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Large Language Models (LLMs) attempt to imitate human behavior by responding to humans in a way that pleases them, including by adhering to their values.
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks and Thomas Dietterich. 2019 · 1903
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Toward a General Theory of Action
Talcott Parsons and Edward A. Shils. 1951 · 1951
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National Character: The Study of Modal Personality and Sociocultural Systems
Alex Inkeles and Daniel J. Levinson. 1969 · 1954
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Variations in Value Orientations
Florence Rockwood Kluckhohn and Fred L. Strodtbeck. 1961 · 1961
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Dimensions of Political Systems: Factor Analysis of a Cross-Polity Survey
Phillip M. Gregg and Arthur S. Banks. 1965 · 1965
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Society, Politics and Economic Development: A Quantitative Approach
Irma Adelman and Cynthia Taft Morris. 1967 · 1967
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Natural Symbols: Explorations in Cosmology
Mary Douglas. 1973 · 1973
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National Differences in Extraversion and Neuroticism
Richard Lynn and Sarah L. Hampson. 1975 · 1975
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Culture’s Consequences: International Differences in Work-Related Values
Geert Hofstede. 1980 · 1980
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The Confucius Connection: From Cultural Roots to Economic Growth
Geert Hofstede and Michael H. Bond. 1988 · 1988
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NLTK: The Natural Language Toolkit. In Proceedings of the ACL-02 Workshop on Effective Tools and Methodologies for Teaching Natural Language Processing and Computational Linguistics . Association for Computational Linguistics, Philadelphia, Pennsylvania, USA, 63–70
Edward Loper and Steven Bird. 2002 · 2002
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Language Models are Few-Shot Learners
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, and Dario Amodei. 2020 · 2005
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Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela. 2021 · 2005
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What Makes Us Different and Similar: A New Interpretation of the World Values Survey and Other Cross-Cultural Data
Michael Minkov. 2007 · 2007
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Culture’s Consequences: Comparing Values, Behaviors, Institutions and Organizations across Nations
Geert Hofstede. 2001 · 2008
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The GLOBE Debate: Back to Relevance
Geert Hofstede. 2010 · 2010
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Cultures and Organizations: Software of the Mind (rev. 3rd ed.)
Geert Hofstede, Gert Jan Hofstede, and Michael Minkov. 2010 · 2010
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Dimensionalizing Cultures: The Hofstede Model in Context
Geert Hofstede. 2011 · 2011
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Aligning Superintelligence with Human Interests: A Technical Research Agenda. In Machine Intelligence Resaerch Institute
Nate Soares and Benja Fallenstein. 2015 · 2015
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Safety First: Conversational Agents for Health Care. In Studies in Conversational UX Design
Timothy W. Bickmore, Ha Trinh, Reza Asadi, and Stefán Ólafsson. 2018 · 2018
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Scalable agent alignment via reward modeling: a research direction
Jan Leike, David Krueger, Tom Everitt, Miljan Martic, Vishal Maini, and Shane Legg. 2018 · 2018
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SacreBLEU: A Standardized BLEU Score
Matt Post. 2018 · 2018
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Conversation to Automation in Banking Through Chatbot Using Artificial Machine Intelligence Language
Sasha Fathima, Suhel Student, Vinod Shukla, Dr Sonali Vyas, and Ved P Mishra. 2020 · 2020
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Simon Zhuang and Dylan Hadfield-Menell. 2021 · 2020
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A General Language Assistant as a Laboratory for Alignment
Amanda Askell, Yuntao Bai, Anna Chen, Dawn Drain, Deep Ganguli, Tom Henighan, Andy Jones, Nicholas Joseph, Ben Mann, Nova DasSarma, Nelson Elhage, Zac Hatfield-Dodds, Danny Hernandez, Jackson Kernion, Kamal Ndousse, Catherine Olsson, Dario Amodei, Tom Brown, Jack Clark, Sam McCandlish, Chris Olah, and Jared Kaplan. 2021 · 2021
Cited alongside, same era.
A Test of the Revised Minkov-Hofstede Model of Culture: Mirror Images of Subjective and Objective Culture across Nations and the 50 US States
Michael Minkov and Anu Kaasa. 2021 · 2021
Cited alongside, same era.
The Ghost in the Machine has an American accent: value conflict in GPT-3
Rebecca L Johnson, Giada Pistilli, Natalia Menédez-González, Leslye Denisse Dias Duran, Enrico Panai, Julija Kalpokiene, and Donald Jay Bertulfo. 2022 · 2022
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Introducing Command R+: A Scalable LLM Built for Business
Cohere. 2024 · 2024
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GLOBE CEO STUDY 2014
GLOBE Project. n.d. · 2024
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The Culture Factor
Hofstede Insights. 2024 · 2024
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AI Alignment: A Comprehensive Survey
Jiaming Ji, Tianyi Qiu, Boyuan Chen, Borong Zhang, Hantao Lou, Kaile Wang, Yawen Duan, Zhonghao He, Jiayi Zhou, Zhaowei Zhang, Fanzhi Zeng, Kwan Yee Ng, Juntao Dai, Xuehai Pan, Aidan O’Gara, Yingshan Lei, Hua Xu, Brian Tse, Jie Fu, Stephen McAleer, Yaodong Yang, Yizhou Wang, Song-Chun Zhu, Yike Guo, and Wen Gao. 2024 · 2024
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Are You Sure? Challenging LLMs Leads to Performance Drops in The FlipFlop Experiment
Philippe Laban, Lidiya Murakhovs’ka, Caiming Xiong, and Chien-Sheng Wu. 2024 · 2024
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Do dimensions of culture exist objectively? A validation of the revised Minkov-Hofstede model of culture with World Values Survey items and scores for 102 countries
Michael Minkov and Anneli Kaasa. 2022 · 2022
Cited alongside, same era.
