Generative Recommendation

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12 papers in the last four weeks, up 200% on the four weeks before. 0.1% of all new papers.

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  1. Training with Missed Targets in Generative Recommendation: Separating Supervision from Probability Competition

    Oct 7, 2026Xuesi Wang, Yangbin Shi, Xiaolin ZhengGenerative RecommendationLearning to Rank

    Independent Researcher Shanghai, China · Zhejiang University Hangzhou, China

  2. Neither Black nor White: Balancing Semantic and Collaborative Signals with Graph-Informed Semantic IDs (GrIS)

    Oct 1, 2026Aleksei Medvedev, Alejandro Ariza-Casabona, Steven Derby +3Semantic ID RecommendationGraph Clustering

    Huawei Ireland Research Centre Dublin, Ireland

  3. When More Data Is Not Enough: The Context-Sufficiency Frontier in Generative AI Personalization

    Sep 30, 2026Merieme Askour, Ayoub MerimiGenerative Recommendation

  4. FineSID: Scalable and Efficient Semantic Identifier Learning for Generative Recommendation

    Sep 29, 2026Song-Li Wu, Weinan Gan, Zhaocheng Du +2Semantic ID RecommendationVector Quantization

    Tsinghua University · Huawei Noah’s Ark Lab · University of Science and Technology of China

  5. From Interests to Semantic IDs: Retrieval-Grounded Credit Assignment for Generative Recommendation

    Sep 24, 2026Mengdan Zhu, Yufan Zhao, Yao Zhao +5Semantic ID RecommendationCredit Assignment

    Emory University Atlanta, GA, USA · Microsoft Redmond, WA, USA · Cornell University Ithaca, NY, USA

  6. Learning Better Reasoning for Generative Recommendation with Semantic IDs

    Sep 24, 2026Mengdan Zhu, Yufan Zhao, Sophie Di +5Semantic ID RecommendationSequential Recommendation

    Emory University Atlanta, GA, USA · Microsoft Redmond, WA, USA · Cornell University Ithaca, NY, USA

  7. Cross-Country Code-Mixing for Generative Recommendation

    Sep 24, 2026Yuan Gao, Hao Deng, Haibo Xing +5Cross-Domain Transfer LearningGenerative Recommendation

    Alibaba International Digital Commerce Group Beijing, China · Alibaba International Digital Commerce Group Hangzhou, China

  8. "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

  9. Generative Query Suggestion via Intent Coverage and Query-Level Credit Assignment

    Sep 16, 2026Xinpeng Liu, Lu Ma, Jiayi Qiao +6Generative Recommendation

    Peking University · Qwen Business Unit of Alibaba · National University of Singapore +1

  10. LIGE-GR: A Smooth Leap from Ranking to Generative Recommendation in the LLM Era

    Sep 16, 2026Venkat Srinivas, Chenzhang He, Sam Woodmansee +63Learning to RankRecommender Systems

  11. 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

  12. 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

  13. OneLA: Scaling Linear-Attention Decoding to Large Beams in Generative Recommendation

    Sep 14, 2026Xiangrui Yang, Cheng Peng, Yunfeng Zhao +9Linear AttentionAutoregressive Decoding

    Kuaishou Technology China · Peking University China

  14. FSGR: Mitigating Token Frequency Bias for Fair SID-Based Generative Recommendation

    Aug 13, 2026Yuchen Zheng, Sihan Xu, Jingwen Yang +3Algorithmic FairnessGenerative Recommendation

    1VCIP, TMCC, DISSec, College of Computer Science, Nankai University · 2VCIP, DISSec, College of Cryptology and Cyber Science, Nankai University

  15. HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs

    Aug 12, 2026Kangning Zhang, Haotian Fang, Xukun Luo +6Sequential RecommendationRecommender Systems

    Shanghai Jiao Tong University Shanghai, China · Mei Tuan Beijing, China

  16. FedCGR: Federated Cross-Domain Generative Recommendation

    Aug 11, 2026Zhuodong Liu, Hugen Lv, Xiangyu Li +2Recommender SystemsGenerative Recommendation

