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Period ending 2026-09-21

13 new papers

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  1. Beyond Accuracy: How Humans Evaluate Legally Correct but Socially Controversial Legal Advice from Machines

    Jul 6, 2026Benjamin Minhao Chen, Zhiyu LiLegal DomainHuman Judgment

  2. Bumblebee: Interleaved Mixed-Layer Building Blocks for Large-Scale Recommendation Systems

    Jul 6, 2026David Bauer, Cancan Zhang, Wenshun Liu +13Multimodal RecommendationSequence Modeling

  3. Toward Personalized Social Robots for Child Well-being: Data Requirement Principles from a Recommender-System Perspective

    Jul 6, 2026Jin Huang, Eric Nichols, Fethiye Irmak Dogan +1ChildrenProfile

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

    Jul 5, 2026Xinyu Lin, Yashar Deldjoo, Sunhao Dai +7Recommender SystemsAgentic Systems

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

    Jul 5, 2026Hongchen Li, Bohao Wang, Jingbang Chen +5RecommendationLarge Language Model Bias

  6. Challenges and Recommendations for LLM-as-a-Judge in Multilingual Settings and for Low-Resource Languages

    Jul 2, 2026A. Seza Doğruöz, Xixian Liao, Verena Blaschke +3Llm-As-A-JudgeLow-Resource Languages

  7. Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search

    Jul 1, 2026Longfeng Wu, Yao Zhou, Tong Zeng +5Recommender SystemsNeural Architecture Search

  8. PAPA: Online Personalized Active Preference Alignment

    Jul 1, 2026Anindya Sarkar, Nasik Muhammad Nafi, Isaac Lyngaas +2Preference AlignmentTraining-Free Reward Alignment

  9. Real-Time Hard Negative Sampling via LLM-based Clustering for Large-Scale Two-Tower Retrieval

    Jul 1, 2026Ivan Ji, Liuyi Hu, Harrison +6Large-Scale Recommendation SystemsReal-Time Systems

  10. Bayesian Best-Arm Identification with Abstention: A Polynomial-to-Exponential Phase Transition

    Jun 28, 2026Yuqi Huang, Yunlong Hou, Vincent Y. F. TanBayesianToken Budgets

  11. Fairness Attacks on Recommender Systems

    Jun 27, 2026Yanan Wang, Yong GeRecommender SystemsFairness-Aware Learning

  12. CMSL: Constructive Multi-Sequence Learning for Recommendation Systems

    Jun 26, 2026Zikun Cui, Renzhi Wu, Junjie Yang +10Multimodal RecommendationLarge-Scale Recommendation Systems

  13. Benchmarking Multi-Modal Graph-based Social Media Popularity Prediction

    Jun 25, 2026Utkarsh Sahu, Zhisheng Qi, Li Zhu +4PopularitySocial Media

  14. TokenMinds: Pretrained User Tokens and Embeddings for User Understanding in Large Recommender Systems

    Jun 23, 2026Qingyun Liu, Bo Yan, Yang Liu +15Large-Scale Recommendation SystemsRepresentation Quality

  15. Breaking the Filter Bubble: A Semantic Pareto-DQN Framework for Multi-Objective Recommendation

    Jun 23, 2026Cláudio Lúcio Do Val Lopes, Lucca Machado da Silva, André de Oliveira BrandãoLarge-Scale Recommendation SystemsRecommendation

  16. Beyond Satisfaction: Learning Associations Between Content, Reviews, and Well-Being

    Jun 22, 2026Aaron Marker, Joel Lehman, H. Andrew SchwartzReviewSequential Recommendation

  17. TailorMind: Towards Preference-Aligned Multimodal Content Generation

    Jun 22, 2026Hengji Zhou, Ye Liu, Yufeng Liu +3Multimodal GenerationPreference Alignment

  18. MORL-A2C: Multi-Objective Reinforcement Learning Reranker for Optimizing Healthiness in MOPI-HFRS

    Jun 22, 2026Aarya Vasantlal, Joshua Zolla, Chuxu ZhangNutrient ReasoningMultimodal Recommendation

  19. Who Owns the AI Recommendation? A Multi-Industry Empirical Map of Brand Category Ownership Across Large Language Models

