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Uncovering latent values and opinions embedded in large language models (LLMs) can help identify biases and mitigate potential harm.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Tropes, Parables, and Performatives: Essays on Twentieth-Century Literature
J. Hillis Miller. 1991 · 1991
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A density-based algorithm for discovering clusters in large spatial databases with noise
Martin Ester, Hans-Peter Kriegel, Jorg Sander, Xiaowei Xu, et al. 1996 · 1996
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Sentence-BERT: Sentence embeddings using Siamese BERT-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
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Analyzing gender bias within narrative tropes
Dhruvil Gala, Mohammad Omar Khursheed, Hannah Lerner, Brendan O’Connor, and Mohit Iyyer. 2020 · 2020
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Studying political bias via word embeddings
Joshua Gordon, Marzieh Babaeianjelodar, and Jeanna Matthews. 2020 · 2020
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CommunityLM: Probing partisan worldviews from language models
Hang Jiang, Doug Beeferman, Brandon Roy, and Deb Roy. 2022 · 2022
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Who is GPT-3? an exploration of personality, values and demographics
Marilù Miotto, Nicola Rossberg, and Bennett Kleinberg. 2022 · 2022
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Large pre-trained language models contain human-like biases of what is right and wrong to do
Patrick Schramowski, Cigdem Turan, Nico Andersen, Constantin A. Rothkopf, and Kristian Kersting. 2022 · 2022
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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 · 2023
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Probing pre-trained language models for cross-cultural differences in values
Arnav Arora, Lucie-aimée Kaffee, and Isabelle Augenstein. 2023 · 2023
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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 · 2023
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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 · 2023
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Jochen Hartmann, Jasper Schwenzow, and Maximilian Witte. 2023 · 2023
Cited alongside, same era.
Aligning language models to user opinions
EunJeong Hwang, Bodhisattwa Majumder, and Niket Tandon. 2023 · 2023
Cited alongside, same era.
Co-writing with opinionated language models affects users’ views
Maurice Jakesch, Advait Bhat, Daniel Buschek, Lior Zalmanson, and Mor Naaman. 2023 · 2023
Cited alongside, same era.
Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de Las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed. 2023 · 2023
Cited alongside, same era.
Social Bias Probing: Fairness Benchmarking for Language Models
Llama 3 model card
AI@Meta. 2024 · 2024
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Measuring political bias in large language models: What is said and how it is said
Yejin Bang, Delong Chen, Nayeon Lee, and Pascale Fung. 2024 · 2024
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Investigating Human Values in Online Communities
Nadav Borenstein, Arnav Arora, Lucie-Aimée Kaffee, and Isabelle Augenstein. 2024 · 2024
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Tanise Ceron, Neele Falk, Ana Barić, Dmitry Nikolaev, and Sebastian Padó. 2024 · 2024
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Olmo: Accelerating the science of language models
Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, and Hannaneh Hajishirzi. 2024 · 2024
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Marta Marchiori Manerba, Karolina Stańczak, Riccardo Guidotti, and Isabelle Augenstein. 2023 · 2023
Cited alongside, same era.
The self-perception and political biases of chatgpt
Jérôme Rutinowski, Sven Franke, Jan Endendyk, Ina Dormuth, and Markus Pauly. 2023 · 2023
Cited alongside, same era.
Whose opinions do language models reflect?
Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, and Tatsunori Hashimoto. 2023 · 2023
Cited alongside, same era.
Quantifying gender bias towards politicians in cross-lingual language models
Karolina Stańczak, Sagnik Ray Choudhury, Tiago Pimentel, Ryan Cotterell, and Isabelle Augenstein. 2023 · 2023
Cited alongside, same era.
Assessing political inclination of Bangla language models
Surendrabikram Thapa, Ashwarya Maratha, Khan Md Hasib, Mehwish Nasim, and Usman Naseem. 2023 · 2023
Cited alongside, same era.
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, Dan Bikel, Lukas Blecher, Cristian Canton-Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurélien Rodriguez, Robert Stojnic, Sergey Edunov, and Thomas Scialom. 2023 · 2023
Cited alongside, same era.
Zephyr: Direct distillation of lm alignment
Lewis Tunstall, Edward Beeching, Nathan Lambert, Nazneen Rajani, Kashif Rasul, Younes Belkada, Shengyi Huang, Leandro von Werra, Clémentine Fourrier, Nathan Habib, Nathan Sarrazin, Omar Sanseviero, Alexander M. Rush, and Thomas Wolf. 2023 · 2023
Cited alongside, same era.
Jailbroken: How does LLM safety training fail?
Alexander Wei, Nika Haghtalab, and Jacob Steinhardt. 2023 · 2023
Cited alongside, same era.
Closest in time.
Quantifying the persona effect in llm simulations
Tiancheng Hu and Nigel Collier. 2024 · 2024
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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, Lélio 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
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Evaluating large language model biases in persona-steered generation
Andy Liu, Mona Diab, and Daniel Fried. 2024 · 2024
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More human than human: Measuring chatgpt political bias
Fabio Motoki, Valdemar Pinho Neto, and Victor Rodrigues. 2024 · 2024
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Civics: Building a dataset for examining culturally-informed values in large language models
Giada Pistilli, Alina Leidinger, Yacine Jernite, Atoosa Kasirzadeh, Alexandra Sasha Luccioni, and Margaret Mitchell. 2024 · 2024
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Political compass or spinning arrow? towards more meaningful evaluations for values and opinions in large language models
Paul Röttger, Valentin Hofmann, Valentina Pyatkin, Musashi Hinck, Hannah Kirk, Hinrich Schuetze, and Dirk Hovy. 2024 · 2024
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Xinpeng Wang, Bolei Ma, Chengzhi Hu, Leon Weber-Genzel, Paul Röttger, Frauke Kreuter, Dirk Hovy, and Barbara Plank. 2024 · 2024
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