Hyuk Namgoong — accepted AI-conference papers

2025

AMACE: Automatic Multi-Agent Chart Evolution for Iteratively Tailored Chart Generation

Hyuk Namgoong, Jeesu Jung, Hyeonseok Kang, Yohan Lee, Sangkeun Jung

EMNLP 2025

Many statistical facts are conveyed through charts. While various methods have emerged for chart understanding, chart generation typically requires users to manually input code, intent, and other parameters to obtain the desired format on chart generation tools. Recently, the advent of image-generat

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2024

Exploring Domain Robust Lightweight Reward Models based on Router Mechanism

Hyuk Namgoong, Jeesu Jung, Sangkeun Jung, YoonHyung Roh

ACL 2024findings

Recent advancements in large language models have heavily relied on the large reward model from reinforcement learning from human feedback for fine-tuning. However, the use of a single reward model across various domains may not always be optimal, often requiring retraining from scratch when new dom…

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