Thunder-NUBench: A Benchmark for LLMs' Sentence-Level Negation Understanding
Thunder-NUBench is a new benchmark designed to test if Large Language Models truly understand sentence-level negation. It moves beyond simple negation detection by forcing models to distinguish between standard negations, local negations, contradictions, and paraphrases. The research shows how different model sizes and training methods affect this deep semantic understanding.