{"total":111,"rows":[{"id":"2305.19860","title":"A Survey on Large Language Models for Recommendation","created":"2023-05-31","cited_by_count":379,"area":null},{"id":"2305.08845","title":"Large Language Models are Zero-Shot Rankers for Recommender Systems","created":"2023-05-15","cited_by_count":309,"area":null},{"id":"2305.05065","title":"Recommender Systems with Generative Retrieval","created":"2023-05-08","cited_by_count":198,"area":null},{"id":"2307.02046","title":"Recommender Systems in the Era of Large Language Models (LLMs)","created":"2023-07-05","cited_by_count":189,"area":null},{"id":"2402.17152","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","created":"2024-02-27","cited_by_count":188,"area":null},{"id":"2305.07001","title":"Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach","created":"2023-05-11","cited_by_count":168,"area":null},{"id":"2306.05817","title":"How Can Recommender Systems Benefit from Large Language Models: A Survey","created":"2023-06-09","cited_by_count":142,"area":null},{"id":"2308.10053","title":"Large Language Models as Zero-Shot Conversational Recommenders","created":"2023-08-19","cited_by_count":127,"area":null},{"id":"2305.06474","title":"Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction","created":"2023-05-10","cited_by_count":116,"area":null},{"id":"2210.12316","title":"Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders","created":"2022-10-22","cited_by_count":112,"area":null},{"id":"2305.06569","title":"How to Index Item IDs for Recommendation Foundation Models","created":"2023-05-11","cited_by_count":102,"area":null},{"id":"2305.07622","title":"PALR: Personalization Aware LLMs for Recommendation","created":"2023-05-12","cited_by_count":96,"area":null},{"id":"2307.16376","title":"When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities","created":"2023-07-31","cited_by_count":90,"area":null},{"id":"2308.11131","title":"ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","created":"2023-08-22","cited_by_count":77,"area":null},{"id":"2309.01157","title":"Large Language Models for Generative Recommendation: A Survey and Visionary Discussions","created":"2023-09-03","cited_by_count":73,"area":null},{"id":"2409.12740","title":"HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling","created":"2024-09-19","cited_by_count":63,"area":null},{"id":"2404.00579","title":"A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)","created":"2024-03-31","cited_by_count":58,"area":null},{"id":"2310.00492","title":"From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning","created":"2023-09-30","cited_by_count":56,"area":null},{"id":"2304.03153","title":"Zero-Shot Next-Item Recommendation using Large Pretrained Language Models","created":"2023-04-06","cited_by_count":53,"area":null},{"id":"2403.19021","title":"IDGenRec: LLM-RecSys Alignment with Textual ID Learning","created":"2024-03-27","cited_by_count":53,"area":null},{"id":"2305.14302","title":"VIP5: Towards Multimodal Foundation Models for Recommendation","created":"2023-05-23","cited_by_count":46,"area":null},{"id":"2403.08946","title":"Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era","created":"2024-03-13","cited_by_count":46,"area":null},{"id":"2307.05722","title":"Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations","created":"2023-07-10","cited_by_count":45,"area":null},{"id":"2305.12090","title":"UP5: Unbiased Foundation Model for Fairness-aware Recommendation","created":"2023-05-20","cited_by_count":38,"area":null},{"id":"2503.24289","title":"Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning","created":"2025-03-31","cited_by_count":33,"area":null},{"id":"2209.10117","title":"A Comprehensive Survey on Trustworthy Recommender Systems","created":"2022-09-21","cited_by_count":32,"area":null},{"id":"2308.12241","title":"LLMRec: Benchmarking Large Language Models on Recommendation Task","created":"2023-08-23","cited_by_count":30,"area":null},{"id":"2403.02990","title":"Data Augmentation using Large Language Models: Data Perspectives, Learning Paradigms and Challenges","created":"2024-03-05","cited_by_count":30,"area":null},{"id":"2310.09234","title":"ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction","created":"2023-10-13","cited_by_count":27,"area":null},{"id":"2404.02059","title":"IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT","created":"2024-04-02","cited_by_count":26,"area":null},{"id":"2305.09858","title":"Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs","created":"2023-05-17","cited_by_count":24,"area":null},{"id":"2403.19347","title":"Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors","created":"2024-03-28","cited_by_count":23,"area":null},{"id":"2309.03613","title":"Evaluating ChatGPT as a Recommender System: A Rigorous Approach","created":"2023-09-07","cited_by_count":20,"area":null},{"id":"2403.00781","title":"ChatDiet: Empowering Personalized Nutrition-Oriented Food Recommender Chatbots through an LLM-Augmented Framework","created":"2024-02-18","cited_by_count":20,"area":null},{"id":"2401.11506","title":"Enhancing Recommendation Diversity