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
Towards Vision-Language Geo-Foundation Model: A Survey
Yue Zhou, Litong Feng, Yiping Ke, Xue Jiang, Junchi Yan, Xue Yang, Wayne Zhang
State-Space Modeling in Long Sequence Processing: A Survey on Recurrence in the Transformer Era
Matteo Tiezzi, Michele Casoni, Alessandro Betti, Marco Gori, Stefano Melacci
A Survey on Compositional Learning of AI Models: Theoretical and Experimetnal Practices
Sania Sinha, Tanawan Premsri, Parisa Kordjamshidi
Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL
Zijin Hong, Zheng Yuan, Qinggang Zhang, Hao Chen, Junnan Dong, Feiran Huang, Xiao Huang
A Survey of Pipeline Tools for Data Engineering
Anthony Mbata, Yaji Sripada, Mingjun Zhong
Resource Allocation and Workload Scheduling for Large-Scale Distributed Deep Learning: A Survey
Feng Liang, Zhen Zhang, Haifeng Lu, Chengming Li, Victor C. M. Leung, Yanyi Guo, Xiping Hu
Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey
Hao Yang, Yanyan Zhao, Yang Wu, Shilong Wang, Tian Zheng, Hongbo Zhang, Zongyang Ma, Wanxiang Che, Bing Qin
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Usman Gohar, Zeyu Tang, Jialu Wang, Kun Zhang, Peter L. Spirtes, Yang Liu, Lu Cheng
Survey for Landing Generative AI in Social and E-commerce Recsys -- the Industry Perspectives
Da Xu, Danqing Zhang, Guangyu Yang, Bo Yang, Shuyuan Xu, Lingling Zheng, Cindy Liang
Towards Lifelong Learning of Large Language Models: A Survey
Junhao Zheng, Shengjie Qiu, Chengming Shi, Qianli Ma
Quantum Architecture Search: A Survey
Darya Martyniuk, Johannes Jung, Adrian Paschke
A Survey on Incomplete Multi-label Learning: Recent Advances and Future Trends
Xiang Li, Jiexi Liu, Xinrui Wang, Songcan Chen
Explainable AI for Mental Disorder Detection via Social Media: A survey and outlook
Yusif Ibrahimov, Tarique Anwar, Tommy Yuan
A Review of Prominent Paradigms for LLM-Based Agents: Tool Use (Including RAG), Planning, and Feedback Learning
Xinzhe Li
A Survey on Text-guided 3D Visual Grounding: Elements, Recent Advances, and Future Directions
Daizong Liu, Yang Liu, Wencan Huang, Wei Hu
Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives
Thong Nguyen, Yi Bin, Junbin Xiao, Leigang Qu, Yicong Li, Jay Zhangjie Wu, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan