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This paper highlights the importance of personalization in large language models and introduces the LaMP benchmark -- a novel benchmark for training and evaluating language models for producing personalized outputs.
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UserAdapter: Few-shot user learning in sentiment analysis
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Paraphrase generation: A survey of the state of the art
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Idiosyncratic but not arbitrary: Learning idiolects in online registers reveals distinctive yet consistent individual styles
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Scaling instruction-finetuned language models
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Zhao, Yanping Huang, Andrew Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, and Jason Wei. 2022 · 2022
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Generating personalized recipes from historical user preferences
Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, and Julian McAuley. 2019 · 2019
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Deep learning recommendation model for personalization and recommendation systems
Maxim Naumov, Dheevatsa Mudigere, Hao-Jun Michael Shi, Jianyu Huang, Narayanan Sundaraman, Jongsoo Park, Xiaodong Wang, Udit Gupta, Carole-Jean Wu, Alisson G. Azzolini, Dmytro Dzhulgakov, Andrey Mallevich, Ilia Cherniavskii, Yinghai Lu, Raghuraman Krishnamoorthi, Ansha Yu, Volodymyr Kondratenko, Stephanie Pereira, Xianjie Chen, Wenlin Chen, Vijay Rao, Bill Jia, Liang Xiong, and Misha Smelyanskiy. 2019 · 2019
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Justifying recommendations using distantly-labeled reviews and fine-grained aspects
Jianmo Ni, Jiacheng Li, and Julian McAuley. 2019 · 2019
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Superglue: A stickier benchmark for general-purpose language understanding systems
Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel Bowman. 2019 · 2019
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Citation recommendation: Approaches and datasets
Michael Färber and Adam Jatowt. 2020 · 2020
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Jury learning: Integrating dissenting voices into machine learning models
Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeff Hancock, Tatsunori Hashimoto, and Michael S. Bernstein. 2022 · 2022
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Usernlp’22: 2022 international workshop on user-centered natural language processing
Xiaolei Huang, Lucie Flek, Franck Dernoncourt, Charles Welch, Silvio Amir, Ramit Sawhney, and Diyi Yang. 2022 · 2022
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Unsupervised dense information retrieval with contrastive learning
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UserIdentifier: Implicit user representations for simple and effective personalized sentiment analysis
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Rishabh Misra. 2022 · 2022
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Updated headline generation: Creating updated summaries for evolving news stories
Sheena Panthaplackel, Adrian Benton, and Mark Dredze. 2022 · 2022
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The “problem” of human label variation: On ground truth in data, modeling and evaluation
Barbara Plank. 2022 · 2022
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Unifying data perspectivism and personalization: An application to social norms
Joan Plepi, Béla Neuendorf, Lucie Flek, and Charles Welch. 2022 · 2022
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Two contrasting data annotation paradigms for subjective NLP tasks
Paul Rottger, Bertie Vidgen, Dirk Hovy, and Janet Pierrehumbert. 2022 · 2022
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Human language modeling
Nikita Soni, Matthew Matero, Niranjan Balasubramanian, and H. Andrew Schwartz. 2022 · 2022
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Leveraging similar users for personalized language modeling with limited data
Charles Welch, Chenxi Gu, Jonathan K. Kummerfeld, Veronica Perez-Rosas, and Rada Mihalcea. 2022 · 2022
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Rethinking personalized ranking at pinterest: An end-to-end approach
Jiajing Xu, Andrew Zhai, and Charles Rosenberg. 2022 · 2022
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Less is more: Learning to refine dialogue history for personalized dialogue generation
Hanxun Zhong, Zhicheng Dou, Yutao Zhu, Hongjin Qian, and Ji-Rong Wen. 2022 · 2022
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Hannah Rose Kirk, Bertie Vidgen, Paul Röttger, and Scott A Hale. 2023 · 2023
Closest in time.
Membership inference attacks against language models via neighbourhood comparison
Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schölkopf, Mrinmaya Sachan, and Taylor Berg-Kirkpatrick. 2023 · 2023
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OpenAI. 2023 · 2023
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Ai and personalization
Omid Rafieian and Hema Yoganarasimhan. 2023 · 2023
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Personalised language modelling of screen characters using rich metadata annotations
Sebastian Vincent, Rowanne Sumner, Alice Dowek, Charlotte Blundell, Emily Preston, Chris Bayliss, Chris Oakley, and Carolina Scarton. 2023 · 2023
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A personalized dense retrieval framework for unified information access
Hansi Zeng, Surya Kallumadi, Zaid Alibadi, Rodrigo Nogueira, and Hamed Zamani. 2023 · 2023
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