User Preference Modeling

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24 papers in the last four weeks, up 60% on the four weeks before. 0.2% of all new papers.

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  1. Self-Consuming Generative Models with Co-Evolving Human Preferences

    Oct 7, 2026Xiukun Wei, Tian Xie, Ding Zhu +1Generative ModelingUser Preference Modeling

    The Ohio State University

  2. Personalize at Test Time: Learning User Preferences for Image Generation

    Oct 6, 2026Jiamu Bai, Jiaming Hu, Yanhong Wu +1User Preference ModelingDiffusion Model Alignment

    Penn State University · Meta · Boston University +1

  3. SIFT: Search Intent-to-Filter Transformer for Multi-Task Personalized Filter Ranking at Airbnb

    Oct 6, 2026Shashank Dabriwal, Tanya Piplani, Hao Li +4Learning to RankUser Preference Modeling

    Airbnb San Francisco, USA

  4. Reading the Mood: Emotion-Guided Book-to-Music Recommendation via CGANs and LLMs

    Oct 5, 2026Manousos Linardakis, Georgios AlexandridisRecommender SystemsUser Preference Modeling

    School of Electrical & Computer Engineering National Technical University of Athens Zografou, 15780, Greece · Department of Digital Industry Technologies National & Kapodistrian University of Athens Evripos Complex, Psachna, 34400, Greece

  5. Action-On-Item Preference Flow: A Shared Event Schema for Predictive and Generative Personalization

    Oct 1, 2026Parthiv Chatterjee, Kashish Kanjaria, Vashisth Purani +2User ModelingState Tracking

    KDM Lab, Dhirubhai Ambani University · Dhirubhai Ambani University · LCS2 Lab, Indian Institute of Technology Delhi

  6. Not All Is Lost: Repairing Lossy User Preference States of Personalization Encoders

    Oct 1, 2026Parthiv Chatterjee, Dhiraj Golhar, Ummesalma Diwan +3Representation LearningRecommender Systems

    KDM Lab, Dhirubhai Ambani University · Dhirubhai Ambani University · LCS2 Lab, Indian Institute of Technology Delhi

  7. Evaluating LLM-Generated Preference Distributions

    Oct 1, 2026Fan Huang, Minsuk Kim, C. Tyler Diggans +1LLM EvaluationSynthetic Data Generation

    Indiana University Bloomington Bloomington, IN, USA · Massachusetts Institute of Technology Cambridge, MA, USA · Root Dynamix LLC Sewickley, PA, USA

  8. Patient-Centered Treatment Planning for Chronic Multimorbidity: A Hierarchical Reinforcement Learning Framework for Preference Modeling

    Sep 30, 2026Nafiseh Payani, Soham Das, G. Anthony Wilson +1HealthcareHierarchical RL

    Department of Industrial and Systems Engineering at the University of Tennessee, Knoxville, TN, USA · Department of Industrial Engineering at the University of Arkansas, Fayetteville, AR, USA

  9. The Missing Coefficients: Bayesian Pairwise Merging for Model Personalization

    Sep 30, 2026Yaling Shen, Tongtong Wu, Siyuan Yan +1Pairwise Preference LearningPersonalized Language Models

    Monash University

  10. Textual User Taste: Natural-Language User Context for Foundation-Model Recommender System at Scale

    Sep 28, 2026Ghazal Fazelnia, Paul Gigioli, Eliza Klyce +16Recommender SystemsLarge Language Model-Based Recommendation

    Spotify, USA, UK, Sweden

  11. Using Context Is Not Enough: Test-Time Training for Personalized Reward Modeling

    Sep 28, 2026Bohao Wang, Xiaoyan Zhao, Yang Zhang +4Pairwise Preference LearningReward Modeling

    Zhejiang University · National University of Singapore

  12. PairPref: When Should Memory Guide the Answer? A Benchmark for Contextual Preference Use

    Sep 28, 2026Mingfei Lu, Mengjia Wu, Yi ZhangUser Preference ModelingMemory-Augmented Language Model Agents

    AAII, University of Technology Sydney

  13. Over-Personalization Is a Decision Failure: Generation-Induced Apply Bias in LLMs

    Sep 28, 2026Haeun Jang, Yonghyun Jun, Hwanhee LeePersonalized Language ModelsLLM Decision-Making

    Department of Artificial Intelligence, Chung-Ang University

  14. PrefLUT: Reusable and Refinable Personalized Color Editing from Pairwise Preferences

    Sep 28, 2026Chuanzhi Xu, Langyi Chen, Chengkun Yue +5Pairwise Preference LearningUser Preference Modeling

