Large Language Model-Based Recommendation

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11 papers in the last four weeks, down 15% on the four weeks before. 0.1% of all new papers.

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  1. Personal-Agent Mediated Recommendation with Cross-Platform User History

    Oct 6, 2026Yu Xia, Jiangfan Zhang, Jun Xiao +2LLM PersonalizationRecommender Systems

    University of California San Diego · Meta · Meta AI

  2. RPTune: Learned Context Curation for LLM Catalog Search

    Oct 1, 2026Chuxuan Hu, Hejie Cui, Norman Huang +3In-Context RetrievalLLM Fine-Tuning

    Google · University of Illinois Urbana-Champaign

  3. VirusCascade: Hijacking Collaborative Reflection in LLM-Powered Recommender Agents

    Sep 29, 2026Yurong Hao, Wen Zhou, Guowei Guan +3Adversarial AttacksAgent Memory Poisoning

    College of Computing and Data Science, Nanyang Technological University

  4. ReMem: Rethinking Perception and Memory in Long-Context Recommendation Agents

    Sep 29, 2026Haohao Qu, Yongcheng Jing, Chun Hin Chan +3Long-Context ModelingRecommender Systems

    The Hong Kong Polytechnic University Hong Kong · Nanyang Technological University Singapore

  5. 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

  6. 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

  7. "If I Had to Buy Just ONE: Galaxy S26 Ultra": Auditing AI-Generated Product Recommendations

    Sep 16, 2026Lucas G. Uberti-Bona Marin, Thales Bertaglia, Giovanni Astante +5Language Model Bias EvaluationLarge Language Model-Based Recommendation

    Law & Tech Lab, Maastricht University · Utrecht University · Social Computing Group, Department of Informatics, University of Zurich

  8. Understanding AI Provider Recommendations in Local Service Markets

    Sep 16, 2026Hazem Ibrahim, Yasir ZakiRetrieval-Augmented GenerationLarge Language Model-Based Recommendation

    New York University Abu Dhabi Abu Dhabi, United Arab Emirates

  9. Whom Do AI Agents Work For? Role Assignment Induces Sponsorship Bias in LLM Recommenders

    Sep 16, 2026Davood Wadi, Yu MaLanguage Model Bias EvaluationLarge Language Model-Based Recommendation

    Desautels Faculty of Management McGill University Montreal, Quebec, Canada

  10. Scaling Articulated Rationales for MLLM-based Recommendation

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

    Kuaishou Technology

  11. Generate to Explore, Select to Exploit: Aligning LLM-based Headline Generation with Personalized Recommendation

    Sep 14, 2026Yi Chen, Rufeng Cheng, Qiang Xie +1RL for Language ModelsLLM Personalization

    Baidu Inc., Beijing, China

  12. (Whose defaults?) Is artificial intelligence reorienting archaeological methods?

    Sep 12, 2026Lorenzo Cardarelli, Roberto RagnoAI-Assisted Scientific ResearchLarge Language Model-Based Recommendation

    Seminar für Ur- und Frühgeschichte Georg-August-Universität Göttingen Göttingen, Germany · McDonald Institute for Archaeological Research University of Cambridge Cambridge, UK

  13. The Dice Roll Method: A Standardized Protocol for Repeated-Query Auditing of Large Language Model Brand Recommendations

    Sep 3, 2026Dmitrij ŻatuchinLLM AuditingLLM Reliability

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

  14. RPCBench: A Benchmark for Proactive Premise Critique in LLM-based Recommendation

    Sep 1, 2026Zhongru Chen, Yuan Wu, Yi ChangLLM EvaluationLarge Language Model-Based Recommendation

    School of Artificial Intelligence, Jilin University · Engineering Research Center of Knowledge-Driven Human-Machine Intelligence, MOE, China · International Center of Future Science, Jilin University

