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 3D Human Avatar Modeling -- From Reconstruction to Generation
Ruihe Wang, Yukang Cao, Kai Han, Kwan-Yee K. Wong
Benchmark Data Contamination of Large Language Models: A Survey
Cheng Xu, Shuhao Guan, Derek Greene, M-Tahar Kechadi
A Survey of Language-Based Communication in Robotics
William Hunt, Sarvapali D. Ramchurn, Mohammad D. Soorati
Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art
Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen
Memorization in deep learning: A survey
Jiaheng Wei, Yanjun Zhang, Leo Yu Zhang, Ming Ding, Chao Chen, Kok-Leong Ong, Jun Zhang, Yang Xiang
A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions
Ons Aouedi, Thai-Hoc Vu, Alessio Sacco, Dinh C. Nguyen, Kandaraj Piamrat, Guido Marchetto, Quoc-Viet Pham
A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions
Lei Liu, Xiaoyan Yang, Junchi Lei, Xiaoyang Liu, Yue Shen, Zhiqiang Zhang, Peng Wei, Jinjie Gu, Zhixuan Chu, Zhan Qin, Kui Ren
A Survey of Transformer Enabled Time Series Synthesis
Alexander Sommers, Logan Cummins, Sudip Mittal, Shahram Rahimi, Maria Seale, Joseph Jaboure, Thomas Arnold
Inference Attacks: A Taxonomy, Survey, and Promising Directions
Feng Wu, Lei Cui, Shaowen Yao, Shui Yu
AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways
Zehang Deng, Yongjian Guo, Changzhou Han, Wanlun Ma, Junwu Xiong, Sheng Wen, Yang Xiang
Safeguarding Large Language Models: A Survey
Yi Dong, Ronghui Mu, Yanghao Zhang, Siqi Sun, Tianle Zhang, Changshun Wu, Gaojie Jin, Yi Qi, Jinwei Hu, Jie Meng, Saddek Bensalem, Xiaowei Huang
Toward Efficient Deep Spiking Neuron Networks:A Survey On Compression
Hui Xie, Ge Yang, Wenjuan Gao
Towards Scalable Automated Alignment of LLMs: A Survey
Boxi Cao, Keming Lu, Xinyu Lu, Jiawei Chen, Mengjie Ren, Hao Xiang, Peilin Liu, Yaojie Lu, Ben He, Xianpei Han, Le Sun, Hongyu Lin, Bowen Yu
A Survey of Generative Information Retrieval
Tzu-Lin Kuo, Tzu-Wei Chiu, Tzung-Sheng Lin, Sheng-Yang Wu, Chao-Wei Huang, Yun-Nung Chen
A Survey of Useful LLM Evaluation
Ji-Lun Peng, Sijia Cheng, Egil Diau, Yung-Yu Shih, Po-Heng Chen, Yen-Ting Lin, Yun-Nung Chen
Visual place recognition for aerial imagery: A survey
Ivan Moskalenko, Anastasiia Kornilova, Gonzalo Ferrer
A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving
Di Wu, Feng Yang, Benlian Xu, Pan Liao, Bo Liu
The Future of Aerial Communications: A Survey of IRS-Enhanced UAV Communication Technologies
Zina Chkirbene, Ala Gouissem, Ridha Hamila, Devrim Unal