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
Clinical Document Corpora and Assorted Domain Proxies: A Survey of Diversity in Corpus Design, with Focus on German Text Data
Udo Hahn
Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook
Florinel-Alin Croitoru, Andrei-Iulian Hiji, Vlad Hondru, Nicolae Catalin Ristea, Paul Irofti, Marius Popescu, Cristian Rusu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Mubarak Shah
Large Language Model-Brained GUI Agents: A Survey
Chaoyun Zhang, Shilin He, Jiaxu Qian, Bowen Li, Liqun Li, Si Qin, Yu Kang, Minghua Ma, Guyue Liu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
A survey on cutting-edge relation extraction techniques based on language models
Jose A. Diaz-Garcia, Julio Amador Diaz Lopez
Online Knowledge Integration for 3D Semantic Mapping: A Survey
Felix Igelbrink, Marian Renz, Martin Günther, Piper Powell, Lennart Niecksch, Oscar Lima, Martin Atzmueller, Joachim Hertzberg
Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey
Hong-Hanh Nguyen-Le, Van-Tuan Tran, Dinh-Thuc Nguyen, Nhien-An Le-Khac
Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey
Jiayi Kuang, Jingyou Xie, Haohao Luo, Ronghao Li, Zhe Xu, Xianfeng Cheng, Yinghui Li, Xika Lin, Ying Shen
Rewiring Techniques to Mitigate Oversquashing and Oversmoothing in GNNs: A Survey
Hugo Attali, Davide Buscaldi, Nathalie Pernelle
Multimodal Alignment and Fusion: A Survey
Songtao Li, Hao Tang
Recommender Systems for Good (RS4Good): Survey of Use Cases and a Call to Action for Research that Matters
Dietmar Jannach, Alan Said, Marko Tkalčič, Markus Zanker
Recent Trends in Linear Text Segmentation: a Survey
Iacopo Ghinassi, Lin Wang, Chris Newell, Matthew Purver
Adapter-based Approaches to Knowledge-enhanced Language Models -- A Survey
Alexander Fichtl, Juraj Vladika, Georg Groh
Monocular Lane Detection Based on Deep Learning: A Survey
Xin He, Haiyun Guo, Kuan Zhu, Bingke Zhu, Xu Zhao, Jianwu Fang, Jinqiao Wang