Papers by Hai Park

2 papers
Enhancing Language Generation with Effective Checkpoints of Pre-trained Language Model (2021.findings-acl)

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Challenge: Existing methods to exploit PrLMs for NLG tasks do not get as much performance gain as in the NLU task.
Approach: They propose a method to integrate public checkpoints of PrLMs for the most convenience.
Outcome: The proposed method significantly improves the quality of the language generation tasks on 6 different kinds of PrLMs.
Developing a Pragmatic Benchmark for Assessing Korean Legal Language Understanding in Large Language Models (2024.findings-emnlp)

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Challenge: Large language models (LLMs) have demonstrated remarkable performance in the legal domain, with GPT-4 even passing the Uniform Bar Exam in the U.S. However their efficacy remains limited for non-standardized tasks and tasks in languages other than English.
Approach: They propose a benchmark for assessing the Korean legal language understanding of LLMs consisting of 7 legal knowledge tasks and 4 legal reasoning tasks.
Outcome: The proposed model passes the Uniform Bar Exam in the U.S. but its performance is limited for non-standardized tasks and tasks in languages other than English.

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