@@ -83,4 +83,4 @@ Further future experiments could explore the impact of models size, datset quali
The construction of adversarial riddles that intentionally mislead the models could help evaluate robustness and identify limitations in logical reasoning.
### 5.2 Conclusion
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This study highlights both the strengths and limitations of current LLMs in solving logical riddles. While significant progress has been made in natural language processing, more work is required to improve these models' reasoning abilities, particularly in the context of complex, multi-step problems.
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This study highlights both the strengths and limitations of current LLMs in solving logical riddles. While significant progress has been made in natural language processing, more work is required to improve these models' reasoning abilities, particularly in the context of complex, multi-step problems.
