Beyond Self-consistency: Ensemble Reasoning Boosts Consistency and Accuracy of LLMs in Cancer Staging
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-66538-7_23
Reference7 articles.
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4. Kojima, T., Gu, S.S., Reid, M., Matsuo, Y., Iwasawa, Y.: Large language models are zero-shot reasoners. arXiv (2023). https://doi.org/10.48550/arXiv.2205.11916
5. Sivarajkumar, S., Kelley, M., Samolyk-Mazzanti, A., Visweswaran, S., Wang, Y.: An empirical evaluation of prompting strategies for large language models in zero-shot clinical natural language processing. arXiv (2023). https://doi.org/10.48550/arXiv.2309.08008
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