    Beijing Jiaotong University China · Shanghai Jiao Tong University China · University of Malaya Malaysia +1

  17. Adaptive Semantic Capacity Allocation for Parallel Generative Recommendation

    Aug 10, 2026Chenxi Li, Yuchen Lu, Xu YangSemantic ID RecommendationGenerative Recommendation

    University of the Chinese Academy of Sciences · Institute of Automation, Chinese Academy of Sciences

  18. 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

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

    Aug 5, 2026Kadharmoideen FadurudeenLLM AgentsRecommender Systems

    Independent Researcher

  20. 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

  21. 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

  22. TopoGR: Revealing and Preserving Latent Structure of Semantic ID in Generative Recommendation

    Jul 28, 2026Ziyu Zheng, Zhengshun Du, Yaming Yang +5Semantic ID RecommendationRecommender Systems

    Xidian University, Xi’an, China · Alibaba Beijing, China · University of Science and Technology of China Hefei, China

  23. 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

  24. Understanding Semantic IDs: From Item Representation to Item Selection in Generative Recommendation

    Jul 27, 2026Junting Wang, Xinrui He, Yunzhe Li +1Semantic ID RecommendationLanguage Model Decoding

    University of Illinois Urbana-Champaign Urbana, Illinois, USA

  25. Escaping the Euclidean Void: Manifold-Informed Flow Matching for Sequential Recommendation

    Jul 26, 2026Dengzhao Fang, Jingtong Gao, Yu Li +2Flow MatchingSequential Recommendation

    Jilin University · City University of Hong Kong

  26. Can Generative Recommendation Reach Cold Items? A Temporal Perspective on Semantic-ID Generation

    Jul 23, 2026Jie Peng, Yanping Zheng, Zhewei Zhe +3Semantic ID RecommendationSequential Recommendation

    Renmin University of China · Beijing, China · Alibaba

  27. Empowering Cross-Domain Sequential Recommendation with Hybrid Tokenization and Serial-Parallel Decoding

    Jul 21, 2026Yuxuan Hu, Yuhao Wang, Tianbo Huang +4Sequential RecommendationParallel Decoding

    City University of Hong Kong · Hong Kong, China · ByteDance Inc. +1

  28. GR2 Technical Report

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

  29. 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

  30. Structuring and Tokenizing Distributed User Interest Context for Generative Recommendation

    Jun 18, 2026Ruizhong Qiu, Yinglong Xia, Dongqi Fu +6Sequential RecommendationUser Modeling

    University of Illinois Urbana–Champaign · 2Meta MRS

  31. On the Memorization Behavior of LLMs in Generative Recommendation: Observations, Implications, and Training Strategies

    Jun 15, 2026Sunwoo Kim, Sunkyung Lee, Clark Mingxuan Ju +5Sequential RecommendationMemorization in Language Models

    1KAIST · 2Sungkyunkwan University · 3Snap Inc.

  32. HoloRec: Holistic Encoding and Interleaved Reasoning for Generative Recommendation

    Jun 13, 2026Shuqi Zhao, Jingsong Su, Xiang Liu +9Hierarchical Representation LearningGenerative Recommendation

    Institute of Information Engineering, Chinese Academy of Sciences Beijing, China · School of Artificial Intelligence, Beijing Normal University Beijing, China · JD.com,Beijing,China

  33. ChronoID: Infusing Explicit Temporal Signals into Semantic IDs for Generative Recommendation

    Jun 12, 2026Dongdong Nian, Dongqi Fu, Chenliang Xu +4Semantic ID RecommendationSequential Recommendation

    University of Rochester · Meta MRS · MBZUAI

  34. Implicit Reasoning for Large Language Model-based Generative Recommendation

    Jun 12, 2026Yinhan He, Liam Collins, Bhuvesh Kumar +3Implicit Reasoning in Language ModelsLarge Language Model-Based Recommendation

    University of Virginia, Charlottesville, VA, USA · Snap Inc., Santa Monica, CA, USA

