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Text · dataset · 2022

NeQA - Can Large Language Models Understand Negation in Multi-choice Questions?

Listed in Hugging Face Datasets

NeQA: Can Large Language Models Understand Negation in Multi-choice Questions?

Description

(Zhengping Zhou and Yuhui Zhang) General description This task takes an existing multiple-choice dataset and negates a part of each question to see if language models are sensitive to negation. The authors find that smaller language models display approximately random performance whereas the performance of larger models become significantly worse than random.

Language models failing to follow… See the full description on the dataset page: huggingface.co/datasets/inverse-scaling/NeQA.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Artificial intelligence 71%
Provenance · 1 source records, 14 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsinverse-scaling/NeQA7 d agoJSON v1
FieldAssertionExtractorEvidence
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