A Study on the Representativeness Heuristics Problem in Large Language Models
Large language models (LLMs) exhibit remarkable proficiency in text generation. However, their logical reasoning capabilities require enhancement. Major strides have been achieved in reasoning techniques for LLM, such as Few-shot, Zero-shot, and Chain-of-Thought (CoT). Nevertheless, these techniques...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IEEE
2024-01-01
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| Col·lecció: | IEEE Access |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/10706240/ |
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