negation understanding

Not Just What’s There: Enabling CLIP to Comprehend Negated Visual Descriptions Without Fine-Tuning AAAI 2026 Thunder-NUBench: A Benchmark for LLMs’ Sentence-Level Negation Understanding EACL 2026 Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation NAACL 2025 Know "No" Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP ICCV 2025 Learning the Power of "No": Foundation Models with Negations WACV 2025 NegVQA: Can Vision Language Models Understand Negation? ACL 2025 The Impact of Negated Text on Hallucination with Large Language Models EMNLP 2025 Vision-Language Models Do Not Understand Negation CVPR 2025 How and where does CLIP process negation? ACL 2024 Paraphrasing in Affirmative Terms Improves Negation Understanding ACL 2024 To Learn or Not to Learn: Replaced Token Detection for Learning the Meaning of Negation COLING 2024 Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models ACL 2023 Language models are not naysayers: an analysis of language models on negation benchmarks ACL 2023 NLMs: Augmenting Negation in Language Models EMNLP 2023 This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models EMNLP 2023 Context Matters: A Pragmatic Study of PLMs’ Negation Understanding ACL 2022 A Bag of Tricks for Dialogue Summarization EMNLP 2021 Investigating Negation in Pre-trained Vision-and-language Models EMNLP 2021