Vol-3817⫷ Vol-3818 ⫸Vol-3819
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 |