    The University of Sydney · Indiana University · The University of Hong Kong

  15. How Much Imprecision is Enough Imprecision in my Classifier? A Practical Elicitation Procedure

    Sep 27, 2026Victor F. Lopes de Souza, Sébastien Destercke, Abdelhak ImoussatenSet PredictionClassification

    EuroMov Digital Health in Motion, Univ. Montpellier, IMT Mines Al`es, Montpellier, France · LIRMM, Universit´e de Montpellier, CNRS, Montpellier, France · SyCoIA, IMT Mines Al`es, Al`es, France +1

  16. Multi-Dimensional Comparative Scale Construction for Efficient Personalized Subjective Judgment in High-Traffic Applications

    Sep 27, 2026Xianglong Shi, Shifeng Liu, Sirui Zhao +2Human Preference EvaluationLearning to Rank

    University of Science and Technology of China · University of Electronic Science and Technology of China

  17. From Static Personal Values to Contextualized Personalization: Bayesian Personalized Value Alignment for LLMs

    Sep 24, 2026Hanze Guo, Aixuan Song, Jing Yao +4LLM AlignmentPersonalized Language Models

    Gaoling School of Artificial Intelligence, Renmin University of China · Microsoft Research Asia · Beijing Key Laboratory of Research on Large Models and Intelligent Governance +1

  18. Context-Continuous Preference Learning for Exoskeleton Personalization

    Sep 23, 2026Sunin Baek, Sungwoo Park, Daekyum KimGaussian ProcessesUser Preference Modeling

    School of Mechanical Engineering, Korea University, Seoul 02841, South Korea

  19. A Behavioral Trait Leaks into Preferences: Diagnosing Trait Interference in LLM User Simulators

    Sep 22, 2026Chaehyun Kim, Sein Kim, Hongseok Kang +1Recommender SystemsUser Simulation

    KAIST Daejeon, Republic of Korea

  20. Reproducing Transparent and Scrutable Recommendations: Exploring Open-Weight Models via Natural-Language User Profiles

    Sep 17, 2026Noah Mamié, Laurin van den BerghRecommender SystemsLarge Language Model-Based Recommendation

    University of Zurich Department of Informatics

  21. Re2A: Situated Conversational Recommendation via Rubric-based Preference Reasoning and Alignment

    Sep 16, 2026Dongding Lin, Jian Wang, Xiaoyan Zhao +1Recommender SystemsPreference Alignment

    Department of Computing, The Hong Kong Polytechnic University · College of Computer Science, Sichuan University · The Chinese University of Hong Kong

  22. Behavior2Value: Benchmarking and Empowering LLMs for Consumer Value Measurement from E-commerce Behaviors

    Sep 16, 2026Peixuan Hou, Bin Chen, Li He +4Benchmark DesignUser Preference Modeling

    State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University · Alibaba Group

  23. Scaling Articulated Rationales for MLLM-based Recommendation

    Sep 15, 2026Haoke Xiao, Yueyang Liu, Yuhui Zhang +17Learning to RankRecommender Systems

    Kuaishou Technology

  24. Self-Evolving Memory for Generative Recommendation

    Sep 14, 2026Xinyu Lin, Zhuosong Jiang, Zixiao Suo +12Memory-Augmented Neural NetworksRecommender Systems

    National University of Singapore · Meta AI

  25. GUIDE: Generative Utility Inference and Decision Engine

    Sep 14, 2026Anagha Tiwari, Alexander G. Gray, Nick Feamster +3Adaptive SamplingUser Preference Modeling

    Department of Computer Science, University of Chicago · Centaur AI Institute, University of Chicago · Heinz College & School of Computer Science, Carnegie Mellon University +1

  26. HyperTrace: Hypothesis-Based Preference Tracing for Online LLM Personalization

    Sep 9, 2026Jianzhi Shen, Keyu Mao, Minghao Shao +7LLM PersonalizationPersonalized Language Models

    Johns Hopkins University · Institute of Science Tokyo · NYU Tandon +1

  27. SequenceO1: End-to-End Ultra-Long (100K) Sequence Modeling in Recommendation with Low-Rank Caching

    Sep 8, 2026Lin Guan, Jia-Qi Yang, Zhishan Zhao +15Sequential RecommendationLong-Context Modeling

    ByteDance

  28. Less Is Personal: Learning Minimal Sufficient User Profiles for Personalized Language Models

    Sep 8, 2026Minghang Liu, Qiang Qiu, Yuanzhuo Wang +2LLM PersonalizationMemory-Augmented Language Models

    State Key Laboratory of AI Safety, Institute of Computing Technology, CAS · University of Chinese Academy of Sciences, Beijing, China

