Papers by Hun Park

1 papers
Taxation Perspectives from Large Language Models: A Case Study on Additional Tax Penalties (2026.eacl-long)

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Challenge: Large language models (LLMs) have demonstrated promising results across various domains, including the legal domain.
Approach: They propose a benchmark to assess the ability of large language models to predict the legitimacy of additional tax penalties.
Outcome: The proposed model is based on 100 Korean court precedents and 100 binary-choice questions.

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