| Vol-3894 urn:nbn:de:0074-3894-2 Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# KiL 2024 and DL4KG 2024
KiL 2024: 4th International Workshop on Knowledge-infused Learning (Towards Consistent, Reliable, Explainable, and Safe LLMs) and DL4KG 2024: Deep Learning and Large Language Models for Knowledge Graphs 2024

### Joint Proceedings of the Workshop on Knowledge-infused Learning and the workshop on Deep Learning and Large Language Models for Knowledge Graphs
co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

### Barcelona, Spain, August 26, 2024.

Edited by

### Manas Gaur *
Efthymia Tsamoura **
Edward Raff ***
Nikhita Vedula ****
Srinivasan Parthasarathy *****
Genet Asefa Gesese +
Mehwish Alam ++
Davide Buscaldi +++
Michael Cochez ++++
Francesco Osborne +++++
Diego Reforgiato Recupero ++++++

* University of Maryland, Baltimore County, Baltimore, Maryland, United States
** Samsung Research, Cambridge, United Kingdom
*** Booz Allen Hamilton, United States
**** Amazon, United States
***** Ohio State University, Columbus, Ohio, United States
+ FIZ Karlsruhe, Germany ++ Télécom Paris, Institut Polytechnique de Paris, France
+++ Université Sorbonne Paris Nord, Labortoire d'Informatique Paris Nord (LIPN), Paris, France
++++ KRR, Vrije Universiteit Amsterdam, the Netherlands
+++++ KMI, Knowledge Media Institute, The Open University, UK
++++++ University of Cagliari, Department of Mathematics and Computer Science, Cagliari, Italy

## Table of Contents

### Workshop on Knowledge-infused Learning (KiL 2024)

- 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

### Deep Learning and Large Language Models for Knowledge Graphs (DL4KG 2024)

### Papers

- Relation Extraction for Constructing Knowledge Graphs: Enhancing the Searchability of Community-Generated Digital Content (CGDC) Collections Martin Marinov, Youcef Benkhedda, Ewan Hannaford, Marc Alexander, Goran Nenadic Riza Batista-Navarro
- KGMistral: Towards Boosting the Performance of Large Language Models for Question Answering with Knowledge Graph Integration Mingze Li, Haoran Yang, Zhaotai Liu, Mirza Mohtashim Alam, Ebrahim Norouzi, Harald Sack, Genet Asefa Gesese
- A Few-Shot Approach for Relation Extraction Domain Adaptation using Large Language Models Vanni Zavarella, Juan Carlos Gamero-Salinas, Sergio Consoli,
- Hidden Entity Detection from GitHub Leveraging Large Language Models Lu Gan, Martin Blum, Danilo Dessí, Brigitte Mathiak, Ralf Schenkel, Stefan Dietze

2024-12-31: submitted by Manas Gaur, 2025-01-27: ammendment Michael Cochez, metadata incl. bibliographic data published under Creative Commons CC0
2025-01-09: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|