Fetching the paper…
Reading the bibliography…
The deployment of large language models (LLMs) raises concerns regarding their cultural misalignment and potential ramifications on individuals and societies with diverse cultural backgrounds.
A new measure of rank correlation
Maurice G Kendall · 1938
Earlier work this paper cites.
The treatment of ties in ranking problems
Maurice G Kendall · 1945
Earlier work this paper cites.
The Nature of Human Values
Helen Gouldner · 1975
Earlier work this paper cites.
A learning algorithm for boltzmann machines
David H Ackley, Geoffrey E Hinton, and Terrence J Sejnowski · 1985
Earlier work this paper cites.
Chinese values and the search for culture-free dimensions of culture
Kuoshu Yang · 1987
Earlier work this paper cites.
Cultural alignment in response to strategic organizational change: New considerations for a change framework
Robert H Bennett III, Paul A Fadil, and Robin T Greenwood · 1994
Earlier work this paper cites.
The chinese value survey: An interpretation of value scales and consideration of some preliminary results
Barbara Marshall Matthews · 2000
Earlier work this paper cites.
Human beliefs and values: A cross-cultural sourcebook based on the 1999-2002 value surveys
R. Inglehart, M. Basáñez, J. Díez-Medrano, L.C.J.M. Halman, and R. Luijkx (eds.) · 2004
Earlier work this paper cites.
Hofstede-culturally questionable?
Michael L Jones · 2007
Earlier work this paper cites.
Interpreting globe societal practices scales
Robert R McCrae, Antonio Terracciano, Anu Realo, and Jüri Allik · 2008
Earlier work this paper cites.
Cultures and Organizations: Software of the Mind, Third Edition
G.J. Hofstede and M. Minkov · 2010
Earlier work this paper cites.
Evs - european values study 1981 - integrated dataset
EVS · 2011
Earlier work this paper cites.
Should i use globe or hofstede? some insights that can assist cross-cultural scholars, and others, choose the right study to support their work
Robin Hadwick · 2011
Earlier work this paper cites.
Dimensionalizing cultures: The hofstede model in context
Geert Hofstede · 2011
Earlier work this paper cites.
Why not everybody loves hofstede? what are the alternative approaches to study of culture
Hafiz Muhammad Abdullah Shaiq, Hafiz Muhammad Sufyan Khalid, Aisha Akram, and Bakhtiar Ali · 2011
Earlier work this paper cites.
Measuring hofstede’s five dimensions of cultural values at the individual level: Development and validation of cvscale
Boonghee Yoo, Naveen Donthu, and Tomasz Lenartowicz · 2011
Earlier work this paper cites.
An overview of the schwartz theory of basic values
Shalom Schwartz · 2012
Earlier work this paper cites.
URL https://geerthofstede.com/research-and-vsm/vsm-2013/
Geert Hofstede and Michael Minkov, May 2019 · 2013
Earlier work this paper cites.
Strategic leadership across cultures: GLOBE study of CEO leadership behavior and effectiveness in 24 countries
Robert J House, Peter W Dorfman, Mansour Javidan, Paul J Hanges, and Mary F Sully De Luque · 2013
Cited alongside, same era.
Dimensions and dynamics of national culture: Synthesizing hofstede with inglehart
Sjoerd Beugelsdijk and Chris Welzel · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
Cited alongside, same era.
Word embeddings quantify 100 years of gender and ethnic stereotypes
Nikhil Garg, Londa Schiebinger, Dan Jurafsky, and James Zou · 2018
Cited alongside, same era.
Reclaiming the heterogeneity of the arab states
Shihanah Almutairi, Michael Heller, and Dorothy Yen · 2019
Cited alongside, same era.
Red teaming language models to reduce harms: Methods, scaling behaviors, and lessons learned
Deep Ganguli, Liane Lovitt, Jackson Kernion, Amanda Askell, Yuntao Bai, Saurav Kadavath, Ben Mann, Ethan Perez, Nicholas Schiefer, Kamal Ndousse, et al · 2022
Later among the works it cites.
URL https://geerthofstede.com/research-and-vsm/dimension-data-matrix/
G Hofstede and GJ Hofstede, May 2022 · 2022
Later among the works it cites.
Red teaming language models with language models
Ethan Perez, Saffron Huang, Francis Song, Trevor Cai, Roman Ring, John Aslanides, Amelia Glaese, Nat McAleese, and Geoffrey Irving · 2022
Later among the works it cites.
Cultural incongruencies in artificial intelligence
Vinodkumar Prabhakaran, Rida Qadri, and Ben Hutchinson · 2022
Later among the works it cites.
Automatic evaluation of attribution by large language models
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi · 2019
Cited alongside, same era.
Cross-lingual language model pretraining
Guillaume Lample and Alexis Conneau · 2019
Cited alongside, same era.
Gender stereotypes are reflected in the distributional structure of 25 languages, Mar 2019
Molly Lewis and Gary Lupyan · 2019
Cited alongside, same era.
Social IQa: Commonsense reasoning about social interactions
Maarten Sap, Hannah Rashkin, Derek Chen, Ronan Le Bras, and Yejin Choi · 2019
Cited alongside, same era.
Reclaiming the heterogeneity of the arab states, Jan 2021
Shihanah Almutairi, Michael Heller, and Dorothy Yen · 2020
Cited alongside, same era.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
Cited alongside, same era.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu · 2020
Cited alongside, same era.
Xiang Yue, Boshi Wang, Kai Zhang, Ziru Chen, Yu Su, and Huan Sun · 2022
Later among the works it cites.
Rohan Anil, Andrew M Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, et al · 2023
Closest in time.
Assessing cross-cultural alignment between chatgpt and human societies: An empirical study
Yong Cao, Li Zhou, Seolhwa Lee, Laura Cabello, Min Chen, and Daniel Hershcovich · 2023
Closest in time.
Towards measuring the representation of subjective global opinions in language models
Esin Durmus, Karina Nyugen, Thomas I Liao, Nicholas Schiefer, Amanda Askell, Anton Bakhtin, Carol Chen, Zac Hatfield-Dodds, Danny Hernandez, Nicholas Joseph, et al · 2023
Closest in time.
Google’s newest a.i. model uses nearly five times more text data for training than its predecessor, May 2023
Jennifer Elias · 2023
Closest in time.
From pretraining data to language models to downstream tasks: Tracking the trails of political biases leading to unfair NLP models
Shangbin Feng, Chan Young Park, Yuhan Liu, and Yulia Tsvetkov · 2023
Closest in time.
In conversation with artificial intelligence: aligning language models with human values
Atoosa Kasirzadeh and Iason Gabriel · 2023
Closest in time.
Evaluating verifiability in generative search engines
Nelson F Liu, Tianyi Zhang, and Percy Liang · 2023
Closest in time.
OpenAI · 2023
Closest in time.
Xstest: A test suite for identifying exaggerated safety behaviours in large language models
Paul Röttger, Hannah Rose Kirk, Bertie Vidgen, Giuseppe Attanasio, Federico Bianchi, and Dirk Hovy · 2023
Closest in time.
Personality traits in large language models
Mustafa Safdari, Greg Serapio-García, Clément Crepy, Stephen Fitz, Peter Romero, Luning Sun, Marwa Abdulhai, Aleksandra Faust, and Maja Matarić · 2023
Closest in time.
Whose opinions do language models reflect?
Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, and Tatsunori Hashimoto · 2023
Closest in time.
Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
Closest in time.
Jailbroken: How does llm safety training fail?
Alexander Wei, Nika Haghtalab, and Jacob Steinhardt · 2023
Closest in time.