Analysis
This article explores the capabilities of different Large Language Models (LLMs) in understanding and solving "kuso nazonazo", a specific type of wordplay riddles. The results provide valuable insights into the strengths and weaknesses of various LLMs in handling this creative and challenging type of puzzle. It's an interesting approach to test and compare the language comprehension abilities of modern AI.
Key Takeaways
- •The study tests LLMs on "kuso nazonazo", riddles that rely on wordplay and misdirection.
- •ChatGPT and Gemini were used, with Qwen3-Swallow and Nemotron-9B, all evaluated based on their performance.
- •The results highlight the differences in reasoning and understanding of language models.
- •The findings suggest that the accuracy of local language models is worse than large language models.
Reference / Citation
View Original"The article aims to examine to what extent current language models are strong or weak in these "kuso nazonazo"."