Papers by Hai Park
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. |