  35. One Polluted Page Is Enough: Evaluating Web Content Pollution in Generative Recommenders

    Jun 11, 2026Minghao Luo, Liang ChenLLM EvaluationRAG Security

    The Chinese University of Hong Kong

  36. DiffCold: A Diffusion-based Generative Model for Cold-Start Item Recommendation

    Jun 10, 2026Kangning Zhang, Yingjie Qin, Weinan Zhang +2Cold-Start RecommendationRecommender Systems

    Shanghai Jiao Tong University, Shanghai, China · Xiaohongshu Inc., Shanghai, China

  37. MetaPlate: Counterfactual-Guided RAG-LLM Tool for Personalized Food Recommendation and Hyperglycemia Prevention

    Jun 8, 2026Asiful Arefeen, Carol Johnston, Hassan GhasemzadehClinical Decision SupportGenerative Recommendation

    College of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA · School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ 85281, USA

  38. Adaptive Loss Balancing for Noise-Robust GRPO in Generative Recommendation

    Jun 7, 2026Kewei Xu, Junbo Qi, Yanyan Zou +3Group Relative Policy OptimizationRecommender Systems

    Waseda University Tokyo, Japan · University of Electronic Science and Technology of China Chengdu, China

  39. TRACER: Token ReAssignment for Concept ERasure in Generative Recommendation

    Jun 5, 2026Ziheng Chen, Jiali Cheng, Zezhong Fan +4Sequential RecommendationConcept Erasure

    Stony Brook University · University of Massachusetts Lowell · Columbia University +3

  40. OneReason Technical Report

    Jun 4, 2026OneRec Team, Biao Yang, Boyang Ding +81Sequential RecommendationCoT Reasoning

  41. Time-Aware Diffusion based on Preference Disentanglement for Generative Recommendation

    Jun 1, 2026Bangguo Zhu, Peng Huo, Yuanbo Zhao +3Sequential RecommendationRecommender Systems

    Central South University Changsha, China · National Super Computing Center Tianjin, China · Renmin University of China Beijing, China +1

  42. LLMs Need Encoders for Semantic IDs Too

    May 29, 2026Xiangyi Chen, Zelun Wang, Xinyi Li +3Memory-Augmented Language ModelsGenerative Recommendation

    Pinterest · United States

  43. Generative Spatiotemporal Intent Sequence Recommendation via Implicit Reasoning in Amap

    May 27, 2026Sicong Wang, Ruiting Dong, Yue Liu +7Spatiotemporal ReasoningCoT Distillation

    AMAP, Alibaba Group, Beijing, China

  44. DeGRe: Dense-supervised Generative Reranking for Recommendation

    May 25, 2026Chaotian Song, Jingyao Zhang, Chenghao Chen +6Learning to RankGenerative Recommendation

    College of Software, Zhejiang University Hangzhou, China · Rajax Network Technology, Taobao Shangou of Alibaba Hangzhou, China · Rajax Network Technology, Taobao Shangou of Alibaba Beijing, China +1

  45. Divergent Recommendations, Convergent Diagnoses: Cross-Provider Failure-Mode Convergence in AI Commercial Recommendation

    May 22, 2026Will Jack, Noah Lehman, Keller Maloney +1Generative Engine OptimizationLarge Language Model-Based Recommendation

    Unusual

  46. SynGR: Unleashing the Potential of Cross-Modal Synergy for Generative Recommendation

    May 18, 2026Wei Chen, Xingyu Guo, Shuang Li +6Recommender SystemsMultimodal Recommendation

    School of Artificial Intelligence, Beihang University, Beijing, China · School of Computer Science and Engineering, Beihang University, Beijing, China

  47. Learning Variable-Length Tokenization for Generative Recommendation

    May 18, 2026Minhao Wang, Bowen Wu, Wei ZhangResidual VQGenerative Recommendation

    East China Normal University · Shanghai, China · & Shanghai Innovation Institute

  48. SAPO: Step-Aligned Policy Optimization for Reasoning-Based Generative Recommendation

    May 17, 2026Zaiyi Zheng, Guanghui Min, Yaochen Zhu +4RL for Language Model ReasoningCredit Assignment in RL

