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
Controllable Text Generation for Large Language Models: A Survey
Xun Liang, Hanyu Wang, Yezhaohui Wang, Shichao Song, Jiawei Yang, Simin Niu, Jie Hu, Dan Liu, Shunyu Yao, Feiyu Xiong, Zhiyu Li
Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey
Haixin Wang, Yadi Cao, Zijie Huang, Yuxuan Liu, Peiyan Hu, Xiao Luo, Zezheng Song, Wanjia Zhao, Jilin Liu, Jinan Sun, Shikun Zhang, Long Wei, Yue Wang, Tailin Wu, Zhi-Ming Ma, Yizhou Sun
Self-supervised Learning for Geospatial AI: A Survey
Yile Chen, Weiming Huang, Kaiqi Zhao, Yue Jiang, Gao Cong
Diffusion-Based Visual Art Creation: A Survey and New Perspectives
Bingyuan Wang, Qifeng Chen, Zeyu Wang
Machine Learning with Physics Knowledge for Prediction: A Survey
Joe Watson, Chen Song, Oliver Weeger, Theo Gruner, An T. Le, Kay Hansel, Ahmed Hendawy, Oleg Arenz, Will Trojak, Miles Cranmer, Carlo D'Eramo, Fabian Bülow, Tanmay Goyal, Jan Peters, Martin W. Hoffman
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey
Ruiqi Zhang, Jing Hou, Florian Walter, Shangding Gu, Jiayi Guan, Florian Röhrbein, Yali Du, Panpan Cai, Guang Chen, Alois Knoll
Quality Assessment in the Era of Large Models: A Survey
Zicheng Zhang, Yingjie Zhou, Chunyi Li, Baixuan Zhao, Xiaohong Liu, Guangtao Zhai
Automatic Metrics in Natural Language Generation: A Survey of Current Evaluation Practices
Patrícia Schmidtová, Saad Mahamood, Simone Balloccu, Ondřej Dušek, Albert Gatt, Dimitra Gkatzia, David M. Howcroft, Ondřej Plátek, Adarsa Sivaprasad
A Survey on Benchmarks of Multimodal Large Language Models
Jian Li, Weiheng Lu, Hao Fei, Meng Luo, Ming Dai, Min Xia, Yizhang Jin, Zhenye Gan, Ding Qi, Chaoyou Fu, Ying Tai, Wankou Yang, Yabiao Wang, Chengjie Wang
A survey on secure decentralized optimization and learning
Changxin Liu, Nicola Bastianello, Wei Huo, Yang Shi, Karl H. Johansson
Computer Vision Model Compression Techniques for Embedded Systems: A Survey
Alexandre Lopes, Fernando Pereira dos Santos, Diulhio de Oliveira, Mauricio Schiezaro, Helio Pedrini
Graph Retrieval-Augmented Generation: A Survey
Boci Peng, Yun Zhu, Yongchao Liu, Xiaohe Bo, Haizhou Shi, Chuntao Hong, Yan Zhang, Siliang Tang
A Survey on Integrated Sensing, Communication, and Computation
Dingzhu Wen, Yong Zhou, Xiaoyang Li, Yuanming Shi, Kaibin Huang, Khaled B. Letaief
A Survey of Trojan Attacks and Defenses to Deep Neural Networks
Lingxin Jin, Xianyu Wen, Wei Jiang, Jinyu Zhan