Jeonghyun Kang — accepted AI-conference papers

2025

Can Large Language Models Differentiate Harmful from Argumentative Essays? Steps Toward Ethical Essay Scoring

Hongjin Kim, Jeonghyun Kang, Harksoo Kim

COLING 2025main

This study addresses critical gaps in Automatic Essay Scoring (AES) systems and Large Language Models (LLMs) with regard to their ability to effectively identify and score harmful essays. Despite advancements in AES technology, current models often overlook ethically and morally problematic elements…

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2025

Generation-Based and Emotion-Reflected Memory Update: Creating the KEEM Dataset for Better Long-Term Conversation

Jeonghyun Kang, Hongjin Kim, Harksoo Kim

COLING 2025main

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 systems. Unlike existing approaches that rely on simple accumulation or operation-based methods, which often result in in…

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