{"total":124,"rows":[{"id":"2307.03109","title":"A Survey on Evaluation of Large Language Models","created":"2023-07-06","cited_by_count":1242,"area":null},{"id":"2305.19860","title":"A Survey on Large Language Models for Recommendation","created":"2023-05-31","cited_by_count":379,"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":"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":"2310.15950","title":"Representation Learning with Large Language Models for Recommendation","created":"2023-10-24","cited_by_count":155,"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":"2305.07609","title":"Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation","created":"2023-05-12","cited_by_count":114,"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":"2406.09215","title":"On Softmax Direct Preference Optimization for Recommendation","created":"2024-06-13","cited_by_count":64,"area":"alignment"},{"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":"2403.19021","title":"IDGenRec: LLM-RecSys Alignment with Textual ID Learning","created":"2024-03-27","cited_by_count":53,"area":null},{"id":"2306.08121","title":"Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations","created":"2023-06-13","cited_by_count":52,"area":null},{"id":"2503.22675","title":"Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation","created":"2025-03-28","cited_by_count":51,"area":null},{"id":"2404.11343","title":"Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System","created":"2024-04-17","cited_by_count":50,"area":null},{"id":"2408.10159","title":"Customizing Language Models with Instance-wise LoRA for Sequential Recommendation","created":"2024-08-19","cited_by_count":32,"area":"moe"},{"id":"2308.11175","title":"MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation","created":"2023-08-22","cited_by_count":31,"area":null},{"id":"2402.09543","title":"Rethinking Large Language Model Architectures for Sequential Recommendations","created":"2024-02-14","cited_by_count":27,"area":"lr"},{"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":"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":"2407.19467","title":"Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights","created":"2024-07-28","cited_by_count":23,"area":null},{"id":"2405.03988","title":"LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application","created":"2024-05-07","cited_by_count":21,"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":"2506.21579","title":"LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation","created":"2025-06-16","cited_by_count":19,"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":"2502.13581","title":"ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation","created":"2025-02-19","cited_by_count":18,"area":null},{"id":"2408.03533","title":"Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation","created":"2024-08-07","cited_by_count":17,"area":"lr"},{"id":"2504.16420","title":"A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms","created":"2025-04-23","cited_by_count":17,"area":"agents"},{"id":"2410.20027","title":"Agentic Feedback Loop Modeling Improves Recommendation and User Simulation","created":"2024-10-26","cited_by_count":16,"area":"agents"},{"id":"2406.14043","title":"Taxonomy-Guided Zero-Shot Recommendations with LLMs","created":"2024-06-20","cited_by_count":15,"area":null},{"id":"2501.14269","title":"Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation","created":"2025-01-24","cited_by_count":15,"area":"moe"},{"id":"2306.14462","title":"Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation","created":"2023-06-26","cited_by_count":13,"area":null},{"id":"2403.00793","title":"Ads Recommendation in a Collapsed and Entangled World","created":"2024-02-22","cited_by_count":13,"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":"2308.14029","title":"Text Matching Improves Sequential Recommendation by Reducing Popularity Biases","created":"2023-08-27","cited_by_count":10,"area":null},{"id":"2408.08821","title":"EasyRec: Simple yet Effective Language Models for Recommendation","created":"2024-08-16","cited_by_count":10,"area":null},{"id":"2409.11690","title":"ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems","created":"2024-09-18","cited_by_count":10,"area":"agents"},{"id":"2508.15281","title":"MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation","created":"2025-08-21","cited_by_count":10,"area":null},{"id":"2509.21317","title":"Interactive