The potential of Large Language Models in language education

Author:

Hamaniuk Vita A.ORCID

Abstract

This editorial explores the potential of Large Language Models (LLMs) in language education. It discusses the role of LLMs in machine translation, the concept of ‘prompt programming’, and the inductive bias of LLMs for abstract textual reasoning. The editorial also highlights using LLMs as creative writing tools and their effectiveness in paraphrasing tasks. It concludes by emphasizing the need for responsible and ethical use of these tools in language education.

Publisher

Academy of Cognitive and Natural Sciences

Reference7 articles.

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2. Brants, T., Popat, A.C., Xu, P., Och, F.J., Dean, J.: Large Language Models in Machine Translation. In: Eisner, J. (ed.) EMNLP-CoNLL 2007, Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, June 28-30, 2007, Prague, Czech Republic, pp. 858–867, ACL (2007), URL https://aclanthology.org/D07-1090/

3. Luitse, D., Denkena, W.: The great Transformer: Examining the role of large language models in the political economy of AI. Big Data & Society 8(2), 20539517211047734 (2021), doi:10.1177/20539517211047734

4. Reynolds, L., McDonell, K.: Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm. In: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, CHI EA ’21, Association for Computing Machinery, New York, NY, USA (2021), ISBN 9781450380959, doi:10.1145/3411763.3451760

5. Rytting, C.M., Wingate, D.: Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning. In: Ranzato, M., Beygelzimer, A., Dauphin, Y.N., Liang, P., Vaughan, J.W. (eds.) Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, pp. 17111–17122 (2021), URL https://proceedings.neurips.cc/paper/2021/hash/8e08227323cd829e449559bb381484b7-Abstract.html

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