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Select prompting with chain-of-thought paired with large language models | Synapse
March 3, 2026
Select prompting with chain-of-thought paired with large language models
XC
Xun Che
Nanjing University of Science and Technology
WW
Wenjia Wu
Nanjing University of Information Science and Technology
YC
Yadang Chen
Nanjing University of Information Science and Technology
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Key Points
The implementation of chain-of-thought prompting leads to better task performance with large language models.
Evaluation metrics indicate a significant improvement, showcasing results that surpass standard prompting techniques.
Experimental analysis on various datasets was conducted to assess the effectiveness of the proposed prompting method.
These findings highlight the potential of refining cognitive processes in AI through advanced prompting strategies.
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Cite This Study
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Che et al. (Wed,) studied this question.
synapsesocial.com/papers/69a76039c6e9836116a2cc04
https://doi.org/https://doi.org/10.1016/j.eswa.2026.131511