Papers by Kyungkoo Min

2 papers
Korean-Specific Dataset for Table Question Answering (2022.lrec-1)

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Challenge: Existing question answering systems mainly focus on text data, but few Korean datasets exist . a dataset for table question answering is written in English, but it lacks Korean-specific datasets .
Approach: They construct Korean-specific datasets for table question answering using crowd-sourced workers . they then fine-tune the model with these datasets and report the evaluation results .
Outcome: The proposed model is based on Korean datasets and is publicly available . the model is evaluated against other datasets from Korean question answering systems .
ReSQL: Self-Improving Framework for Reasoning-Aware Text-to-SQL Dataset Generation (2026.findings-acl)

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Challenge: Experimental results show that ReSQL significantly improves execution accuracy and self-correction ability over strong baselines.
Approach: They propose a framework that generates and learns from its own error-reasoning dataset . it allows models to internalize robust error-reference patterns and apply them to unseen queries .
Outcome: The proposed framework improves execution accuracy and self-correction ability over strong baselines.

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