  29. DeepAffinity: Long-Term Aspect Preference Prediction in eCommerce using Small Language Models

    Sep 2, 2026Yotam Eshel, Guy Hadad, Guy Feigenblat +3User Preference ModelingE-Commerce

    eBay Inc. · Ben-Gurion University · DREAM group

  30. CAPTURE: Disentangling Preference Drift from Memory Poisoning in Personalized LLM Agents

    Sep 2, 2026S M Asif Hossain, Ruksat Khan Shayoni, Md Kishor MorolAgent Memory PoisoningLLM Agents

  31. VIBE-Bench: Evaluating Personalized Large Language Models When Profiles Don't Mean Preferences

    Sep 1, 2026Yiwen Jiang, Yang Deng, Stephanie Fong +9LLM EvaluationLLM Personalization

    1Monash University · 2Singapore Management University · University of Liverpool +1

  32. Towards Effective Structured Context Modeling for Conversational Recommender Systems via Dual-node Monte Carlo Tree Search

    Sep 1, 2026Jincheng Zhang, Chen Huang, Wenqiang Lei +2Recommender SystemsLarge Language Model-Based Recommendation

    College of Computer Science, Sichuan University · Engineering Research Center of Machine Learning and Industry Intelligence, Ministry of Education, China · Institute of Data Science, National University of Singapore +1

  33. Autoresearch for Marketplace Catalogs: From Legacy Forms to AI-Native Matching

    Aug 31, 2026Kartik Ravisankar, Hojat Abdolanezhad, Daniel Capo +3User Preference ModelingGenerative AI Evaluation

    Thumbtack · San Francisco, CA, USA

  34. Hypotheses-Guided Self Distillation for Continual Personalization

    Aug 31, 2026EunJeong Hwang, Kushan Mitra, Dan Zhang +2Continual Learning for LLMsLLM Personalization

    University of British Columbia · Work done as an intern at Megagon Labs. · Megagon Labs, USA

  35. Low-Resource Preference Adaptation of LLMs via Activation-Based Label Propagation

    Aug 31, 2026Alessio Galatolo, Meriem BeloucifPairwise Preference LearningLLM Alignment

    Uppsala University

  36. Demand-Side Measurement for Generative Engine Optimization: Constructing and Validating a Million-Persona, Intent-Annotated Buyer Corpus

    Aug 30, 2026Dmitrij Żatuchin, Daniil DzemesjukGenerative Engine OptimizationSynthetic Data Generation

    Estonian Entrepreneurship University of Applied Sciences (EUAS), Tallinn, Estonia. · Rankfor.AI OÜ, Tallinn, Estonia.

  37. MoPLEx: Estimating Plackett-Luce Mixture Models for Multi-Objective Alignment

    Aug 25, 2026Dongyue Li, Ziniu Zhang, Lu Wang +1Learning to RankDiscrete Choice Modeling

    Northeastern University, Boston, MA · University of Michigan, Ann Arbor, MI

  38. Dear Algo: A Precision-First Agentic Intent Layer for Unified Search and Recommendation

    Aug 16, 2026Rui Wang, Jiazhou Wang, Zheng Wei +16Language Model SteeringRecommender Systems

    Meta Platforms Inc. USA · Google DeepMind, USA

  39. Learning from Online User Feedback for Shopping Agents

    Aug 12, 2026Haobo Zhang, Kelong Mao, Sulong Xu +2Large Language Model-Based RecommendationUser Preference Modeling

    Gaoling School of Artificial Intelligence, Renmin University of China

  40. Inverse Theory of Mind Modeling for Content Recommendation: From Web Browsing to Dynamic Intelligent Interfaces

    Aug 11, 2026Mengyu Chen, Feiyu Lu, Chun-Fu Chen +2Theory of MindUser Modeling

    JPMorganChase New York City, NY, USA · JPMorganChase London, UK · JPMorganChase Palo Alto, CA, USA

  41. Learning Preference Adaptation for Large Language Model Personalization via Verbal Reinforcement Learning

    Aug 10, 2026Yuting Liu, Wei Wu, Jianzhe Zhao +1LLM PersonalizationMeta-Learning

    Software College, Northeastern University, China · Ant International

  42. UserToolBench: A User-Profile-Hidden Benchmark for Personalized Decision Making in Tool-Use LLMs

    Aug 10, 2026Xuexiong Yin, Zechuan Chen, Yongsen Zheng +5Tool-Use EvaluationTool-Augmented Language Model Agents

    Sun Yat-Sen University · Nanyang Technological University · Huawei Noah’s Ark Lab

  43. CIDER: A Dataset of Contextual Disclosure Boundaries for Privacy Preference Alignment

    Aug 10, 2026Bingcan Guo, Eryue Xu, Jijie Zhou +2Preference AlignmentInference-Time Language Model Alignment

