Thunder-KoNUBench: A Corpus-Aligned Benchmark for Korean Negation Understanding
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1866914240157188096 |
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| author | Jung, Sungmok So, Yeonkyoung Lee, Joonhak Kim, Sangho Ahn, Yelim Lee, Jaejin |
| author_facet | Jung, Sungmok So, Yeonkyoung Lee, Joonhak Kim, Sangho Ahn, Yelim Lee, Jaejin |
| contents | Although negation is known to challenge large language models (LLMs), benchmarks for evaluating negation understanding, especially in Korean, are scarce. We conduct a corpus-based analysis of Korean negation and show that LLM performance degrades under negation. We then introduce Thunder-KoNUBench, a sentence-level benchmark that reflects the empirical distribution of Korean negation phenomena. Evaluating 47 LLMs, we analyze the effects of model size and instruction tuning, and show that fine-tuning on Thunder-KoNUBench improves negation understanding and broader contextual comprehension in Korean. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_04693 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Thunder-KoNUBench: A Corpus-Aligned Benchmark for Korean Negation Understanding Jung, Sungmok So, Yeonkyoung Lee, Joonhak Kim, Sangho Ahn, Yelim Lee, Jaejin Computation and Language Although negation is known to challenge large language models (LLMs), benchmarks for evaluating negation understanding, especially in Korean, are scarce. We conduct a corpus-based analysis of Korean negation and show that LLM performance degrades under negation. We then introduce Thunder-KoNUBench, a sentence-level benchmark that reflects the empirical distribution of Korean negation phenomena. Evaluating 47 LLMs, we analyze the effects of model size and instruction tuning, and show that fine-tuning on Thunder-KoNUBench improves negation understanding and broader contextual comprehension in Korean. |
| title | Thunder-KoNUBench: A Corpus-Aligned Benchmark for Korean Negation Understanding |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2601.04693 |