Oral Papers

ID Title Authors
6 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
8 From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs Wangtao Sun, Shizhu He, Jun Zhao and Kang Liu
14 Bridging Language and Scenes through Explicit 3-D Model Construction Tiansi Dong, Writwick Das and Rafet Sifa
19 Neuro-Conceptual Artificial Intelligence: Integrating OPM with Deep Learning to Enhance Question Answering Quality Xin Kang, Veronika Shteingardt, Yuhan Wang and Dov Dori
21 Emergence of symbolic abstraction heads for in-context learning in large language models Ali Al-Saeedi and Aki Harma
24 Linking language model predictions to human behaviour on scalar implicatures Yulia Zinova, David Arps, Katharina Spalek and Jacopo Romoli

Poster Papers

ID Title Authors
4 Chain of Knowledge Graph: Information-Preserving Multi-Document Summarization for Noisy Documents Kangil Lee, Jinwoo Jang, Youngjin Lim and Minsu Shin
7 Reasoning Knowledge Filter for Logical Table-to-Text Generation Yu Bai, baoqiang liu, Shuang Xue, Fang Cai, Na Ye and Guiping Zhang
11 LAB-KG: A Retrieval-Augmented Generation Method with Knowledge Graphs for Medical Lab Test Interpretation Rui Guo, Barry Devereux, Greg Farnan and Niall McLaughlin
17 VCRMNER: Visual Cue Refinement in Multimodal NER using CLIP Prompts Yu Bai, Lianji Wang, Xiang Liu, Haifeng Chi and Guiping Zhang
25 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