  15. 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

  16. Authority Bias in Conversational Search Engines for Academic Paper Recommendation

    Aug 31, 2026Uthman Jinadu, Parsa Ghazvinian, Anjila Budathoki +3Language Model Bias EvaluationLarge Language Model-Based Recommendation

    Georgia State University · University of Tennessee, Knoxville

  17. Retrieval, Scoring, and Decoding Shape Performance and Stability in LLM-based Conversational Recommendation

    Aug 31, 2026Ante Kapetanovic, Tomislav Duricic, Andro Mercep +1LLM EvaluationLLM Reranking

    Infobip · Split, Croatia · Zagreb, Croatia

  18. SemPOI-RL: Aligning LLM Semantic Reasoning for Interpretable Out-of-Town POI Sequential Generation

    Aug 31, 2026Yunqi Liu, Yang Zhang, Ruixing Zhang +4Sequential RecommendationLarge Language Model-Based Recommendation

    State Key Laboratory of Complex & Critical Software Environment Beihang University, Beijing, China

  19. Beyond Ranking Accuracy: Evaluating LLM-Cited Feature Rationales for Next Basket Repurchase Recommendation

    Aug 31, 2026Yanan Cao, Anay Dombe, Murali Mohana Krishna Dandu +5Sequential RecommendationLLM Evaluation

    Walmart Global Tech, Sunnyvale, CA, United States

  20. The Language of the Question Selects the Market: Query Language and Exit IP as Separable Factors in Commercial Recommendations from a Generative Search Interface

    Aug 30, 2026Dmitrij ŻatuchinE-Commerce SearchLarge Language Model-Based Recommendation

    Department of Information Technologies2026 Estonian Entrepreneurship University of Applied Sciences, Tallinn, Estonia · Rankfor.AI OÜ, Tallinn, Estonia

  21. 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

  22. 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

  23. From Prompting to Behavioral Alignment: Personalized LLM Judges for Recommendation Evaluation

    Aug 11, 2026Alireza S. Ziabari, Kat Ellis, Colleen Chan +1LLM AlignmentRecommender Systems

    Netflix Los Angeles, USA · Netflix Los Gatos, USA

  24. Towards Efficient Reasoning in LLM-Based Recommender Systems via Model Merging

    Aug 11, 2026Linh Dieu Le, Tong Chen, Shazia Sadiq +3LLM CompressionLarge Language Model-Based Recommendation

    The University of Queensland Brisbane, Australia · Griffith University Brisbane, Australia

  25. TSPORec: Token Selection via Preference Optimization for LLM-Based Sequential Recommendation

    Aug 10, 2026Wenqiao Zhu, Chao Xu, Haipang Wu +1LLM Inference EfficiencySequential Recommendation

  26. Fair on the Surface? Benchmarking Hidden-Output Fairness Gaps in LLM Recommenders

    Aug 8, 2026Chan Aristella Lu, Arya Fayyazi, Junhao Zhang +6LLM AuditingLanguage Model Bias Evaluation

    University of Georgia · University of Southern California · Carnegie Mellon University +1

  27. Preserving Item Semantics for Free: Rethinking Token Initialization in LLM-Based Generative Recommendation

    Aug 7, 2026Donald Loveland, Liam Collins, Bhuvesh Kumar +2Large Language Model-Based RecommendationRepresentation Geometry in Language Models

    Snap Inc. Bellevue, WA, USA · University of Michigan Ann Arbor, MI, USA

  28. Do LLM Recommenders Know When They're Hallucinating? Auditing Confidence Calibration in Catalog Faithfulness

    Aug 7, 2026Srijith RavikumarLLM AuditingLanguage Model Calibration

    Amazon.com LLC Seattle, Washington, USA

  29. 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

  30. Weather- and Location-Aware Agentic Dining Recommendation: Leveraging LLM World Knowledge for Region-Sensitive Contextual Reasoning