by Re-ranking with Large Language Models","created":"2024-01-21","cited_by_count":19,"area":null},{"id":"2402.14836","title":"Stealthy Attack on Large Language Model based Recommendation","created":"2024-02-18","cited_by_count":19,"area":null},{"id":"2404.08677","title":"PMG : Personalized Multimodal Generation with Large Language Models","created":"2024-04-07","cited_by_count":19,"area":null},{"id":"2406.12529","title":"LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation","created":"2024-06-18","cited_by_count":19,"area":null},{"id":"2312.15661","title":"Unlocking the Potential of Large Language Models for Explainable Recommendations","created":"2023-12-25","cited_by_count":18,"area":null},{"id":"2407.05441","title":"Language Representations Can be What Recommenders Need: Findings and Potentials","created":"2024-07-07","cited_by_count":18,"area":null},{"id":"2311.10779","title":"Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations","created":"2023-11-16","cited_by_count":16,"area":null},{"id":"2306.17256","title":"Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendations","created":"2023-06-29","cited_by_count":15,"area":null},{"id":"2404.16924","title":"A Survey of Generative Search and Recommendation in the Era of Large Language Models","created":"2024-04-25","cited_by_count":15,"area":null},{"id":"2306.12680","title":"Recent Developments in Recommender Systems: A Survey","created":"2023-06-22","cited_by_count":14,"area":null},{"id":"2308.08459","title":"Knowledge Prompt-tuning for Sequential Recommendation","created":"2023-08-14","cited_by_count":12,"area":null},{"id":"2309.08939","title":"An Unified Search and Recommendation Foundation Model for Cold-Start Scenario","created":"2023-09-16","cited_by_count":12,"area":null},{"id":"2501.17630","title":"Uncertainty Quantification and Decomposition for LLM-based Recommendation","created":"2025-01-29","cited_by_count":12,"area":null},{"id":"2504.05314","title":"Multimodal Quantitative Language for Generative Recommendation","created":"2025-02-20","cited_by_count":12,"area":null},{"id":"2310.19453","title":"FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction","created":"2023-10-30","cited_by_count":11,"area":null},{"id":"2312.16199","title":"Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns","created":"2023-12-23","cited_by_count":11,"area":null},{"id":"2303.07275","title":"A Survey of Graph Prompting Methods: Techniques, Applications, and Challenges","created":"2023-03-13","cited_by_count":10,"area":null},{"id":"2405.12119","title":"Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation","created":"2024-05-20","cited_by_count":10,"area":null},{"id":"2410.12228","title":"Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations","created":"2024-10-16","cited_by_count":9,"area":null},{"id":"2305.14449","title":"Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding","created":"2023-05-23","cited_by_count":8,"area":null},{"id":"2507.12704","title":"PinFM: Foundation Model for User Activity Sequences at a Billion-scale Visual Discovery Platform","created":"2025-07-17","cited_by_count":8,"area":null},{"id":"2402.04527","title":"RA-Rec: An Efficient ID Representation Alignment Framework for LLM-based Recommendation","created":"2024-02-07","cited_by_count":7,"area":null},{"id":"2408.10645","title":"CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation","created":"2024-08-20","cited_by_count":7,"area":null},{"id":"2411.02992","title":"Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation","created":"2024-11-05","cited_by_count":7,"area":null},{"id":"2402.10555","title":"SPAR: Personalized Content-Based Recommendation via Long Engagement Attention","created":"2024-02-16","cited_by_count":6,"area":null},{"id":"2408.11523","title":"LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding","created":"2024-08-21","cited_by_count":6,"area":null},{"id":"2502.14735","title":"EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration","created":"2025-02-20","cited_by_count":6,"area":null},{"id":"2503.15990","title":"ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph","created":"2025-03-20","cited_by_count":6,"area":null},{"id":"2406.13235","title":"Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning","created":"2024-06-19","cited_by_count":5,"area":null},{"id":"2309.10435","title":"Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling","created":"2023-09-19","cited_by_count":4,"area":null},{"id":"2310.13286","title":"Unified Pretraining for Recommendation via Task Hypergraphs","created":"2023-10-20","cited_by_count":4,"area":null},{"id":"2402.00284","title":"PAP-REC: Personalized Automatic Prompt for Recommendation Language Model","created":"2024-02-01","cited_by_count":4,"area":null},{"id":"2409.06377","title":"MoRE: A Mixture of Reflectors Framework for Large Language Model-Based Sequential Recommendation","created":"2024-09-10","cited_by_count":4,"area":null},{"id":"2505.14057","title":"Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction","created":"2025-05-20","cited_by_count":4,"area":null},{"id":"2508.03668","title":"CTR-Sink: