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JinHwan Choi

2 accepted papers

2024

Developing a Pragmatic Benchmark for Assessing Korean Legal Language Understanding in Large Language Models

EMNLP 2024finding

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. This underscores the need for careful evalu…

2021

FINE Samples for Learning with Noisy Labels

NeurIPS 2021poster

Modern deep neural networks (DNNs) become frail when the datasets contain noisy (incorrect) class labels. Robust techniques in the presence of noisy labels can be categorized into two folds: developing noise-robust functions or using noise-cleansing methods by detecting the noisy data. Recently, noi…