Models in Recommender Systems
Hind I. Alshbanat, Hafida Benhidour, Said Kerrache
Tool Learning with Large Language Models: A Survey
Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen