WorldValuesBench: A Large-Scale Benchmark Dataset for Multi-Cultural Value Awareness of Language Models

Red teaming language models to reduce harms: Methods, scaling behaviors, and lessons learned

Original

Deep Ganguli, Liane Lovitt, Jackson Kernion, Amanda Askell, Yuntao Bai, Saurav Kadavath, Ben Mann, Ethan Perez, Nicholas Schiefer, Kamal Ndousse, et al. 2022 · 2022

Earlier work this paper cites.

Demographic-aware language model fine-tuning as a bias mitigation technique

Aparna Garimella, Rada Mihalcea, and Akhash Amarnath. 2022 · 2022

Earlier work this paper cites.

World values survey wave 7 (2017-2022) cross-national data-set, version 4.0.0

C. Haerpfer, R. Inglehart, A. Moreno, C. Welzel, K. Kizilova, J. Diez-Medrano, M. Lagos, P. Norris, E. Ponarin, and Puranen B. 2022 · 2022

Earlier work this paper cites.

World values survey: All rounds - country-pooled datafile, version 3.0.0

R. Inglehart, C. Haerpfer, A. Moreno, C. Welzel, J. Diez-Medrano K. Kizilova, M. Lagos, P. Norris, E. Ponarin, and B. Puranen. 2022 · 2022

Earlier work this paper cites.

The ghost in the machine has an american accent: value conflict in gpt-3

Original

Rebecca L Johnson, Giada Pistilli, Natalia Menédez-González, Leslye Denisse Dias Duran, Enrico Panai, Julija Kalpokiene, and Donald Jay Bertulfo. 2022 · 2022

Earlier work this paper cites.

A cross-national multilevel analysis of fear of crime: Exploring the roles of institutional confidence and institutional performance

Kai Lin. 2022 · 2022

Earlier work this paper cites.

Aligning generative language models with human values

Ruibo Liu, Ge Zhang, Xinyu Feng, and Soroush Vosoughi. 2022 · 2022

Cited alongside, same era.

When large language models meet personalization: Perspectives of challenges and opportunities

Original

Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, et al. 2023 · 2023

Cited alongside, same era.

Towards measuring the representation of subjective global opinions in language models

Original

Esin Durmus, Karina Nyugen, Thomas Liao, Nicholas Schiefer, Amanda Askell, Anton Bakhtin, Carol Chen, Zac Hatfield-Dodds, Danny Hernandez, Nicholas Joseph, Liane Lovitt, Sam McCandlish, Orowa Sikder, Alex Tamkin, Janel Thamkul, Jared Kaplan, Jack Clark, and Deep Ganguli. 2023 · 2023

Cited alongside, same era.

Prioritizing the environment or economic growth: insights from the world values survey

Nuria López de Calle Bastida. 2023 · 2023

Cited alongside, same era.

Whose opinions do language models reflect?

Fine-grained human feedback gives better rewards for language model training

Original

Zeqiu Wu, Yushi Hu, Weijia Shi, Nouha Dziri, Alane Suhr, Prithviraj Ammanabrolu, Noah A. Smith, Mari Ostendorf, and Hanna Hajishirzi. 2023 · 2023

Later among the works it cites.

Constructive large language models alignment with diverse feedback

Tianshu Yu, Ting-En Lin, Yuchuan Wu, Min Yang, Fei Huang, and Yongbin Li. 2023 · 2023

Later among the works it cites.

Judging llm-as-a-judge with mt-bench and chatbot arena

Original

Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric P. Xing, Haotong Zhang, Joseph Gonzalez, and Ion Stoica. 2023 · 2023

Later among the works it cites.

Mixtral of experts

Original

Albert Q. Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de Las Casas, Emma Bou Hanna, Florian Bressand, Gianna Lengyel, Guillaume Bour, Guillaume Lample, L’elio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Sandeep Subramanian, Sophia Yang, Szymon Antoniak, Teven Le Scao, Théophile Gervet, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed. 2024 · 2024