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October 8, 2025Open Access

Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques

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Sarc7 benchmarks seven types of sarcasm, improving classification of nuanced communication challenges.
The classification achieved an F1 score of 0.3664, with Gemini 2.5 outperforming other models.
Emotion-based prompting techniques enhance sarcasm generation, leading to a 38.46% increase in effectiveness.
These findings suggest that incorporating emotion can significantly improve sarcasm recognition and generation.

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Benchmark assesses sarcasm classification using language models and emotion-based prompting methods.

Xiong et al. (2025) studied this question.

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