Papers
Game Theory Meets Large Language Models: A Systematic Survey
Haoran Sun, Yusen Wu, Yukun Cheng et al.
A Survey of Structural Entropy: Theory, Methods, and Applications
Dingli Su, Hao Peng, Yicheng Pan et al.
Multimodal Retina Image Analysis Survey: Datasets, Tasks and Methods
Hongwei Sheng, Heming Du, Xin Shen et al.
The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning
Sheila Schoepp, Masoud Jafaripour, Yingyue Cao et al.
Image Captioning Evaluation in the Age of Multimodal LLMs: Challenges and Future Perspectives
Sara Sarto, Marcella Cornia, Rita Cucchiara
Comprehensive Review of Neural Differential Equations for Time Series Analysis
YongKyung Oh, Seungsu Kam, Jonghun Lee et al.
Harnessing Vision Models for Time Series Analysis: A Survey
Jingchao Ni, Ziming Zhao, ChengAo Shen et al.
Federated Learning at the Forefront of Fairness: A Multifaceted Perspective
Noorain Mukhtiar, Adnan Mahmood, Yipeng Zhou et al.
Grounding Creativity in Physics: A Brief Survey of Physical Priors in AIGC
Siwei Meng, Yawei Luo, Ping Liu
A Survey on the Feedback Mechanism of LLM-based AI Agents
Zhipeng Liu, Xuefeng Bai, Kehai Chen et al.
One-shot Federated Learning Methods: A Practical Guide
Xiang Liu, Zhenheng Tang, Xia Li et al.
Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era
Chenxi Liu, Shaowen Zhou, Qianxiong Xu et al.
Graph Neural Networks for Databases: A Survey
Ziming Li, Youhuan Li, Yuyu Luo et al.
A Survey on Bandit Learning in Matching Markets
Shuai Li, Zilong Wang, Fang Kong
Survey on Strategic Mining in Blockchain: A Reinforcement Learning Approach
Jichen Li, Lijia Xie, Hanting Huang et al.
Evaluation of Medical Large Language Models: Taxonomy, Review, and Directions
Anisio Lacerda, Gisele Pappa, Adriano César Machado Pereira et al.
A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics
Takeshi Kojima, Yaonan Zhu, Yusuke Iwasawa et al.
Zero-shot Quantization: A Comprehensive Survey
Minjun Kim, Jaehyeon Choi, Jongkeun Lee et al.
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities
Pengfei Jiao, Hongjiang Chen, Xuan Guo et al.
Emerging Advances in Learned Video Compression: Models, Systems and Beyond
Chuanmin Jia, Feng Ye, Siwei Ma et al.
Words Over Pixels? Rethinking Vision in Multimodal Large Language Models
Anubhooti Jain, Mayank Vatsa, Richa Singh
RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering
Matthew Hull, Haoran Wang, Matthew Lau et al.
Generative AI for Immersive Video: Recent Advances and Future Opportunities
Kaiyuan Hu, Yili Jin, Hao Zhou et al.
Toward Robust Non-Transferable Learning: A Survey and Benchmark
Ziming Hong, Yongli Xiang, Tongliang Liu
Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction To Generation and Beyond
Kehan Guo, Yili Shen, Gisela Abigail Gonzalez-Montiel et al.