    University of Virginia · 2Nokia

  49. Echoes in Filter Bubble: Diagnosing and Curing Popularity Bias in Generative Recommenders

    May 16, 2026Jun Yin, Bangguo Zhu, Peng Huo +5Recommender SystemsGenerative Recommendation

    School of Computer Science and Engineering, Central South University, Changsha, China · National Super Computing Center, Tianjin, China · Faculty of Data Science, City University of Macau, Macau, China +1

  50. Asymmetric Generative Recommendation via Multi-Expert Projection and Multi-Faceted Hierarchical Quantization

    May 14, 2026Bin Huang, Xin Wang, Junwei Pan +6Vector QuantizationRecommender Systems

    DCST, Tsinghua University Beijing, China · DCST, BNRist, Tsinghua University Beijing, China · Tencent Shenzhen, China

  51. TurboGR: An Accelerated Training System for Large-Scale Generative Recommendation

    May 13, 2026Huichao Chai, Zhixin Wu, Xuemiao Li +8Communication-Efficient Distributed TrainingGenerative Recommendation

    Huawei

  52. Why Users Go There: World Knowledge-Augmented Generative Next POI Recommendation

    May 12, 2026Qiuyu Ding, Heng-Da Xu, Wei Zhang +4Sequential RecommendationKnowledge Augmentation for Language Models

    Amap, Alibaba Group · Xi’an Jiaotong University

  53. Conditional Memory Enhanced Item Representation for Generative Recommendation

    May 12, 2026Ziwei Liu, Yejing Wang, Shengyu Zhou +2Semantic ID RecommendationRepresentation Learning

    City University of Hong Kong Hong Kong, China · Independent Researcher Beijing, China · Tsinghua University Beijing, China

  54. A Cascaded Generative Approach for e-Commerce Recommendations

    May 11, 2026Moein Hasani, Hamidreza Shahidi, Trace Levinson +4Recommender SystemsLarge Language Model-Based Recommendation

    Ambience Healthcare San Francisco, USA

  55. One Pool, Two Caches: Adaptive HBM Partitioning for Accelerating Generative Recommender Serving

    May 6, 2026Wenjun Yu, Shuguang Han, Amelie Chi ZhouLLM Inference EfficiencyGPU Acceleration

    Hong Kong Baptist University · Hong Kong, China · Alibaba Inc +1

  56. Position-Aware Drafting for Inference Acceleration in LLM-Based Generative List-Wise Recommendation

    Apr 30, 2026Jiaju Chen, Chongming Gao, Chenxiao Fan +4Speculative DecodingLLM Inference Acceleration

    University of Science and Technology of China, Hefei, China · Independent Researcher

  57. Action-Aware Generative Sequence Modeling for Short Video Recommendation

    Apr 28, 2026Wenhao Li, Zihan Lin, Zhengxiao Guo +7Sequential RecommendationUser Preference Modeling

    Kuaishou Inc. · Beijing, China · Unaffiliated +2

  58. Modeling Behavioral Intensity and Transitions for Generative Recommendation

    Apr 27, 2026Wenxuan Yang, Xiaoyang Xu, Hanyu Zhang +3Sequential RecommendationRecommender Systems

    Ant Group · Fudan University

  59. MTServe: Efficient Serving for Generative Recommendation Models with Hierarchical Caches

    Apr 24, 2026Xin Wang, Chi Ma, Shaobin Chen +14KV-Cache OffloadingKV Caching

    School of Computer Science, Wuhan University · Meituan · Nvidia

  60. GenRec: A Preference-Oriented Generative Framework for Large-Scale Recommendation

    Apr 16, 2026Yanyan Zou, Junbo Qi, Lunsong Huang +7Generative RetrievalRecommender Systems

    JD.com Beijing, China · Waseda University Tokyo, Japan