Papers
Domain Prompt Learning with Quaternion Networks (Extended Abstract)
Qinglong Cao, Zhengqin Xu, Yuntian Chen et al.
Shapley Value Computation in Ontology-Mediated Query Answering (Extended Abstract)
Meghyn Bienvenu, Diego Figueira, Pierre Lafourcade
FairCognizer: A Model for Accurate Predictions with Inherent Fairness Evaluation (Extended Abstract)
Adda Akram Bendoukha, Nesrine Kaaniche, Aymen Boudguiga et al.
Meaning Holism and Indeterminacy of Reference in Ontologies (Extended Abstract)
Adrien Barton, Paul Fabry, Jean-François Ethier
Learning Accurate and Interpretable Decision Trees (Extended Abstract)
Maria-Florina Balcan, Dravyansh Sharma
Contractions Based on Optimal Repairs (Extended Abstract)
Franz Baader, Renata Wassermann
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors (Extended Abstract)
Ido Amos, Jonathan Berant, Ankit Gupta
Connector-S: A Survey of Connectors in Multi-modal Large Language Models
Xun Zhu, Zheng Zhang, Xi Chen et al.
A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained Models
Da-Wei Zhou, Han-Jia Ye
How to Enable LLM with 3D Capacity? A Survey of Spatial Reasoning in LLM
Jirong Zha, Yuxuan Fan, Xiao Yang et al.
Reward Models in Deep Reinforcement Learning: A Survey
Rui Yu, Shenghua Wan, Yucen Wang et al.
Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey
Haiyan Yin, Hangwei Qian, Yaxin Shi et al.
A Survey on Multi-View Knowledge Graph: Generation, Fusion, Applications and Future Directions
Zihan Yang, Xiaohui Tao, Taotao Cai et al.
Federated Low-Rank Adaptation for Foundation Models: A Survey
Yiyuan Yang, Guodong Long, Qinghua Lu et al.
Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models
Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo et al.
Tensor Network: from the Perspective of AI4Science and Science4AI
Junchi Yan, Yehui Tang, Xinyu Ye et al.
A Survey of Pathology Foundation Model: Progress and Future Directions
Conghao Xiong, Hao Chen, Joseph J. Y. Sung
A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions
Ziyang Xiao, Jingrong Xie, Lilin Xu et al.
A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencing
Jun Xia, Jingbo Zhou, Shaorong Chen et al.
Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review
Di Wu, Xian Wei, Guang Chen et al.
Safety of Embodied Navigation: A Survey
Zixia Wang, Jia Hu, Ronghui Mu
An Empirical Study of Federated Prompt Learning for Vision Language Model
Zhihao Wang, Wenke Huang, Tian Chen et al.
Deep Learning for Multivariate Time Series Imputation: A Survey
Jun Wang, Wenjie Du, Yiyuan Yang et al.
Large Language Models for Causal Discovery: Current Landscape and Future Directions
Guangya Wan, Yunsheng Lu, Yuqi Wu et al.
Human-Centric Foundation Models: Perception, Generation and Agentic Modeling
Shixiang Tang, Yizhou Wang, Lu Chen et al.