Investigations of Performance and Bias in Human-AI Teamwork in Hiring
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, and Ece Kamar. 2022 · 2022
Cited alongside, same era.
Discovering Language Model Behaviors with Model-Written Evaluations
Ethan Perez, Sam Ringer, Kamilė Lukošiūtė, Karina Nguyen, Edwin Chen, Scott Heiner, Craig Pettit, Catherine Olsson, Sandipan Kundu, Saurav Kadavath, Andy Jones, Anna Chen, Ben Mann, Brian Israel, Bryan Seethor, Cameron McKinnon, Christopher Olah, Da Yan, Daniela Amodei, Dario Amodei, Dawn Drain, Dustin Li, Eli Tran-Johnson, Guro Khundadze, Jackson Kernion, James Landis, Jamie Kerr, Jared Mueller, Jeeyoon Hyun, Joshua Landau, Kamal Ndousse, Landon Goldberg, Liane Lovitt, Martin Lucas, Michael Sellitto, Miranda Zhang, Neerav Kingsland, Nelson Elhage, Nicholas Joseph, Noemí Mercado, Nova DasSarma, Oliver Rausch, Robin Larson, Sam McCandlish, Scott Johnston, Shauna Kravec, Sheer El Showk, Tamera Lanham, Timothy Telleen-Lawton, Tom Brown, Tom Henighan, Tristan Hume, Yuntao Bai, Zac Hatfield-Dodds, Jack Clark, Samuel R. Bowman, Amanda Askell, Roger Grosse, Danny Hernandez, Deep Ganguli, Evan Hubinger, Nicholas Schiefer, and Jared Kaplan. 2022 · 2022
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Cultural Incongruencies in Artificial Intelligence
Vinodkumar Prabhakaran, Rida Qadri, and Ben Hutchinson. 2022 · 2022
Cited alongside, same era.
Defining and Characterizing Reward Hacking
Joar Skalse, Nikolaus H. R. Howe, Dmitrii Krasheninnikov, and David Krueger. 2022 · 2022
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No Language Left Behind: Scaling Human-Centered Machine Translation
NLLB Team, Marta R. Costa-jussà, James Cross, Onur Çelebi, Maha Elbayad, Kenneth Heafield, Kevin Heffernan, Elahe Kalbassi, Janice Lam, Daniel Licht, Jean Maillard, Anna Sun, Skyler Wang, Guillaume Wenzek, Al Youngblood, Bapi Akula, Loic Barrault, Gabriel Mejia Gonzalez, Prangthip Hansanti, John Hoffman, Semarley Jarrett, Kaushik Ram Sadagopan, Dirk Rowe, Shannon Spruit, Chau Tran, Pierre Andrews, Necip Fazil Ayan, Shruti Bhosale, Sergey Edunov, Angela Fan, Cynthia Gao, Vedanuj Goswami, Francisco Guzmán, Philipp Koehn, Alexandre Mourachko, Christophe Ropers, Safiyyah Saleem, Holger Schwenk, and Jeff Wang. 2022 · 2022
Cited alongside, same era.
On the Role of Negative Precedent in Legal Outcome Prediction
Josef Valvoda, Ryan Cotterell, and Simone Teufel. 2022 · 2022
Cited alongside, same era.
Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, Wenliang Dai, Dan Su, Bryan Wilie, Holy Lovenia, Ziwei Ji, Tiezheng Yu, Willy Chung, Quyet V. Do, Yan Xu, and Pascale Fung. 2023 · 2023
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Jan Leike and Ilya Sutskever. 2023 · 2024
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CultureLLM: Incorporating Cultural Differences into Large Language Models
Cheng Li, Mengzhou Chen, Jindong Wang, Sunayana Sitaram, and Xing Xie. 2024 · 2024
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Introducing Meta Llama 3: The most capable openly available LLM to date
LLaMA 3 2024 · 2024
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Reem I. Masoud, Ziquan Liu, Martin Ferianc, Philip Treleaven, and Miguel Rodrigues. 2024 · 2024
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GPT-4 Technical Report
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The Real-World Harms of LLMs, Part 1: When LLMs Don’t Work as Expected
Stephen Ostermeier. 2023 · 2024
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Most Used Languages Online by Share of Websites 2024
Artyom Petrosyan. 2024 · 2024
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Personal Space and American Individualism
Ava Rosenbaum, Amanda Higgins, Nicole Kim, and Justin Meszler. 2018 · 2024
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Japanese Culture - Core Concepts
Caitlin Scroope. 2021 · 2024
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A Roadmap to Pluralistic Alignment
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Jacob Steinhardt. 2023 · 2024
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Exploring and steering the moral compass of Large Language Models
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Robert Vacareanu, Vlad-Andrei Negru, Vasile Suciu, and Mihai Surdeanu. 2024 · 2024
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