Tian-Jue Tan

Not all Negation Cues are Equal: Affixal Negations Yield Better Negation Understanding

Negation remains a longstanding challenge for both language models (LMs) and large language models (LLMs). Prior work mainly focuses on a small set of high-frequency single-word negation cues, such as not and never, with limited exploration of broader negation types and modern LLMs. To address this gap, we construct Ne...