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This paper delves into the dynamic landscape of artificial intelligence, specifically focusing on the burgeoning prominence of large language models (LLMs).
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The Authenticity Gap in Human Evaluation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing , Yoav Goldberg, Zornitsa Kozareva, and Yue Zhang (Eds.). Association for Computational Linguistics, Abu Dhabi, United Arab Emirates, 6056–6070
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A Review on Artificial Intelligence with Deep Human Reasoning. In 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC) . 81–84
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Intricacies of Agency: Rational Choice, Behavioral Economics, and Our Normative Commitments
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ChatGPT’s inconsistent moral advice influences users’ judgment
Sebastian Krügel, Andreas Ostermaier, and Matthias Uhl. 2023 · 2023
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The History and Risks of Reinforcement Learning and Human Feedback
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(Ir) rationality in AI: State of the Art, Research Challenges and Open Questions
Olivia Macmillan-Scott and Mirco Musolesi. 2023 · 2023
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Using cognitive psychology to understand GPT-3
Marcel Binz and Eric Schulz. 2023 · 2023
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Understanding the relationship between rationality and intelligence: a latent-variable approach
Alexander P Burgoyne, Cody A Mashburn, Jason S Tsukahara, David Z Hambrick, and Randall W Engle. 2023 · 2023
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Open problems and fundamental limitations of reinforcement learning from human feedback
Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro Freire, et al · 2023
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Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects
Muhammad Usman Hadi, Rizwan Qureshi, Abbas Shah, Muhammad Irfan, Anas Zafar, Muhammad Bilal Shaikh, Naveed Akhtar, Jia Wu, Seyedali Mirjalili, et al · 2023
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Humza Naveed, Asad Ullah Khan, Shi Qiu, Muhammad Saqib, Saeed Anwar, Muhammad Usman, Nick Barnes, and Ajmal Mian. 2023 · 2023
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Aligning large language models with human: A survey
Yufei Wang, Wanjun Zhong, Liangyou Li, Fei Mi, Xingshan Zeng, Wenyong Huang, Lifeng Shang, Xin Jiang, and Qun Liu. 2023 · 2023
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