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Names are deeply tied to human identity.
How personal is machine learning personalization?
Travis Greene and Galit Shmueli. 2019 · 1912
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Please call me john: Name choice and the assimilation of immigrants in the united states, 1900–1930
Pedro Carneiro, Sokbae Lee, and Hugo Reis. 2020 · 1930
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Names, identity, and self
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Fashion, culture, and identity
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A Dictionary of First Names
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Social identity and intergroup relations , volume 7
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First names as signs of personal identity: an intercultural comparison
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The impact of an unusual name on individual and cultural identity
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Stereoset: Measuring stereotypical bias in pretrained language models
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Name dataset
Philippe Remy. 2021 · 2021
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Low frequency names exhibit bias and overfitting in contextualizing language models
Robert Wolfe and Aylin Caliskan. 2021 · 2021
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Bertopic: Neural topic modeling with a class-based tf-idf procedure
Maarten Grootendorst. 2022 · 2022
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You are what you write: Preserving privacy in the era of large language models
Richard Plant, Valerio Giuffrida, and Dimitra Gkatzia. 2022 · 2022
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Toward cultural bias evaluation datasets: The case of Bengali gender, religious, and national identity
Dipto Das, Shion Guha, and Bryan Semaan. 2023 · 2023
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Khyati Khandelwal, Manuel Tonneau, Andrew M Bean, Hannah Rose Kirk, and Scott A Hale. 2023 · 2023
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Gender bias and stereotypes in large language models
Hadas Kotek, Rikker Dockum, and David Q. Sun. 2023 · 2023
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Efficient memory management for large language model serving with pagedattention
Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph E. Gonzalez, Hao Zhang, and Ion Stoica. 2023 · 2023
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Extracting cultural commonsense knowledge at scale
Tuan-Phong Nguyen, Simon Razniewski, Aparna Varde, and Gerhard Weikum. 2023 · 2023
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Huihan Li, Liwei Jiang, Jena D Hwang, Hyunwoo Kim, Sebastin Santy, Taylor Sorensen, Bill Yuchen Lin, Nouha Dziri, Xiang Ren, and Yejin Choi. 2024 · 2024
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On the way to llm personalization: Learning to remember user conversations
Lucie Charlotte Magister, Katherine Metcalf, Yizhe Zhang, and Maartje ter Hoeve. 2024 · 2024
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Having beer after prayer? measuring cultural bias in large language models
Tarek Naous, Michael J Ryan, Alan Ritter, and Wei Xu. 2024 · 2024
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4o mini: Advancing cost-efficient intelligence, 2024
Gpt OpenAI. 2024c · 2024
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Survey of cultural awareness in language models: Text and beyond
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The shifted and the overlooked: A task-oriented investigation of user-GPT interactions
Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, and Jiawei Han. 2023 · 2023
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Lamp: When large language models meet personalization
Alireza Salemi, Sheshera Mysore, Michael Bendersky, and Hamed Zamani. 2023 · 2023
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"kelly is a warm person, joseph is a role model": Gender biases in llm-generated reference letters
Yixin Wan, George Pu, Jiao Sun, Aparna Garimella, Kai-Wei Chang, and Nanyun Peng. 2023 · 2023
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Bias runs deep: Implicit reasoning biases in persona-assigned llms
Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, Ashwin Kalyan, Peter Clark, Ashish Sabharwal, and Tushar Khot. 2024 · 2024
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Siddhesh Pawar, Junyeong Park, Jiho Jin, Arnav Arora, Junho Myung, Srishti Yadav, Faiz Ghifari Haznitrama, Inhwa Song, Alice Oh, and Isabelle Augenstein. 2024 · 2024
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Aya model: An instruction finetuned open-access multilingual language model
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Uncovering name-based biases in large language models through simulated trust game
Yumou Wei, Paulo F Carvalho, and John Stamper. 2024 · 2024
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Personalization of large language models: A survey
Zhehao Zhang, Ryan A Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, et al. 2024 · 2024
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Tailor claude’s responses
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Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning
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Multi-turn evaluation of anthropomorphic behaviours in large language models
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