Recommendation Agent with Active User Commands","created":"2025-09-25","cited_by_count":10,"area":null},{"id":"2602.12612","title":"Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional Feedback","created":"2026-02-13","cited_by_count":10,"area":"synth"},{"id":"2410.13117","title":"Preference Diffusion for Recommendation","created":"2024-10-17","cited_by_count":9,"area":null},{"id":"2502.12911","title":"Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation","created":"2025-02-18","cited_by_count":9,"area":null},{"id":"2310.17488","title":"LightLM: A Lightweight Deep and Narrow Language Model for Generative Recommendation","created":"2023-10-26","cited_by_count":8,"area":null},{"id":"2409.20052","title":"Mitigating Propensity Bias of Large Language Models for Recommender Systems","created":"2024-09-30","cited_by_count":8,"area":null},{"id":"2410.16458","title":"STAR: A Simple Training-free Approach for Recommendations using Large Language Models","created":"2024-10-21","cited_by_count":8,"area":null},{"id":"2410.13428","title":"Generate and Instantiate What You Prefer: Text-Guided Diffusion for Sequential Recommendation","created":"2024-10-17","cited_by_count":7,"area":"diffusion"},{"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":"2412.07585","title":"Scaling Sequential Recommendation Models with Transformers","created":"2024-12-10","cited_by_count":7,"area":null},{"id":"2503.01814","title":"LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation","created":"2025-03-03","cited_by_count":7,"area":null},{"id":"2505.09777","title":"A Survey on Large Language Models in Multimodal Recommender Systems","created":"2025-05-14","cited_by_count":7,"area":null},{"id":"2511.23021","title":"Masked Diffusion for Generative Recommendation","created":"2025-11-28","cited_by_count":7,"area":"diffusion"},{"id":"2404.00236","title":"Enhancing Content-based Recommendation via Large Language Model","created":"2024-03-30","cited_by_count":6,"area":null},{"id":"2404.12969","title":"Disentangling ID and Modality Effects for Session-based Recommendation","created":"2024-04-19","cited_by_count":6,"area":null},{"id":"2404.17273","title":"3SHNet: Boosting Image-Sentence Retrieval via Visual Semantic-Spatial Self-Highlighting","created":"2024-04-26","cited_by_count":6,"area":null},{"id":"2509.25522","title":"Understanding Generative Recommendation with Semantic IDs from a Model-scaling View","created":"2025-09-29","cited_by_count":6,"area":null},{"id":"2512.07216","title":"MUSE: A Simple Yet Effective Multimodal Search-Based Framework for Lifelong User Interest Modeling","created":"2025-12-08","cited_by_count":6,"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":"2311.07619","title":"Modeling User Viewing Flow Using Large Language Models for Article Recommendation","created":"2023-11-12","cited_by_count":4,"area":null},{"id":"2412.04107","title":"Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models","created":"2024-12-05","cited_by_count":4,"area":null},{"id":"2502.03041","title":"Large Language Model as Universal Retriever in Industrial-Scale Recommender System","created":"2025-02-05","cited_by_count":4,"area":null},{"id":"2504.08949","title":"Large Language Model Empowered Recommendation Meets All-domain Continual Pre-Training","created":"2025-04-11","cited_by_count":4,"area":null},{"id":"2504.16352","title":"Disentangling and Generating Modalities for Recommendation in Missing Modality Scenarios","created":"2025-04-23","cited_by_count":4,"area":null},{"id":"2311.05956","title":"ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation","created":"2023-11-10","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":"2506.19993","title":"CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems","created":"2025-06-24","cited_by_count":3,"area":null},{"id":"2507.06507","title":"GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models","created":"2025-07-09","cited_by_count":3,"area":"lr"},{"id":"2509.08829","title":"PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations?","created":"2025-08-20","cited_by_count":3,"area":null},{"id":"2306.05001","title":"COURIER: Contrastive User Intention Reconstruction for Large-Scale Visual