Thunder-KoNUBench: A Corpus-Aligned Benchmark for Korean Negation Understanding
This research created Thunder-KoNUBench, a new sentence-level benchmark to test how large language models handle negation in Korean. The study found that LLMs struggle with Korean negation, showing performance drops when models must reason about these complex linguistic features, and it provides a dataset reflecting real usage.