| | Chain of Knowledge Graph: Information-Preserving Multi-Document Summarization for Noisy Documents
Kangil Lee, Jinwoo Jang, Youngjin Lim and Minsu Shin |
| | CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning
Jinze Sun, Yongpan Sheng, Lirong He, Yongbin Qin, Ming Liu and Tao Jia |
| | Reasoning Knowledge Filter for Logical Table-to-Text Generation
Yu Bai, baoqiang liu, Shuang Xue, Fang Cai, Na Ye and Guiping Zhang |
| | From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs
Wangtao Sun, Shizhu He, Jun Zhao and Kang Liu |
| | LAB-KG: A Retrieval-Augmented Generation Method with Knowledge Graphs for Medical Lab Test Interpretation
Rui Guo, Barry Devereux, Greg Farnan and Niall McLaughlin |
| | Bridging Language and Scenes through Explicit 3-D Model Construction
Tiansi Dong, Writwick Das and Rafet Sifa |
| | VCRMNER: Visual Cue Refinement in Multimodal NER using CLIP Prompts
Yu Bai, Lianji Wang, Xiang Liu, Haifeng Chi and Guiping Zhang |
| | Neuro-Conceptual Artificial Intelligence: Integrating OPM with Deep Learning to Enhance Question Answering Quality
Xin Kang, Veronika Shteyngardt, Yuhan Wang and Dov Dori |
| | Emergence of symbolic abstraction heads for in-context learning in large language models
Ali Al-Saeedi and Aki Harma |
| | Linking language model predictions to human behaviour on scalar implicatures
Yulia Zinova, David Arps, Katharina Spalek and Jacopo Romoli |
| | Generative FrameNet: Scalable and Adaptive Frames for Interpretable Knowledge Storage and Retrieval for LLMs Powered by LLMs
Harish Tayyar Madabushi, Taylor Hudson and Claire Bonial |