Papers by Sangah Lee

2 papers
Nunchi-Bench: Benchmarking Language Models on Cultural Reasoning with a Focus on Korean Superstition (2025.findings-acl)

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Challenge: Existing research has evaluated large language models' cultural knowledge and contextual understanding, reducing their effectiveness in multicultural settings.
Approach: They propose a benchmark to evaluate LLMs' cultural understanding with a focus on Korean superstitions.
Outcome: The proposed benchmark assesses multilingual LLMs in Korean and English to analyze their ability to reason about Korean cultural contexts and how language variations affect performance.
ManNER & ManPOS: Pioneering NLP for Endangered Manchu Language (2024.lrec-main)

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Challenge: a new study examines the impact of natural language processing (NLP) on the endangered Manchu language.
Approach: They propose to use BiLSTM-CRF, BERT, and mBERT to train transformer-based models on Manchu for NER and POS tagging tasks.
Outcome: The proposed models achieved over 90% F1 score in both NER and POS tasks.

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