Workshop Program

Date: Monday, January 20th, 2025

Location: Conference Hall B (A)

Time	Event	Details
08:50–09:10	Welcome	Chair: Kang Liu
09:10–09:50	Keynote 1 (online)	Heng Ji – Symbolic Bridge between Low-Level Visual Perception and High-Level Language Reasoning Chair: Erhard Hinrichs
09:50–10:30	Keynote 2	Erhard Hinrichs – Large Language Models and the Death of Lexicography? Chair: Rafet Sifa
10:30–11:00	Morning coffee break
11:00–11:40	Keynote 3	Yansong Feng – Can Large Language Models Really Understand Grammar Rules for Low-resource Language Translation? Chair: Tiansi Dong
11:40–12:25	Oral Session 1	Chair: Yansong Feng
	Oral 1 (online): From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs	Wangtao Sun, Shizhu He, Jun Zhao and Kang Liu
	Oral 2: Neuro-Conceptual Artificial Intelligence: Integrating OPM with Deep Learning to Enhance Question Answering Quality	Xin Kang, Veronika Shteyngardt, Yuhan Wang and Dov Dori
	Oral 3 (online): 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
12:25–14:00	Lunch break
14:00–14:40	Keynote 4 (online)	Yixin Cao – Towards complex reasoning by meaningful learning with symbolic & neuron systems Chair: Shizhu He
14:40–15:20	Keynote 5	Tiansi Dong – Can Supervised Deep-Learning achieve the rigour of logical reasoning? Chair: Shizhu He
15:20–16:00	Afternoon coffee break
16:00–16:45	Oral Session 2	Chair: Kang Liu
	Oral 4: Bridging Language and Scenes Explicit 3-D Model Construction	Tiansi Dong, Writwick Das and Rafet Sifa
	Oral 5: Emergence of symbolic abstraction heads for in-context learning in large language models	Ali Al-Saeedi and Aki Harma
	Oral 6: Linking language model predictions to human behaviour on scalar implicatures	Yulia Zinova, David Arps, Katharina Spalek and Jacopo Romoli
16:45–17:30	Poster Session
	From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs	Wangtao Sun, Shizhu He, Jun Zhao and Kang Liu
	Bridging Language and Scenes through Explicit 3-D Model Construction	Tiansi Dong, Writwick Das and Rafet Sifa
	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
	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
	Reasoning Knowledge Filter for Logical Table-to-Text Generation	Yu Bai, Baoqiang Liu, Shuang Xue, Fang Cai, Na Ye and Guiping Zhang
	LAB-KG: A Retrieval-Augmented Generation Method with Knowledge Graphs for Medical Lab Test Interpretation	Rui Guo, Barry Devereux, Greg Farnan and Niall McLaughlin
	Chain of Knowledge Graph: Information-Preserving Multi-Document Summarization for Noisy Documents	Kangil Lee, Jinwoo Jang, Youngjin Lim and Minsu Shin
	VCRMNER: Visual Cue Refinement in Multimodal NER using CLIP Prompts	Yu Bai, Lianji Wang, Xiang Liu, Haifeng Chi and Guiping Zhang
	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
17:30–18:00	Closing Session & Best Paper Awards	Chair: Shizhu He