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 Design-space Dimensionality Reduction Methods for Shape Optimization
Andrea Serani, Matteo Diez
Continual Learning in Medical Imaging: A Survey and Practical Analysis
Mohammad Areeb Qazi, Anees Ur Rehman Hashmi, Santosh Sanjeev, Ibrahim Almakky, Numan Saeed, Camila Gonzalez, Mohammad Yaqub
A New Era in Human Factors Engineering: A Survey of the Applications and Prospects of Large Multimodal Models
Li Fan, Lee Ching-Hung, Han Su, Feng Shanshan, Jiang Zhuoxuan, Sun Zhu
From CNNs to Transformers in Multimodal Human Action Recognition: A Survey
Muhammad Bilal Shaikh, Syed Mohammed Shamsul Islam, Douglas Chai, Naveed Akhtar
A Survey of Robotic Language Grounding: Tradeoffs between Symbols and Embeddings
Vanya Cohen, Jason Xinyu Liu, Raymond Mooney, Stefanie Tellex, David Watkins
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data
Xinyi Wang, Grazziela Figueredo, Ruizhe Li, Wei Emma Zhang, Weitong Chen, Xin Chen
Large Language Models Meet NLP: A Survey
Libo Qin, Qiguang Chen, Xiachong Feng, Yang Wu, Yongheng Zhang, Yinghui Li, Min Li, Wanxiang Che, Philip S. Yu
Artificial Intelligence Approaches for Predictive Maintenance in the Steel Industry: A Survey
Jakub Jakubowski, Natalia Wojak-Strzelecka, Rita P. Ribeiro, Sepideh Pashami, Szymon Bobek, Joao Gama, Grzegorz J Nalepa
Transformer in Touch: A Survey
Jing Gao, Ning Cheng, Bin Fang, Wenjuan Han
A Survey on Multi-modal Machine Translation: Tasks, Methods and Challenges
Huangjun Shen, Liangying Shao, Wenbo Li, Zhibin Lan, Zhanyu Liu, Jinsong Su
A Survey of Artificial Intelligence in Gait-Based Neurodegenerative Disease Diagnosis
Haocong Rao, Minlin Zeng, Xuejiao Zhao, Chunyan Miao
A Survey of Integrating Wireless Technology into Active Noise Control
Xiaoyi Shen, Dongyuan Shi, Zhengding Luo, Junwei Ji, Woon-Seng Gan
Towards Graph Contrastive Learning: A Survey and Beyond
Wei Ju, Yifan Wang, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Junyu Luo, Junwei Yang, Yiyang Gu, Dongjie Wang, Qingqing Long, Siyu Yi, Xiao Luo, Ming Zhang
Large Language Models for Medicine: A Survey
Yanxin Zheng, Wensheng Gan, Zefeng Chen, Zhenlian Qi, Qian Liang, Philip S. Yu
A Survey on Large Language Models with Multilingualism: Recent Advances and New Frontiers
Kaiyu Huang, Fengran Mo, Hongliang Li, You Li, Yuanchi Zhang, Weijian Yi, Yulong Mao, Jinchen Liu, Yuzhuang Xu, Jinan Xu, Jian-Yun Nie, Yang Liu
Efficient Multimodal Large Language Models: A Survey
Yizhang Jin, Jian Li, Yexin Liu, Tianjun Gu, Kai Wu, Zhengkai Jiang, Muyang He, Bo Zhao, Xin Tan, Zhenye Gan, Yabiao Wang, Chengjie Wang, Lizhuang Ma
From Sora What We Can See: A Survey of Text-to-Video Generation
Rui Sun, Yumin Zhang, Tejal Shah, Jiahao Sun, Shuoying Zhang, Wenqi Li, Haoran Duan, Bo Wei, Rajiv Ranjan
Medical Dialogue: A Survey of Categories, Methods, Evaluation and Challenges
Xiaoming Shi, Zeming Liu, Li Du, Yuxuan Wang, Hongru Wang, Yuhang Guo, Tong Ruan, Jie Xu, Shaoting Zhang