KiL 2024
KiL 2024: 4th International Workshop on Knowledge-infused Learning (Towards Consistent, Reliable, Explainable, and Safe LLMs)

Table of Contents

• Preface
  
  

Papers

• Towards Optimizing with Large Language Model 1-11
  Pei-Fu Guo, Ying-Hsuan Chen, Yun-Da Tsai, Shou-De Lin
• Enhancing the Reliability of LLMs-based Systems for Survey Generation through Distributional Drift Detection 12-19
  Vinicius Monteiro de Lira, Antonio Maiorino, Peng Jiang
• GraphEval: A Knowledge-Graph Based LLM Hallucination Evaluation Framework 20-31
  Hannah Sansford, Nicholas Richardson, Hermina Petric Maretic, Juba Nait Saada
• Enhancing Semantic Understanding in Vision Language Models Using Meaning Representation Negative Generation 32-41
  Ziyi Shou, Fangzhen Lin
• Can LLMs Solve Reading Comprehension Tests as Second Language Learners? 42-49
  Akio Hayakawa, Horacio Saggion
• Infodeslib: Python Library for Dynamic Ensemble Learning using Late Fusion of Multimodal Data 50-58
  Firuz Juraev, Shaker El-Sappagh, Tamer Abuhmed
• Design and Optimization of Heat Exchangers Using Large Language Models 59-80
  Sandeep Mishra, Vishal Jadhav, Shirish Karande, Venkataramana Runkana
• Encoding Medical Ontologies With Holographic Reduced Representations for Transformers 81-92
  Bing Hu, Trevor Yu, Tia Tuinstra, Ryan Rezai, Harshit Bokadia, Rachel DiMaio, Thomas Fortin, Brian Vartian, Bryan Tripp
• Enhancing Natural Language Understanding in Large Language Models by Symbolic Representation 93-107
  Bingqian Li, Baiyang Song, Yi Zhou
• Traffic Accident Prediction and Warning System: Integration Use Case 108-118
  Amirhossein Ghaffari, Huong Nguyen, Alaa Saleh, Lauri Lovén, Ekaterina Gilman
• Towards Explainable and Ontologically Grounded Language Models⋆ 119-124
  Walid S. Saba
• Sentimental Agents: Exploring Deliberation, Cognitive Biases, and Decision-making in LLM-based Multiagent Systems 125-135
  Elizabeth A. Ondula, Daniele Orner, Nick Mumero Mwangi, Casandra Rusti
• Towards Infusing Auxiliary Knowledge for Distracted Driver Detection 136-143
  Ishwar B Balappanawar, Ashmit Chamoli, Ruwan Wickramarachchi, Aditya Mishra, Ponnurangam Kumaraguru, Amit Sheth
• Prompt-Time Ontology-Driven Symbolic Knowledge Capture with Large Language Models 144-149
  Tolga Çöplü, Arto Bendiken, Andrii Skomorokhov, Eduard Bateiko, Stephen Cobb