36 citations · 44 across the 7 of their papers we have counts for
7 papers
Generation-Based and Emotion-Reflected Memory Update: Creating the KEEM Dataset for Better Long-Term Conversation
Jeonghyun Kang, Hongjin Kim, Harksoo Kim
In this work, we introduce the Keep Emotional and Essential Memory (KEEM) dataset, a novel generation-based dataset designed to enhance memory updates in long-term conversational s…
Can Large Language Models Differentiate Harmful from Argumentative Essays? Steps Toward Ethical Essay Scoring
Hongjin Kim, Jeonghyun Kang, Harksoo Kim
This study addresses critical gaps in Automated Essay Scoring (AES) systems and Large Language Models (LLMs) with regard to their ability to effectively identify and score harmful…
STEAM: A Semantic-Level Knowledge Editing Framework for Large Language Models
Geunyeong Jeong, Juoh Sun, Seonghee Lee +1
Large Language Models store extensive factual knowledge acquired during large-scale pre-training. However, this knowledge is inherently static, reflecting only the state of the wor…
Exploring the Impact of Instruction-Tuning on LLM's Susceptibility to Misinformation
Kyubeen Han, Junseo Jang, Hongjin Kim +2
Instruction-tuning enhances the ability of large language models (LLMs) to follow user instructions more accurately, improving usability while reducing harmful outputs. However, th…
Improving Document-Level Sentiment Classification Using Importance of Sentences
Gihyeon Choi, Shinhyeok Oh, Harksoo Kim
Previous researchers have considered sentiment analysis as a document classification task, in which input documents are classified into predefined sentiment classes. Although there…
Dual Pointer Network for Fast Extraction of Multiple Relations in a Sentence
Seongsik Park, Harksoo Kim
Relation extraction is a type of information extraction task that recognizes semantic relationships between entities in a sentence. Many previous studies have focused on extracting…