| Vol-3818 urn:nbn:de:0074-3818-4 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).

# LKM 2024
Large Knowledge-Enhanced Models 2024

### Proceedings of the First International OpenKG Workshop: Large Knowledge-Enhanced Models
co-locacted with The International Joint Conference on Artificial Intelligence (IJCAI 2024)

### Jeju Island, South Korea, August 3, 2024.

Edited by

### Ningyu Zhang *
Tianxing Wu **
Meng Wang ***
Guilin Qi **
Haofen Wang ***
Huajun Chen *

* Zhejiang University, Zhejiang, China
** Southeast University, Jiangsu, China
*** Tongji University, Shanghai, China

## Table of Contents

- Preface

- Augmenting Patent Summarization using Large Language Model with Knowledge Graph 1–13
  Shoon Lei Phyu, Murataly Uchkempirov, Mayesha Maliha Proma, Parag Kulkarni
- Cognitive Mirage: A Review of Hallucinations in Large Language Models 14-36
  Hongbin Ye, Tong Liu, Aijia Zhang, Wei Hua, Weiqiang Jia
- InLegalLLaMA: Indian Legal Knowledge Enhanced Large Language Model 37–46
  Sudipto Ghosh, Devanshu Verma, Balaji Ganesan, Purnima Bindal, Vikas Kumar, Vasudha Bhatnagar
- Knowledge Base-enhanced Multilingual Relation Extraction with Large Language Models 47–58
  Tong Chen, Procheta Sen, Zimu Wang, Zhengyong Jiang, Jionglong Su
- Designing a Language-Model-Based Chatbot that Considers User’s Personality Profile and Emotions To Support Caregivers of People With Dementia 59–70
  Yeganeh Nasiri, Nancy Fulda
- LLM-Driven Knowledge Enhancement for Securities Index Prediction 71–82
  Zaiyuan Di, Jianting Chen, Yunxiao Yang, Ling Ding, Yang Xiang
- Leveraging LLM-Constructed Graphs for Effective Goal-Driven Storytelling 83–95
  Taewoo Yoo, Yun-Gyung Cheong

2024-10-31: submitted by Ningyu Zhang, metadata incl. bibliographic data published under Creative Commons CC0
2024-11-01: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|