October 3, 2025Open Access

Token-free Models for Sarcasm Detection

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This analysis tests token-free models ByT5 and CANINE for sarcasm detection in social media and news, indicating enhanced accuracy.

ByT5 and CANINE outperform token-based models in sarcasm detection, achieving state-of-the-art performance.
The accuracy improvements observed were 0.77% on news headlines and 0.49% on Twitter datasets.
Tokenization can cause vocabulary mismatch, but token-free models effectively mitigate this issue.
Testing was conducted on both Twitter and news headlines, demonstrating robust NLP capabilities.

Mamtani et al. (2025) studied this question.

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