    Jun 22, 2026Dmitrij ŻatuchinBrand PairsRecommendation

  20. The Pitfall of Scaling Up: Uncovering and Mitigating Popularity Bias Amplification in Scaling Transformer-based Recommenders

    Jun 20, 2026Weiqin Yang, Yue Pan, Chongming Gao +4Large-Scale Recommendation SystemsPopularity

  21. Memory Is No Longer a Bottleneck: Memory-Efficient Graph Filtering for Scalable Collaborative Filtering

    Jun 19, 2026Jin-Duk Park, Won-Yong ShinCollaborative FilteringSemantic Similarity Metrics

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

    Jun 18, 2026Ruizhong Qiu, Yinglong Xia, Dongqi Fu +6RecommendationTokenization

  23. Denoising Implicit Feedback for Cold-start Recommendation

    Jun 17, 2026Gaode Chen, Shicheng Wang, Shikun Li +8Recommender SystemsCold-Start

  24. SAERec: Constructing Fine-grained Interpretable Intents Priors via Sparse Autoencoders for Recommendation

    Jun 17, 2026Jiangnan Xia, Xuansheng Wu, Yu Yang +2RecommendationSequence Modeling

  25. Improving Medical Communication using Rubric-Guided Counterfactual Recommendations

    Jun 17, 2026Adrian Cosma, Nicoleta-Nina Basoc, Andrei Niculae +2Feedback LearningCommunication

  26. RankGraph-2: Lifecycle Co-Design for Billion-Node Graph Learning in Recommendation

    Jun 16, 2026Renzhi Wu, Zikun Cui, Junjie Yang +10Graph-Based RetrievalGraph Representation Learning

  27. Understanding LLMs in Title-Abstract Screening: From Disagreements to Recommendations

    Jun 16, 2026Mika Mäntylä, Patricia Matsubara, Katia Romero Felizardo +5Systematic ReviewInter-Rater Variability

  28. Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems

    Jun 16, 2026Xi Chu, Yupeng HouBrand PairsRecommendation

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

    Jun 15, 2026Sunwoo Kim, Sunkyung Lee, Clark Mingxuan Ju +5Large-Scale Recommendation SystemsRecommendation

  30. How Much Do Reviews Really Contribute? A Study on Text-Enriched Matrix Factorization for Recommendations

    Jun 15, 2026Eduardo Ferreira da Silva, Mayki dos Santos Oliveira, Joel Machado Pires Denis Dantas Boaventura +1RecommendationReview

  31. How Much Can We Trust LLM Search Agents? Measuring Endorsement Vulnerability to Web Content Manipulation

    Jun 15, 2026Yimeng Chen, Zhe Ren, Firas Laakom +3Search AgentsHigher Attack Success Rates

  32. Multimodal and Multiscale Spatial-Temporal Semantic Search and Recommendation with AI Foundation Models

    Jun 15, 2026Yuanyuan Tian, Wenwen Li, Xiao Chen +4Geospatial Foundation ModelsMultimodal Retrieval

  33. Whose hotel does the AI recommend? An algorithm audit of reputation signals in LLM-assisted hotel selection

    Jun 15, 2026Mirza Samad Ahmed Baig, Syeda Anshrah Gillani, Asher AliRecommendationMean Opinion Scores

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

    Jun 13, 2026Shuqi Zhao, Jingsong Su, Xiang Liu +9RecommendationChain-of-Thought Reasoning

  35. Policy Regret for Embedding Model Routing: Contextual Bandits with Low-Rank Experts

    Jun 12, 2026Yan Dai, Negin Golrezaei, Patrick JailletLarge-Scale Recommendation SystemsOptimal Bandit Algorithms

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

    Jun 12, 2026Dongdong Nian, Dongqi Fu, Chenliang Xu +4RecommendationChronos

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

    Jun 12, 2026Yinhan He, Liam Collins, Bhuvesh Kumar +3Large-Scale Recommendation SystemsRecommendation

  38. Mood-Aware Music Recommendation: Integrating User Affective Signals into Ranking Systems

    Jun 11, 2026Terence Zeng, Abhishek K. UmrawalCollaborative FilteringConversational Music Recommendation

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

    Jun 11, 2026Minghao Luo, Liang ChenSequential RecommendationFalsehood

  40. Generative Archetype-Grounded Item Representations for Sequential Recommendation

    Jun 9, 2026Yifan Li, Jiahong Liu, Xinni Zhang +5Sequential RecommendationSequence Modeling

  41. DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction

    Jun 8, 2026Reazul Hasan Russel, Mingwei Tang, Rostam Shirani +18Click-Through Rate PredictionLate-Stage Ranker

  42. ReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation

    Jun 8, 2026Yihua Zhang, Mingfu Liang, Jiyan Yang +11Multimodal ReasoningMultimodal Recommendation

  43. SafeGEO: Understanding Generative Engine Optimization Risks in Recommendation Agents

    Jun 8, 2026Qianfeng Wen, Yifan Simon Liu, Xin Liu +4RecommendationAgentic Commerce

  44. DBpedia-Enriched Company Representation for B2B Lead Recommendation

    Jun 8, 2026Yuyan Qian, Claude Montacie, Milan Stankovic +1Global EmbeddingsFunnel Efficiency

  45. The Injection Paradox: Brand-Level Suppression in Safety-Trained LLM Recommendations via RAG Context Injection

    Jun 8, 2026Hyunseok PaengLarge Language Model SafetyRecommendation

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

    Jun 7, 2026Kewei Xu, Junbo Qi, Yanyan Zou +3Reward GradientsGroup Relative Policy Optimization

  47. Bradley-Terry Rankings for Recommender Systems Across Dataset Taxonomies

    Jun 5, 2026Ekaterina Grishina, Stepan Kuznetsov, Askar Tsyganov +8Late-Stage RankerRanking

  48. PaperFlow: Profiling, Recommending, and Adapting Across Daily Paper Streams

    Jun 5, 2026Fuqiang Wang, Song Tan, Zheng Guo +8RecommendationHeadlines

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

    Jun 5, 2026Ziheng Chen, Jiali Cheng, Zezhong Fan +4Large-Scale Recommendation SystemsLarge Language Model Unlearning

  50. Mind the Gap: Bridging Behavioral Silos with LLMs in Multi-Vertical Recommendations

    Jun 4, 2026Nimesh Sinha, Raghav Saboo, Martin Wang +1RecommendationE-Commerce

  51. OneReason Technical Report

    Jun 4, 2026OneRec Team, Biao Yang, Boyang Ding +81RecommendationThinking

  52. Bridging the Semantic-Collaborative Gap: An Asymmetric Graph Architecture for Cold-Start Item Recommendation

    Jun 4, 2026Anh Truong, John Trenkle, Yuanbo Chen +4Multimodal RecommendationKnowledge Graph Completion

  53. QueryAgent-R1: Bridging Query Generation and Product Retrieval for E-Commerce Query Recommendation

    Jun 4, 2026Dike Sun, Zheng Zou, Jingtong Zang +3ProductsRecommendation

  54. SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks

    Jun 3, 2026Zhuang Zhuang, Zhipeng Wei, Ji Dai +4Recurrent StateLong-Term Memory

  55. Distributional Approximate Nearest Neighbour Search for Uncertainty-Aware Retrieval

    Jun 3, 2026Olivier JeunenRetrieval LayerApproximate Nearest-Neighbor Search

  56. Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation

    Jun 2, 2026Yuecheng Li, Zeyu Song, Jing Yao +3RecommendationIndustrial

  57. BAHSD: Bridging the Long-tail Gap via Adaptive Distillation in Black-box Sequential Recommendation

    Jun 2, 2026Xi Zhou, Famin Wu, Mingming Li +4Multimodal RecommendationRecommender Systems

  58. LLM-Assisted Reranking to Operationalize Nuanced Objectives in Recommender Systems

    Jun 1, 2026Amir Ghasemian, Homa Hosseinmardi, Upasana Dutta +1RecommendationIdeology

  59. Rank-Constrained Deep Matrix Completion for Group Recommendation

    Jun 1, 2026Mubaraka Sani Ibrahim, Lehel Csató, Isah Charles SaiduTensor CompletionRecommendation

  60. Breaking the Information Silo: Semantic Personas for Cross-Domain Recommendation

    Jun 1, 2026Jonathan Mayo, Moshe Unger, Konstantin BaumanMultimodal RecommendationPersonalization