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The advent of Large Language Models has revolutionized information retrieval, ushering in a new era of expansive knowledge accessibility.
J. Smith et al., Paragraph-Based Chunking Strategies for Improved Information Retrieval , Journal of Natural Language Processing , 25
2017
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J. Smith et al., Enhancing Multilingual Communication in Global Enterprises , International Journal of Business Communication , 46
2018
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Y. Liu et al., RoBERTa: A Robustly Optimized BERT Approach , arXiv preprint arXiv:1907.11692, 2019
2019
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2019
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T. B. Brown et al., Language Models are Few-Shot Learners , arXiv preprint arXiv:2005.14165, 2020
2020
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T. B. Brown et al., Language Models are Few-Shot Learners , NeurIPS , 2020
2020
Cited alongside, same era.
2020
Cited alongside, same era.
2020
Cited alongside, same era.
K. Lee et al., Retrieval Augmented Generation: Making Pre-trained Language Models Better , NeurIPS , 2021
2021
Cited alongside, same era.
2021
Cited alongside, same era.
2021
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H. Wang et al., Frameworks for Multilingual Communication in Enterprises , Journal of Enterprise Information Management , 35
2022
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Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H, Chain-of-Thought Prompting Elicits Reasoning in Large Language Models , Proceedings of Neural Informations Processing Systems , 2022
2022
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2022
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2023
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