Guandong Feng, Guoliang Zhu, Shengze Shi, Yue Sun, Zhongyi Fan, Sulin Gao, and Jun Hu: Robust NL-to-Cypher Translation for KBQA: Harnessing Large Language Model with Chain of Prompts. In: Haofen Wang, Xianpei Han, Ming Liu, Gong Cheng, Yongbin Liu, Ningyu Zhang: Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence. 8th China Conference, CCKS 2023, Shenyang, China, August 24–27, 2023, Revised Selected Papers Springer, 2023, ISBN 978-981-9972-23-4, S. 317 ff. (hier S. 319) ("LLMs can perform various natural language tasks, such as understanding, summarizing, translating, predicting, and creating texts, by taking an input text and repeatedly predicting the next token or word"); vgl. Eight Things to Know about Large Language Models.
Junnan Li, Dongxu Li, Silvio Savarese, Steven Hoi: BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models. 2023, doi:10.48550/ARXIV.2301.12597, arxiv:2301.12597.
bigdata-insider.de
Was ist BERT? – von Stefan Luber, über Bigdata-Insider, am 10. Mai 2022.
Junnan Li, Dongxu Li, Silvio Savarese, Steven Hoi: BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models. 2023, doi:10.48550/ARXIV.2301.12597, arxiv:2301.12597.
Armen Aghajanyan, Lili Yu, Alexis Conneau, Wei-Ning Hsu, Karen Hambardzumyan, Susan Zhang, Stephen Roller, Naman Goyal, Omer Levy, Luke Zettlemoyer: Scaling Laws for Generative Mixed-Modal Language Models. 10. Januar 2023, doi:10.48550/ARXIV.2301.03728.
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot, Ross Anderson, Yarin Gal: AI models collapse when trained on recursively generated data. In: Nature. Band631, Nr.8022, 25. Juli 2024, ISSN0028-0836, S.755–759, doi:10.1038/s41586-024-07566-y, PMID 39048682, PMC 11269175 (freier Volltext) – (nature.com [abgerufen am 27. Juli 2024]).
Guandong Feng, Guoliang Zhu, Shengze Shi, Yue Sun, Zhongyi Fan, Sulin Gao, and Jun Hu: Robust NL-to-Cypher Translation for KBQA: Harnessing Large Language Model with Chain of Prompts. In: Haofen Wang, Xianpei Han, Ming Liu, Gong Cheng, Yongbin Liu, Ningyu Zhang: Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence. 8th China Conference, CCKS 2023, Shenyang, China, August 24–27, 2023, Revised Selected Papers Springer, 2023, ISBN 978-981-9972-23-4, S. 317 ff. (hier S. 319) ("LLMs can perform various natural language tasks, such as understanding, summarizing, translating, predicting, and creating texts, by taking an input text and repeatedly predicting the next token or word"); vgl. Eight Things to Know about Large Language Models.
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot, Ross Anderson, Yarin Gal: AI models collapse when trained on recursively generated data. In: Nature. Band631, Nr.8022, 25. Juli 2024, ISSN0028-0836, S.755–759, doi:10.1038/s41586-024-07566-y, PMID 39048682, PMC 11269175 (freier Volltext) – (nature.com [abgerufen am 27. Juli 2024]).
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot, Ross Anderson, Yarin Gal: AI models collapse when trained on recursively generated data. In: Nature. Band631, Nr.8022, 25. Juli 2024, ISSN0028-0836, S.755–759, doi:10.1038/s41586-024-07566-y, PMID 39048682, PMC 11269175 (freier Volltext) – (nature.com [abgerufen am 27. Juli 2024]).
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot, Ross Anderson, Yarin Gal: AI models collapse when trained on recursively generated data. In: Nature. Band631, Nr.8022, 25. Juli 2024, ISSN0028-0836, S.755–759, doi:10.1038/s41586-024-07566-y, PMID 39048682, PMC 11269175 (freier Volltext) – (nature.com [abgerufen am 27. Juli 2024]).
