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Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer: Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? 20. August 2022, doi:10.48550/arXiv.2202.12837, arxiv:2202.12837v2 (englisch).
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Fangru Lin, Emanuele La Malfa, Valentin Hofmann, Elle Michelle Yang, Anthony Cohn, Janet B. Pierrehumbert: Graph-enhanced Large Language Models in Asynchronous Plan Reasoning. 3. Juni 2024, doi:10.48550/arXiv.2402.02805, arxiv:2402.02805 (englisch).
Yi Liu, Gelei Deng, Yuekang Li, Kailong Wang, Tianwei Zhang, Yepang Liu, Haoyu Wang, Yan Zheng, Yang Liu: Prompt Injection attack against LLM-integrated Applications. 2023, doi:10.48550/ARXIV.2306.05499, arxiv:2306.05499v1.
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Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothee Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, Guillaume Lample: LLaMA: Open and Efficient Foundation Language Models. Meta AI, 27. Februar 2023, doi:10.48550/arXiv.2302.13971, arxiv:2302.13971v1.
Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, Dario Amodei: Scaling Laws for Neural Language Models. 23. Januar 2022, doi:10.48550/arXiv.2001.08361, arxiv:2001.08361v1 (englisch).
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, Dario Amodei: Language Models are Few-Shot Learners. 23. Januar 2022, doi:10.48550/arXiv.2005.14165, arxiv:2005.14165v4 (englisch).
Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer: Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? 20. August 2022, doi:10.48550/arXiv.2202.12837, arxiv:2202.12837v2 (englisch).
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, Denny Zhou: Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. 10. Januar 2023, doi:10.48550/arXiv.2201.11903, arxiv:2201.11903v6 (englisch).
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L. Griffiths, Yuan Cao, Karthik Narasimhan: Tree of Thoughts: Deliberate Problem Solving with Large Language Models. 3. Dezember 2023, doi:10.48550/arXiv.2305.10601, arxiv:2305.10601v2 (englisch).
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, Denny Zhou: Self-Consistency Improves Chain of Thought Reasoning in Language Models. 7. März 2003, doi:10.48550/arXiv.2203.11171, arxiv:2203.11171v4 (englisch).
Noah Shinn, Federico Cassano, Edward Berman, Ashwin Gopinath, Karthik Narasimhan, Shunyu Yao: Reflexion: Language Agents with Verbal Reinforcement Learning. 10. August 2023, doi:10.48550/arXiv.2303.11366, arxiv:2303.11366v4 (englisch).
Fangru Lin, Emanuele La Malfa, Valentin Hofmann, Elle Michelle Yang, Anthony Cohn, Janet B. Pierrehumbert: Graph-enhanced Large Language Models in Asynchronous Plan Reasoning. 3. Juni 2024, doi:10.48550/arXiv.2402.02805, arxiv:2402.02805 (englisch).
Yi Liu, Gelei Deng, Yuekang Li, Kailong Wang, Tianwei Zhang, Yepang Liu, Haoyu Wang, Yan Zheng, Yang Liu: Prompt Injection attack against LLM-integrated Applications. 2023, doi:10.48550/ARXIV.2306.05499, arxiv:2306.05499v1.
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, Ross Girshick: Segment Anything. 1. April 2023, doi:10.48550/arXiv.2304.02643, arxiv:2304.02643v1 (englisch).