The Impact of Negated Text on Hallucination with Large Language Models (2025.emnlp-main)
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| Challenge: | Recent studies on hallucination in large language models (LLMs) have been actively progressing in natural language processing. |
| Approach: | They propose to examine whether LLMs can recognize contextual shifts caused by negation and still reliably distinguish hallucinations comparable to affirmative cases. |
| Outcome: | The proposed model can detect hallucinations comparable to affirmative cases, but it is difficult to detect them in negated text, the authors show . |
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