Fetching the paper…
Reading the bibliography…
The success of Large Language Models (LLMs) in multicultural environments hinges on their ability to understand users' diverse cultural backgrounds.
Half a century of measuring culture: Review of approaches, challenges, and limitations based on the analysis of 121 instruments for quantifying culture
Vas Taras, Julie Rowney, and Piers Steel · 2009
Earlier work this paper cites.
Experimental vignette studies in survey research
Christiane Atzmüller and Peter M Steiner · 2010
Earlier work this paper cites.
What low response rates mean for telephone surveys
Scott Keeter, Nick Hatley, Courtney Kennedy, and Arnold Lau · 2017
Earlier work this paper cites.
An evaluation of the 2016 election polls in the united states
Courtney Kennedy, Mark Blumenthal, Scott Clement, Joshua D Clinton, Claire Durand, Charles Franklin, Kyley McGeeney, Lee Miringoff, Kristen Olson, Douglas Rivers, et al · 2018
Earlier work this paper cites.
Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov · 2019
Earlier work this paper cites.
Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever · 2019
Earlier work this paper cites.
The effects of populism as a social identity frame on persuasion and mobilisation: Evidence from a 15-country experiment
Linda Bos, Christian Schemer, Nicoleta Corbu, Michael Hameleers, Ioannis Andreadis, Anne Schulz, Desirée Schmuck, Carsten Reinemann, and Nayla Fawzi · 2020
Earlier work this paper cites.
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
Earlier work this paper cites.
Wiki-40b: Multilingual language model dataset
Mandy Guo, Zihang Dai, Denny Vrandečić, and Rami Al-Rfou · 2020
Earlier work this paper cites.
The importance of modeling social factors of language: Theory and practice
Dirk Hovy and Diyi Yang · 2021
Earlier work this paper cites.
A large-scale evaluation of neural machine transliteration for Indic languages
Anoop Kunchukuttan, Siddharth Jain, and Rahul Kejriwal · 2021
Earlier work this paper cites.
Saga: Collaborative storytelling with gpt-3
Hanieh Shakeri, Carman Neustaedter, and Steve DiPaola · 2021
Earlier work this paper cites.
An evaluation of generative pre-training model-based therapy chatbot for caregivers
Lu Wang, Munif Ishad Mujib, Jake Williams, George Demiris, and Jina Huh-Yoo · 2021
Earlier work this paper cites.
Systematic inequalities in language technology performance across the world’s languages
Damián Blasi, Antonios Anastasopoulos, and Graham Neubig · 2022
Earlier work this paper cites.
Challenges and strategies in cross-cultural nlp
Daniel Hershcovich, Stella Frank, Heather Lent, Miryam de Lhoneux, Mostafa Abdou, Stephanie Brandl, Emanuele Bugliarello, Laura Cabello Piqueras, Ilias Chalkidis, Ruixiang Cui, et al · 2022
Earlier work this paper cites.
Who is gpt-3? an exploration of personality, values and demographics
Marilù Miotto, Nicola Rossberg, and Bennett Kleinberg · 2022
Earlier work this paper cites.
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul F Christiano, Jan Leike, and Ryan Lowe · 2022
Earlier work this paper cites.
You reap what you sow: On the challenges of bias evaluation under multilingual settings
Zeerak Talat, Aurélie Névéol, Stella Biderman, Miruna Clinciu, Manan Dey, Shayne Longpre, Sasha Luccioni, Maraim Masoud, Margaret Mitchell, Dragomir Radev, et al · 2022
Earlier work this paper cites.
Moral foundations of large language models
Marwa Abdulhai, Gregory Serapio-Garcia, Clément Crepy, Daria Valter, John Canny, and Natasha Jaques · 2023
Earlier work this paper cites.
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
Earlier work this paper cites.
Using large language models to simulate multiple humans and replicate human subject studies
Gati V Aher, Rosa I Arriaga, and Adam Tauman Kalai · 2023
Earlier work this paper cites.
Do all languages cost the same? tokenization in the era of commercial language models
Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R Mortensen, Noah A Smith, and Yulia Tsvetkov · 2023
Earlier work this paper cites.
Exploring the psychology of gpt-4’s moral and legal reasoning
Guilherme FCF Almeida, José Luiz Nunes, Neele Engelmann, Alex Wiegmann, and Marcelo de Araújo · 2023
Cited alongside, same era.
Out of one, many: Using language models to simulate human samples
Lisa P Argyle, Ethan C Busby, Nancy Fulda, Joshua R Gubler, Christopher Rytting, and David Wingate · 2023
Cited alongside, same era.
Probing pre-trained language models for cross-cultural differences in values
Arnav Arora, Lucie-Aimée Kaffee, and Isabelle Augenstein · 2023
Cited alongside, same era.
When large language models meet personalization: Perspectives of challenges and opportunities
Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, et al · 2023
Cited alongside, same era.
