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 of AI-Generated Video Evaluation
Xiao Liu, Xinhao Xiang, Zizhong Li, Yongheng Wang, Zhuoheng Li, Zhuosheng Liu, Weidi Zhang, Weiqi Ye, Jiawei Zhang
Deep Insights into Cognitive Decline: A Survey of Leveraging Non-Intrusive Modalities with Deep Learning Techniques
David Ortiz-Perez, Manuel Benavent-Lledo, Jose Garcia-Rodriguez, David Tomás, M. Flores Vizcaya-Moreno
Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions
Yujuan Fu, Ozlem Uzuner, Meliha Yetisgen, Fei Xia
A Survey of Multimodal Sarcasm Detection
Shafkat Farabi, Tharindu Ranasinghe, Diptesh Kanojia, Yu Kong, Marcos Zampieri
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Luping Wang, Sheng Chen, Linnan Jiang, Shu Pan, Runze Cai, Sen Yang, Fei Yang
Health Misinformation in Social Networks: A Survey of IT Approaches
Vasiliki Papanikou, Panagiotis Papadakos, Theodora Karamanidou, Thanos G. Stavropoulos, Evaggelia Pitoura, Panayiotis Tsaparas
A Survey on Deep Learning-based Gaze Direction Regression: Searching for the State-of-the-art
Franko Šikić, Donik Vršnak, Sven Lončarić
Improving Causal Reasoning in Large Language Models: A Survey
Longxuan Yu, Delin Chen, Siheng Xiong, Qingyang Wu, Qingzhen Liu, Dawei Li, Zhikai Chen, Xiaoze Liu, Liangming Pan
Foundation Models for Remote Sensing and Earth Observation: A Survey
Aoran Xiao, Weihao Xuan, Junjue Wang, Jiaxing Huang, Dacheng Tao, Shijian Lu, Naoto Yokoya
Natural Language Processing for Human Resources: A Survey
Naoki Otani, Nikita Bhutani, Estevam Hruschka
LLM-based Optimization of Compound AI Systems: A Survey
Matthieu Lin, Jenny Sheng, Andrew Zhao, Shenzhi Wang, Yang Yue, Yiran Wu, Huan Liu, Jun Liu, Gao Huang, Yong-Jin Liu
Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark
Thomas George, Pierre Nodet, Alexis Bondu, Vincent Lemaire
Procedural Content Generation in Games: A Survey with Insights on Emerging LLM Integration
Mahdi Farrokhi Maleki, Richard Zhao
A Survey of Conversational Search
Fengran Mo, Kelong Mao, Ziliang Zhao, Hongjin Qian, Haonan Chen, Yiruo Cheng, Xiaoxi Li, Yutao Zhu, Zhicheng Dou, Jian-Yun Nie
Event-based Sensor Fusion and Application on Odometry: A Survey
Jiaqiang Zhang, Xianjia Yu, Ha Sier, Haizhou Zhang, Tomi Westerlund
A Survey of Hallucination in Large Visual Language Models
Wei Lan, Wenyi Chen, Qingfeng Chen, Shirui Pan, Huiyu Zhou, Yi Pan
A Survey of Uncertainty Estimation in LLMs: Theory Meets Practice
Hsiu-Yuan Huang, Yutong Yang, Zhaoxi Zhang, Sanwoo Lee, Yunfang Wu