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Eduardo Blanco

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#artificial intelligence Preprint Sep 2026

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...

Tian-Jue Tan, Eduardo Blanco · 0 citations

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