Language models trained on media diets can predict public opinion
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
Later among the works it cites.
Whose opinions do language models reflect?
Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, and Tatsunori Hashimoto · 2023
Later among the works it cites.
Role play with large language models
Murray Shanahan, Kyle McDonell, and Laria Reynolds · 2023
Later among the works it cites.
Quantifying gender bias towards politicians in cross-lingual language models
Karolina Stańczak, Sagnik Ray Choudhury, Tiago Pimentel, Ryan Cotterell, and Isabelle Augenstein · 2023
Later among the works it cites.
User modeling in the era of large language models: Current research and future directions
Zhaoxuan Tan and Meng Jiang · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Eric Chu, Jacob Andreas, Stephen Ansolabehere, and Deb Roy · 2023
Cited alongside, same era.
The paradox of multilingual emotion detection
Luna De Bruyne · 2023
Cited alongside, same era.
Can ai language models replace human participants?
Danica Dillion, Niket Tandon, Yuling Gu, and Kurt Gray · 2023
Cited alongside, same era.
Questioning the survey responses of large language models
Ricardo Dominguez-Olmedo, Moritz Hardt, and Celestine Mendler-Dünner · 2023
Cited alongside, same era.
Towards measuring the representation of subjective global opinions in language models
Esin Durmus, Karina Nguyen, Thomas I Liao, Nicholas Schiefer, Amanda Askell, Anton Bakhtin, Carol Chen, Zac Hatfield-Dodds, Danny Hernandez, Nicholas Joseph, et al · 2023
Cited alongside, same era.
Large language models & influence
Lewis D. Griffin · 2023
Cited alongside, same era.
Large language models respond to influence like humans
Lewis D. Griffin, Bennett Kleinberg, Maximilian Mozes, Kimberly Mai, Maria Do Mar Vau, Matthew Caldwell, and Augustine Mavor-Parker · 2023
Cited alongside, same era.
Thilo Hagendorff · 2023
Cited alongside, same era.
Gemini: a family of highly capable multimodal models
Gemini Team, Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M Dai, Anja Hauth, et al · 2023
Later among the works it cites.
Simulating social media using large language models to evaluate alternative news feed algorithms
Petter Törnberg, Diliara Valeeva, Justus Uitermark, and Christopher Bail · 2023
Later among the works it cites.
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
Later among the works it cites.
Patrick Y Wu, Joshua A Tucker, Jonathan Nagler, and Solomon Messing · 2023
Later among the works it cites.
Empowering llm-based machine translation with cultural awareness
Binwei Yao, Ming Jiang, Diyi Yang, and Junjie Hu · 2023
Later among the works it cites.
Don’t trust ChatGPT when your question is not in English: A study of multilingual abilities and types of LLMs
Xiang Zhang, Senyu Li, Bradley Hauer, Ning Shi, and Grzegorz Kondrak · 2023
Later among the works it cites.
Patrick Barreiß, Roman Klinger, and Jeremy Barnes · 2024
Closest in time.
Evaluating the persuasive influence of political microtargeting with large language models
Kobi Hackenburg and Helen Margetts · 2024
Closest in time.
Dialect prejudice predicts ai decisions about people’s character, employability, and criminality
Valentin Hofmann, Pratyusha Ria Kalluri, Dan Jurafsky, and Sharese King · 2024
Closest in time.
The potential of generative ai for personalized persuasion at scale
SC Matz, JD Teeny, Sumer S Vaid, H Peters, GM Harari, and M Cerf · 2024
Closest in time.
Global-liar: Factuality of llms over time and geographic regions
Shujaat Mirza, Bruno Coelho, Yuyuan Cui, Christina Pöpper, and Damon McCoy · 2024
Closest in time.
A comparative study of cross-lingual sentiment analysis
Pavel Přibáň, Jakub Šmíd, Josef Steinberger, and Adam Mištera · 2024
Closest in time.
Multi-fact: Assessing multilingual llms’ multi-regional knowledge using factscore
Sheikh Shafayat, Eunsu Kim, Juhyun Oh, and Alice Oh · 2024
Closest in time.
Aya dataset: An open-access collection for multilingual instruction tuning
Shivalika Singh, Freddie Vargus, Daniel Dsouza, Börje F Karlsson, Abinaya Mahendiran, Wei-Yin Ko, Herumb Shandilya, Jay Patel, Deividas Mataciunas, Laura OMahony, et al · 2024
Closest in time.
Seungjong Sun, Eungu Lee, Dongyan Nan, Xiangying Zhao, Wonbyung Lee, Bernard J Jansen, and Jang Hyun Kim · 2024
Closest in time.
Democratizing large language models via personalized parameter-efficient fine-tuning
Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, and Meng Jiang · 2024
Closest in time.
Gender bias in large language models across multiple languages
Jinman Zhao, Yitian Ding, Chen Jia, Yining Wang, and Zifan Qian · 2024
Closest in time.