    University of Washington · UIUC · Northeastern University

  44. From Product Search to Preference Articulation: The Economics of Agentic Commerce

    Aug 9, 2026Lingxiu Dong, Kaiwen Luo, Fasheng XuAgentic SearchE-Commerce Search

    Olin Business School, Washington University in St. Louis · School of Business, University of Connecticut

  45. Shape Your Feed: An LLM-based Agentic System for Conversational Recommendation

    Aug 6, 2026Ziyun Xu, Bosen Ding, Yue Zhang +10LLM RerankingRecommender Systems

    Meta Platforms Menlo Park, California, USA

  46. GeoReward: Mitigating Contextual Variable Overestimation in Vision-Language Models for Cross-Market Preference Prediction

    Aug 5, 2026Shuo Liu, Huixiang Cai, Weiru Zhang +1Vision-Language ModelsVLM Adaptation

    Alibaba International Digital Commerce Group

  47. Conditionally Identifiable Latent-Environment Modeling for Out-of-Distribution Recommendation

    Aug 4, 2026Qianqian Wang, Wenwu Gong, Yunshan Li +3Latent Variable ModelsOOD Generalization

    Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet, Southern University of Science and Technology, Shenzhen, China · Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, China · School of Mathematical and Computational Sciences, Massey University, Auckland, New Zealand

  48. LLM-Derived Priors for Thompson Sampling in Cold-Start Comment Recommendation

    Aug 4, 2026Eugene Lee, Oseong Choi, Byungsoo Kang +1Thompson SamplingCold-Start Recommendation

    NAVER WEBTOON South Korea

  49. PALMs: Using Multi Construct-Grounded Rationales for Modeling Population Preferences in LLMs

    Aug 2, 2026Priyanka Dey, Brihi Joshi, Preyashi Poddar +2LLM AlignmentHuman Preference Modeling

    University of Southern California · Information Sciences Institute

  50. Learning to Adapt Cross-Domain Preferences via Meta-LoRA for LLM Personalization

    Aug 1, 2026Xuefei Wang, Jun Han, Zixuan Wang +4Few-Shot Domain AdaptationLLM Personalization

    Beihang University · Nankai University

  51. Know It, Act on It: Investigating Memory Utilization in LLM Personalization

    Jul 31, 2026Zhaoxin Feng, Jianfei Ma, Emmanuele ChersoniLLM PersonalizationLLM Agent Memory

    The Hong Kong Polytechnic University

  52. PaletteID: Prototype-Composed Semantic Identifiers for Multimodal CTR Prediction

    Jul 31, 2026Huanyu Liu, Baining Chen, Hui Liu +2Semantic ID RecommendationPrototype Learning

    Huazhong University of Science and Technology Wuhan, Hubei, China · Central China Normal University Wuhan, Hubei, China

  53. An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks

    Jul 30, 2026Sheng Lun Christine Cao, Destenie Nock, Alex DavisDiscrete Choice ModelingUser Preference Modeling

    Department of Electrical and Software Engineering, University of Calgary, Calgary, AB, Canada · Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA · Department of Civil Engineering, Carnegie Mellon University, Pittsburgh, PA, USA +1

  54. Building a User Foundation Model for the Open Web

    Jul 30, 2026Solal Vernier, Ivan Can Arisoy, Merwan Barlier +1Self-Supervised LearningCTR Prediction

    Teads Ljubljana, Slovenia

  55. Hierarchical Latent Reasoning for LLM-based Recommendation

    Jul 30, 2026Peiyu Hu, Siying Gu, Weihai Lu +8Sequential RecommendationRL for Language Model Reasoning

    1Xi’an Jiaotong-Liverpool University · 2Xiaohongshu · 3Peking University +1

  56. Learning Dynamic User Personas from Implicit Interaction Streams via Iterative Refinement

    Jul 29, 2026Haifeng WuLLM PersonalizationUser Modeling

    PayPal

  57. MEMOIR: Temporal Behavioral Memory for Recommendation Across the Preference-Drift Spectrum

    Jul 27, 2026Younggue BaeSequential RecommendationLarge Language Model-Based Recommendation

    Independent Researcher Vancouver, Canada

  58. CALMRec: Causally Aligned Language Memory for Long-Horizon Recommendation

    Jul 26, 2026Gengyu ZhanMemory-Augmented Language ModelsRecommender Systems

    Shenzhen University

  59. PrefReward: Learning User Preference Matrix for Personalized Text Generation

    Jul 23, 2026Yue Wu, Chengbing Wang, Yimeng Bai +3Personalized Language ModelsPersonalized Text Generation

    University of Science and Technology of China · The Chinese University of Hong Kong · National University of Singapore

  60. Rushes: A Human Preference Dataset for Pluralistic Alignment

    Jul 22, 2026Michael Xu, Jorge Leandro, Sudha Rao +5Sequential Decision MakingHuman Preference Modeling

    Microsoft Research