Recommendation","created":"2023-06-08","cited_by_count":2,"area":null},{"id":"2408.05751","title":"Advancing Re-Ranking with Multimodal Fusion and Target-Oriented Auxiliary Tasks in E-Commerce Search","created":"2024-08-11","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":"2502.12945","title":"LLMPopcorn: Exploring LLMs as Assistants for Popular Micro-video Generation","created":"2025-02-18","cited_by_count":2,"area":null},{"id":"2506.10520","title":"Macro Graph of Experts for Billion-Scale Multi-Task Recommendation","created":"2025-06-12","cited_by_count":2,"area":null},{"id":"2507.05006","title":"Do We Really Need Specialization? Evaluating Generalist Text Embeddings for Zero-Shot Recommendation and Search","created":"2025-07-07","cited_by_count":2,"area":null},{"id":"2507.23209","title":"Not Just What, But When: Integrating Irregular Intervals to LLM for Sequential Recommendation","created":"2025-07-31","cited_by_count":2,"area":null},{"id":"2508.05993","title":"Efficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts","created":"2025-08-08","cited_by_count":2,"area":"moe"},{"id":"2509.02017","title":"Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs","created":"2025-09-02","cited_by_count":2,"area":null},{"id":"2509.23649","title":"From Past To Path: Masked History Learning for Next-Item Prediction in Generative Recommendation","created":"2025-09-28","cited_by_count":2,"area":null},{"id":"2602.11799","title":"Hi-SAM: A Hierarchical Structure-Aware Multi-modal Framework for Large-Scale Recommendation","created":"2026-02-12","cited_by_count":2,"area":null},{"id":"2402.08921","title":"Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation","created":"2024-02-14","cited_by_count":1,"area":null},{"id":"2402.17334","title":"BiVRec: Bidirectional View-based Multimodal Sequential Recommendation","created":"2024-02-27","cited_by_count":1,"area":null},{"id":"2404.19093","title":"Large Language Models as Conversational Movie Recommenders: A User Study","created":"2024-04-29","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":"2504.08786","title":"AdaptRec: A Self-Adaptive Framework for Sequential Recommendations with Large Language Models","created":"2025-04-06","cited_by_count":1,"area":null},{"id":"2504.10512","title":"JEPA4Rec: Learning Effective Language Representations for Sequential Recommendation via Joint Embedding Predictive Architecture","created":"2025-04-10","cited_by_count":1,"area":null},{"id":"2506.02261","title":"What Makes LLMs Effective Sequential Recommenders? A Study on Preference Intensity and Temporal Context","created":"2025-06-02","cited_by_count":1,"area":"alignment"},{"id":"2510.05125","title":"Catalog-Native LLM: Speaking Item-ID Dialect with Less Entanglement for Recommendation","created":"2025-09-30","cited_by_count":1,"area":"lr"},{"id":"2511.08181","title":"MARC: Multimodal and Multi-Task Agentic Retrieval-Augmented Generation for Cold-Start Recommender System","created":"2025-11-11","cited_by_count":1,"area":"lr"},{"id":"2511.18740","title":"Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation","created":"2025-11-24","cited_by_count":1,"area":"mllm"},{"id":"2602.05544","title":"Reasoning-guided Collaborative Filtering with Language Models for Explainable Recommendation","created":"2026-02-05","cited_by_count":1,"area":"lr"},{"id":"2606.28368","title":"EvoRec: Self Evolving Agentic Recommender Systems","created":"2026-06-15","cited_by_count":1,"area":"agents"},{"id":"2404.08796","title":"The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation","created":"2024-04-12","cited_by_count":0,"area":"lr"},{"id":"2408.10946","title":"Large Language Model Driven Recommendation","created":"2024-08-20","cited_by_count":0,"area":null},{"id":"2501.13344","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","created":"2025-01-23","cited_by_count":0,"area":null},{"id":"2502.20497","title":"Creator-Side Recommender System: Challenges, Designs, and Applications","created":"2025-02-25","cited_by_count":0,"area":null},{"id":"2506.23170","title":"Compositions of Variant Experts for Integrating Short-Term and Long-Term Preferences","created":"2025-06-29","cited_by_count":0,"area":null},{"id":"2507.05142","title":"GIST: Cross-Domain Click-Through Rate Prediction via Guided Content-Behavior Distillation","created":"2025-07-07","cited_by_count":0,"area":null}],"next_cursor":"100"}