Do LLMs Actually Understand Sarcasm, or Just Pattern-Match It?

1. 1Build a sarcasm detector using a Turkish dataset to test the limits of pattern-matching
2. 2Run experiments to evaluate the detector's performance and identify potential biases
3. 3Configure the model to handle out-of-vocabulary words and nuanced language
4. 4Test the model's ability to generalize to new contexts and datasets
5. 5Apply lessons learned from the Turkish sarcasm detector to improve overall LLM performance

NLP engineers and researchers can benefit from understanding the nuances of sarcasm detection in LLMs to improve their models' performance and avoid potential pitfalls

💡 LLMs may not truly understand sarcasm, but rather rely on pattern-matching, which can lead to limitations and biases

🤖 Can LLMs truly understand sarcasm or just pattern-match it? 🤔