Attention Sink for Language Models in Click-Through Rate Prediction","created":"2025-08-05","cited_by_count":4,"area":null},{"id":"2308.08483","title":"TBIN: Modeling Long Textual Behavior Data for CTR Prediction","created":"2023-08-09","cited_by_count":3,"area":null},{"id":"2402.13840","title":"Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation","created":"2024-02-21","cited_by_count":3,"area":null},{"id":"2406.02368","title":"Large Language Models Make Sample-Efficient Recommender Systems","created":"2024-06-04","cited_by_count":3,"area":null},{"id":"2406.06475","title":"Survey for Landing Generative AI in Social and E-commerce Recsys -- the Industry Perspectives","created":"2024-06-10","cited_by_count":3,"area":null},{"id":"2411.18262","title":"Break the ID-Language Barrier: An Adaption Framework for LLM-based Sequential Recommendation","created":"2024-11-27","cited_by_count":3,"area":null},{"id":"2505.21811","title":"Revisiting Self-attention for Cross-domain Sequential Recommendation","created":"2025-05-27","cited_by_count":3,"area":null},{"id":"2511.15122","title":"Multi-Aspect Cross-modal Quantization for Generative Recommendation","created":"2025-11-19","cited_by_count":3,"area":null},{"id":"2212.03760","title":"Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning","created":"2022-12-07","cited_by_count":2,"area":null},{"id":"2406.12243","title":"CherryRec: Enhancing News Recommendation Quality via LLM-driven Framework","created":"2024-06-18","cited_by_count":2,"area":null},{"id":"2408.08686","title":"MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender","created":"2024-08-16","cited_by_count":2,"area":null},{"id":"2411.02041","title":"Enhancing ID-based Recommendation with Large Language Models","created":"2024-11-04","cited_by_count":2,"area":null},{"id":"2505.10940","title":"Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation","created":"2025-05-16","cited_by_count":2,"area":null},{"id":"2509.03131","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","created":"2025-09-03","cited_by_count":2,"area":null},{"id":"2509.23242","title":"TATTOO: Training-free AesTheTic-aware Outfit recOmmendation","created":"2025-09-27","cited_by_count":2,"area":null},{"id":"2601.04690","title":"Do LLMs Benefit from User and Item Embeddings in Recommendation Tasks?","created":"2026-01-08","cited_by_count":2,"area":null},{"id":"2312.14406","title":"Generative Pretraining at Scale: Transformer-Based Encoding of Transactional Behavior for Fraud Detection","created":"2023-12-22","cited_by_count":1,"area":null},{"id":"2402.05941","title":"Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs","created":"2024-02-02","cited_by_count":1,"area":null},{"id":"2407.21191","title":"GenRec: Generative Sequential Recommendation with Large Language Models","created":"2024-07-30","cited_by_count":1,"area":null},{"id":"2409.08543","title":"ATFLRec: A Multimodal Recommender System with Audio-Text Fusion and Low-Rank Adaptation via Instruction-Tuned Large Language Model","created":"2024-09-13","cited_by_count":1,"area":null},{"id":"2412.16933","title":"Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models","created":"2024-12-22","cited_by_count":1,"area":null},{"id":"2412.19312","title":"From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language Queries","created":"2024-12-26","cited_by_count":1,"area":null},{"id":"2505.04948","title":"Prompt-Based LLMs for Position Bias-Aware Reranking in Personalized Recommendations","created":"2025-05-08","cited_by_count":1,"area":null},{"id":"2508.15262","title":"M-$LLM^3$REC: A Motivation-Aware User-Item Interaction Framework for Enhancing Recommendation Accuracy with LLMs","created":"2025-08-21","cited_by_count":1,"area":null},{"id":"2601.22925","title":"BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models","created":"2026-01-30","cited_by_count":1,"area":null},{"id":"2604.12096","title":"LLM-HYPER: Generative CTR Modeling for Cold-Start Ad Personalization via LLM-Based Hypernetworks","created":"2026-04-13","cited_by_count":1,"area":null},{"id":"2605.29500","title":"Quotient DAGs for Off-Policy Evaluation:Forward-Flow Importance Sampling and Exact Slate Propensities","created":"2026-05-28","cited_by_count":1,"area":null},{"id":"2607.25366","title":"Sharpness-aware Model Merging with Salience Recovery for LLM-based Cross-Domain Sequential Recommendation","created":"2026-07-28","cited_by_count":1,"area":null},{"id":"2608.29179","title":"History-Conditioned Joint-Prefix Alignment for Generative Recommendation","created":"2026-08-29","cited_by_count":1,"area":null},{"id":"2609.04738","title":"Aplaud: Adaptive Personalized Low-Rank Decomposition for User-Specific LLM","created":"2026-09-04","cited_by_count":1,"area":null},{"id":"2309.03645","title":"VideolandGPT: A User Study on a Conversational Recommender System","created":"2023-09-07","cited_by_count":0,"area":null},{"id":"2403.00861","title":"Pivoting Retail Supply Chain with Deep Generative Techniques: Taxonomy, Survey and Insights","created":"2024-02-29","cited_by_count":0,"area":null}],"next_cursor":"100"}