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The development of Large Language Models (LLMs) has notably transformed numerous sectors, offering impressive text generation capabilities.
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Zhao, T., Wei, M.-H., Preston, J.S., Poon, H.: Automatic calibration and error correction for generative large language models via pareto optimal self-supervision. (2023). https://api.semanticscholar.org/CorpusID:259361085
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2023
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Panadero, E.: Toward a paradigm shift in feedback research: Five further steps influenced by self-regulated learning theory. Educational Psychologist 58
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Chen, Y., Wen, Z., Fan, G., Chen, Z., Wu, W., Liu, D., Li, Z., Liu, B., Xiao, Y.: Mapo: Boosting large language model performance with model-adaptive prompt optimization. In: Findings of the Association for Computational Linguistics: EMNLP 2023, pp. 3279–3304 (2023)
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2024
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