    Aug 5, 2026Kadharmoideen FadurudeenLLM AgentsRecommender Systems

    Independent Researcher

  31. 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

  32. SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay

    Aug 4, 2026Guilin Li, Jiaxing Zhang, Matthias Hwai Yong Tan +2Sequential RecommendationFinancial Fraud Detection

    Shanghai Jiao Tong University China

  33. Interpretable Representation via LLM-Driven Generative Disentanglement for Local-Life Service Recommendation

    Jul 30, 2026Long Zhang, Hao Jiang, Sheng Yu +3Semantic ID RecommendationDisentangled Representation Learning

    Kuaishou Technology Beijing, China

  34. 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

  35. OneLatent: Latent Reasoning for Efficient Foundation Recommendation Models

    Jul 29, 2026Hao Jiang, Peiru Du, Pengfei Yao +10LLM Inference AccelerationLarge Language Model-Based Recommendation

    Kuaishou Technology, Beijing, China

  36. Nudging Sustainable Choices through LLM-Generated Recommendation Explanations

    Jul 28, 2026Haya Halimeh, Dietmar Jannach, Oliver MüllerRecommender SystemsLarge Language Model-Based Recommendation

    Paderborn University, Germany · University of Klagenfurt, Austria

  37. TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation

    Jul 28, 2026He Ma, Chen LiuHeterogeneous GNNsRecommender Systems

    The University of Sydney Camperdown, NSW, 2006, Australia · Nankai University Tianjing, China

  38. MARS: Multi-Agent Re-ranking for Repeat-Order Food Delivery Recommendation

    Jul 28, 2026Jiahao Tian, Zhenkai WangLLM RerankingRecommender Systems

    The University of Texas at Austin Austin, Texas, USA

  39. Sharpness-aware Model Merging with Salience Recovery for LLM-based Cross-Domain Sequential Recommendation

    Jul 28, 2026Huwei Ji, Jiajie Su, Yuyuan Li +2Sequential RecommendationCross-Domain Transfer Learning

    Zhejiang University Hangzhou, China · Hangzhou Dianzi University Hangzhou, China

  40. The User Asks, Platforms Compete: How Agentic Recommendation Markets Take Shape

    Jul 28, 2026Deyao Hong, Kehan Zheng, Qian Li +3Mechanism DesignRecommender Systems

    Tsinghua University · Tencent Inc.

  41. VaLiDRec: Variable-Length LLM-Aligned Semantic IDs for Generative Recommendation

    Jul 28, 2026Shutong Qiao, Wei Yuan, Tong Chen +3Semantic ID RecommendationRecommender Systems

    University of Queensland Brisbane, Australia · Computer Network Information Center, Chinese Academy of Sciences Beijing, China · Griffith University Gold Coast, Australia

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

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

    Independent Researcher Vancouver, Canada

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

    Jul 26, 2026Gengyu ZhanMemory-Augmented Language ModelsRecommender Systems

    Shenzhen University

  44. Two Views, One Voice: Evidence-Grounded Conversational Music Recommendation

    Jul 24, 2026Sungwook Yoo, Sewook YooRecommender SystemsLarge Language Model-Based Recommendation

    Samsung South Korea

  45. REPREC: Representation Driven Parameter-Efficient Recommendation System

    Jul 24, 2026Harshini Kavuru, Dwipam Katariya, Giri Iyengar +3Sequential RecommendationLarge Language Model-Based Recommendation

    The Ohio State University, USA · Capital One, AI Foundations, USA

  46. Improving Rare Medication Recommendation with Counterfactual Data Augmentation and Large Language Models

    Jul 23, 2026Shinhwan Kang, Soo Yong Lee, Jaewon Kim +2Clinical Decision SupportLarge Language Model-Based Recommendation

    KAIST Seoul, South Korea · KAIST Daejeon, South Korea · Korea University Seoul, South Korea

  47. Personalized Recommendation Tool Learning via Autonomous Language Agents

    Jul 22, 2026Mingdai Yang, Zhiwei Liu, Weizhi Zhang +3LLM Tool UseRecommender Systems

