Papers by Gyuseong Lee
Thunder-NUBench: A Benchmark for LLMs’ Sentence-Level Negation Understanding (2026.findings-eacl)
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| Challenge: | Negation is a fundamental linguistic phenomenon that poses ongoing challenges for Large Language Models (LLMs) Current benchmarks treat negation as a minor detail within broader tasks, such as natural language inference. |
| Approach: | They propose a novel benchmark specifically created to assess sentence-level understanding of negation in Large Language Models (LLMs). |
| Outcome: | The proposed benchmark compares standard negation with structurally diverse alternatives, such as local negation, contradiction, and paraphrase. |
Assessing Socio-Cultural Alignment and Technical Safety of Sovereign LLMs (2025.findings-emnlp)
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| Challenge: | Recent trends in LLMs development show growing interest in the use and application of sovereign LLM models. |
| Approach: | They propose a framework for extracting and evaluating socio-cultural elements of sovereign LLMs and assess their technical robustness. |
| Outcome: | The proposed framework assesses the socio-cultural elements of sovereign LLMs and their technical robustness. |
Thunder-DeID: Accurate and Efficient De-identification Framework for Korean Court Judgments (2025.findings-emnlp)
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| Challenge: | a recent study shows that the current de-identification process is inadequate for court judgments at scale . |
| Approach: | They propose a framework for de-identification that aligns with relevant laws and practices . they construct and release the first Korean legal dataset containing annotated judgments . |
| Outcome: | The proposed framework achieves state-of-the-art in the de-identification of court judgments. |