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In recent years, large language models (LLM) have emerged as powerful tools for diverse natural language processing tasks.
Grouplens: Applying collaborative filtering to usenet news
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Content-based filtering for recommendation systems using multiattribute networks
Decoupled Weight Decay Regularization. In International Conference on Learning Representations
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Justifying recommendations using distantly-labeled reviews and fine-grained aspects. In Proceedings of the 2019 conference on empirical methods in natural language processing and the 9th international joint conference on natural language processing (EMNLP-IJCNLP) . 188–197
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Exploring the limits of transfer learning with a unified text-to-text transformer
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Jieun Son and Seoung Bum Kim. 2017 · 2017
Cited alongside, same era.
Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, and Yongfeng Zhang. 2022 · 2022
Later among the works it cites.
Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
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