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ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models
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Humor is a central aspect of human communication that has not been solved for artificial agents so far. Large language models (LLMs) are increasingly able to capture implicit and contextual information. Especially, OpenAI's ChatGPT recently gained immense public attention. The GPT3-based model almost seems to communicate on a human level and can even tell jokes. Humor is an essential component of human communication. But is ChatGPT really funny? We put ChatGPT's sense of humor to the test. In a series of exploratory experiments around jokes, i.e., generation, explanation, and detection, we seek to understand ChatGPT's capability to grasp and reproduce human humor. Since the model itself is not accessible, we applied prompt-based experiments. Our empirical evidence indicates that jokes are not hard-coded but mostly also not newly generated by the model. Over 90% of 1008 generated jokes were the same 25 Jokes. The system accurately explains valid jokes but also comes up with fictional explanations for invalid jokes. Joke-typical characteristics can mislead ChatGPT in the classification of jokes. ChatGPT has not solved computational humor yet but it can be a big leap toward "funny" machines.
Forward citations
Cited by 2 Pith papers
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HumorGen: Cognitive Synergy for Humor Generation in Large Language Models via Persona-Based Distillation
Persona-based Mixture-of-Thought data curation lets a 7B student outperform larger models on humor generation, while DPO and O-GRPO add no gain over SFT.
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AI Humor Generation: Cognitive, Social and Creative Skills for Effective Humor
A fine-tuned LLM pipeline that extracts image details, generates relatable narratives, and ranks captions with a Gen Z humor judge produces Instagram captions rated nearly as funny as top human captions by Gen Z raters.
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