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PersonalLLM: Tailoring LLMs to Individual Preferences

30 September 2024

Papers citing "PersonalLLM: Tailoring LLMs to Individual Preferences"

28 / 28 papers shown

Title
Teaching Language Models to Evolve with Users: Dynamic Profile Modeling for Personalized Alignment Weixiang Zhao Xingyu Sui Yulin Hu Jiahe Guo Haixiao Liu Biye Li Yanyan Zhao Bing Qin Ting Liu OffRL 101 1 0 21 May 2025
LoRe: Personalizing LLMs via Low-Rank Reward Modeling Avinandan Bose Zhihan Xiong Yuejie Chi Simon S. Du Lin Xiao Maryam Fazel 84 2 0 20 Apr 2025
Know Me, Respond to Me: Benchmarking LLMs for Dynamic User Profiling and Personalized Responses at Scale Bowen Jiang Zhuoqun Hao Y. Cho B. Li Yuan Yuan Sihao Chen Lyle Ungar Camillo J Taylor Dan Roth 126 3 0 19 Apr 2025
A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models Zhouhang Xie Junda Wu Yiran Shen Yu Xia Xintong Li ... Sachin Kumar Bodhisattwa Prasad Majumder Jingbo Shang Prithviraj Ammanabrolu Julian McAuley 144 1 0 09 Apr 2025
From 1,000,000 Users to Every User: Scaling Up Personalized Preference for User-level Alignment Jia-Nan Li Jian Guan Songhao Wu Wei Wu Rui Yan 161 3 0 19 Mar 2025
Personalize Your LLM: Fake it then Align it Yijing Zhang Dyah Adila Changho Shin Frederic Sala 127 1 0 02 Mar 2025
Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements Shu Yang Shenzhe Zhu Zeyu Wu Keyu Wang Junchi Yao Junchao Wu Lijie Hu Mengdi Li Derek F. Wong Di Wang 61 9 0 18 Feb 2025
A Survey of Personalized Large Language Models: Progress and Future Directions Jiahong Liu Zexuan Qiu Zhongyang Li Quanyu Dai Jieming Zhu Minda Hu Menglin Yang Irwin King LM&MA 106 8 0 17 Feb 2025
Towards Effective Discrimination Testing for Generative AI Thomas P. Zollo Nikita Rajaneesh Richard Zemel Talia B. Gillis Emily Black 159 2 0 31 Dec 2024
Scaling Synthetic Data Creation with 1,000,000,000 Personas Tao Ge Xin Chan Dian Yu Haitao Mi Dong Yu Dong Yu SyDa 216 150 0 28 Jun 2024
Personalized Language Modeling from Personalized Human Feedback Xinyu Li Zachary C. Lipton Liu Leqi ALM 128 59 0 06 Feb 2024
Retrieval-Augmented Generation for Large Language Models: A Survey Yunfan Gao Yun Xiong Xinyu Gao Kangxiang Jia Jinliu Pan Yuxi Bi Yi Dai Jiawei Sun Meng Wang Haofen Wang 3DV RALM 245 1,821 1 18 Dec 2023
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning Bill Yuchen Lin Abhilasha Ravichander Ximing Lu Nouha Dziri Melanie Sclar Khyathi Chandu Chandra Bhagavatula Yejin Choi 66 199 0 04 Dec 2023
Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging Joel Jang Seungone Kim Bill Yuchen Lin Yizhong Wang Jack Hessel Luke Zettlemoyer Hannaneh Hajishirzi Yejin Choi Prithviraj Ammanabrolu MoMe 123 153 0 17 Oct 2023
Direct Preference Optimization: Your Language Model is Secretly a Reward Model Rafael Rafailov Archit Sharma E. Mitchell Stefano Ermon Christopher D. Manning Chelsea Finn ALM 389 4,169 0 29 May 2023
Aligning Language Models to User Opinions EunJeong Hwang Bodhisattwa Prasad Majumder Niket Tandon 84 74 0 24 May 2023
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment Hanze Dong Wei Xiong Deepanshu Goyal Yihan Zhang Winnie Chow Boyao Wang Shizhe Diao Jipeng Zhang Kashun Shum Tong Zhang ALM 102 468 0 13 Apr 2023
Rethinking Personalized Ranking at Pinterest: An End-to-End Approach Jiajing Xu Andrew Zhai Charles R. Rosenberg 72 18 0 18 Sep 2022
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations Kang Min Yoo Junyeob Kim Sungmin Cho Hyunsoo Cho Hwiyeol Jo Sang-Woo Lee Sang-goo Lee Taeuk Kim 102 129 0 25 May 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? Sewon Min Xinxi Lyu Ari Holtzman Mikel Artetxe M. Lewis Hannaneh Hajishirzi Luke Zettlemoyer LLMAG LRM 191 1,501 0 25 Feb 2022
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 504 10,526 0 17 Jun 2021
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 904 42,520 0 28 May 2020
Citation Recommendation: Approaches and Datasets Michael Färber Adam Jatowt 64 95 0 17 Feb 2020
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 491 1,770 0 18 Sep 2019
RecSim: A Configurable Simulation Platform for Recommender Systems Eugene Ie Chih-Wei Hsu Martin Mladenov Vihan Jain Sanmit Narvekar Jing Wang Rui Wu Craig Boutilier 115 183 0 11 Sep 2019
Training Millions of Personalized Dialogue Agents Pierre-Emmanuel Mazaré Samuel Humeau Martin Raison Antoine Bordes 102 268 0 06 Sep 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 583 19,315 0 20 Jul 2017
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,637 0 01 Sep 2014