    Univ. of Illinois Chicago Chicago, IL, USA · Microsoft Mountain View, USA · Beihang University, & Hangzhou Innovation Institute of BUAA Beijing & Hangzhou, China

  48. PersonaMem-v3: Toward Omni-Platform Personal Intelligence for Holistic User Understanding, Recommendation, and Agentic Tasks

    Jul 16, 2026Bowen Jiang, Yuan Yuan, Zhuoqun Hao +12Personal AI AgentsLLM Personalization

    University of Pennsylvania · Meta Recommendation Systems · MIT

  49. Consensus vs. Dissent: Dynamic LLM Modeling of Subjective Preferences in Group Recommenders

    Jul 11, 2026Cedric Waterschoot, Nava Tintarev, Francesco BarileHuman Preference ModelingRecommender Systems

    Maastricht University Maastricht, The Netherlands

  50. Tokenizing Numerical and Embedding Features for LLM RecSys

    Jul 10, 2026Zhe Xu, Ankit Peshin, Chiyu Zhang +7Recommender SystemsLarge Language Model-Based Recommendation

    Meta

  51. An LLM-powered Agentic Recommendation System for Connected TV Content Discovery

    Jul 10, 2026Lei Shi, Di Wang, Harry Tran +16Recommender SystemsLarge Language Model-Based Recommendation

    1Meta

  52. Serving the Long Tail: Training-Free LLM Candidate Generation for Vacation Rental Marketplaces

    Jul 10, 2026Syed Mohammed Arshad Zaidi, Eric Rincon, Shayan HassantabarSemantic SearchRecommender Systems

    Expedia Group Austin, Texas, USA

  53. Large Behavior Model: A Promptable Digital Twin of the Retail Customer

    Jul 8, 2026Wachiravit Modecrua, Krittin Pachtrachai, Touchapon KraisingkornLarge Language Model-Based RecommendationDigital Twins

    Amity Research and Application Center (ARAC), Amity AI Holdings Co., Ltd.

  54. SCOReD: Student-Aware CoT Optimization for Recommendation Distillation

    Jul 7, 2026Haz Sameen Shahgir, Yufei Li, Xiaohan Wei +8CoT DistillationLanguage Model Distillation

    University of California Riverside · Meta AI

  55. Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems

    Jul 5, 2026Xinyu Lin, Yashar Deldjoo, Sunhao Dai +7LLM Agent EvaluationRecommender Systems

    National University of Singapore · Polytechnic University of Bari · Renmin University of China +1

  56. LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation

    Jul 5, 2026Hongchen Li, Bohao Wang, Jingbang Chen +5Large Language Model-Based RecommendationAttention Mechanisms

    State Key Laboratory of Blockchain and Data Security, Zhejiang University. · College of Computer Science and Technology, Zhejiang University. · Zhejiang University Hangzhou, Zhejiang, China +3

  57. Diffusion-GR2: Diffusion Generative Reasoning Re-ranker

    Jul 1, 2026Zhuoxuan Zhang, Kangqi Ni, Yuhang Chen +12Blockwise Diffusion Language ModelsEfficient Language Model Reasoning

    Yang · 2UNC Chapel Hill · 1Meta AI

  58. GR2 Technical Report

    Jun 30, 2026Yufei Li, Zaiwei Zhang, Mingfu Liang +68RL for Language ModelsLLM Reranking

  59. ShopX: A Foundation Model for Intent-to-Item Fulfillment in Agentic Shopping

    Jun 30, 2026Jiacheng Chen, Tao Zhang, Manxi Lin +26Large Language Model-Based RecommendationE-Commerce

    Alibaba Taobao & Tmall Group

  60. Beyond expert users: agents should help users construct preferences, not just elicit them

    Jun 29, 2026Irena Saracay, Ludwig Schmidt, Carlos GuestrinAI Agent BenchmarksRecommender Systems

    Stanford University