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Haneul Yoo

10 accepted papers

2025

Code-Switching Curriculum Learning for Multilingual Transfer in LLMs

ACL 2025finding

Large language models (LLMs) now exhibit near human-level performance in various tasks, but their performance drops drastically after a handful of high-resource languages due to the imbalance in pre-training data. Inspired by the human process of second language acquisition, particularly code-switch…

2025

Code-Switching Red-Teaming: LLM Evaluation for Safety and Multilingual Understanding

ACL 2025long

As large language models (LLMs) have advanced rapidly, concerns regarding their safety have become prominent. In this paper, we discover that code-switching in red-teaming queries can effectively elicit undesirable behaviors of LLMs, which are common practices in natural language. We introduce a sim…

2025

MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty

NAACL 2025findings

Despite the massive advancements in large language models (LLMs), they still suffer from producing plausible but incorrect responses. To improve the reliability of LLMs, recent research has focused on uncertainty quantification to predict whether a response is correct or not. However, most uncertain…

2024

CLIcK: A Benchmark Dataset of Cultural and Linguistic Intelligence in Korean

COLING 2024main

Despite the rapid development of large language models (LLMs) for the Korean language, there remains an obvious lack of benchmark datasets that test the requisite Korean cultural and linguistic knowledge. Because many existing Korean benchmark datasets are derived from the English counterparts throu…

2024

RECIPE4U: Student-ChatGPT Interaction Dataset in EFL Writing Education

COLING 2024main

The integration of generative AI in education is expanding, yet empirical analyses of large-scale and real-world interactions between students and AI systems still remain limited. Addressing this gap, we present RECIPE4U (RECIPE for University), a dataset sourced from a semester-long experiment with…

2023

Rethinking Annotation: Can Language Learners Contribute?

ACL 2023long

Researchers have traditionally recruited native speakers to provide annotations for the widely used benchmark datasets. But there are languages for which recruiting native speakers is difficult, and it would help to get learners of those languages to annotate the data. In this paper, we investigate…

2022

HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea

NAACL 2022findings

Historical records in Korea before the 20th century were primarily written in Hanja, an extinct language based on Chinese characters and not understood by modern Korean or Chinese speakers. Historians with expertise in this time period have been analyzing the documents, but that process is very diff…

2022

Translating Hanja Historical Documents to Contemporary Korean and English

EMNLP 2022finding

The Annals of Joseon Dynasty (AJD) contain the daily records of the Kings of Joseon, the 500-year kingdom preceding the modern nation of Korea.The Annals were originally written in an archaic Korean writing system, ‘Hanja’, and were translated into Korean from 1968 to 1993.The resulting translation…

2021

Knowledge-Enhanced Evidence Retrieval for Counterargument Generation

EMNLP 2021finding

Finding counterevidence to statements is key to many tasks, including counterargument generation. We build a system that, given a statement, retrieves counterevidence from diverse sources on the Web. At the core of this system is a natural language inference (NLI) model that determines whether a can…