{"total":168,"rows":[{"id":"2305.19860","title":"A Survey on Large Language Models for Recommendation","created":"2023-05-31","cited_by_count":379,"area":null},{"id":"2308.07107","title":"Large Language Models for Information Retrieval: A Survey","created":"2023-08-14","cited_by_count":331,"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":"2402.13116","title":"A Survey on Knowledge Distillation of Large Language Models","created":"2024-02-20","cited_by_count":284,"area":"distill"},{"id":"2307.03393","title":"Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs","created":"2023-07-07","cited_by_count":274,"area":null},{"id":"2406.01171","title":"Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization","created":"2024-06-03","cited_by_count":208,"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":"2310.15950","title":"Representation Learning with Large Language Models for Recommendation","created":"2023-10-24","cited_by_count":155,"area":null},{"id":"2310.09751","title":"UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting","created":"2023-10-15","cited_by_count":144,"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":"2310.09233","title":"AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems","created":"2023-10-13","cited_by_count":116,"area":"agents"},{"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":"2307.15780","title":"LLM-Rec: Personalized Recommendation via Prompting Large Language Models","created":"2023-07-24","cited_by_count":77,"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":"2409.14924","title":"Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely","created":"2024-09-23","cited_by_count":66,"area":"rag"},{"id":"2406.09215","title":"On Softmax Direct Preference Optimization for Recommendation","created":"2024-06-13","cited_by_count":64,"area":"alignment"},{"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":"2311.16153","title":"Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications","created":"2023-11-07","cited_by_count":54,"area":null},{"id":"2311.02089","title":"LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking","created":"2023-10-25","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":"2305.13112","title":"Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models","created":"2023-05-22","cited_by_count":48,"area":"lr"},{"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":"2403.01131","title":"LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation","created":"2024-03-02","cited_by_count":45,"area":null},{"id":"2307.09688","title":"Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation","created":"2023-07-19","cited_by_count":42,"area":null},{"id":"2306.05212","title":"RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit","created":"2023-06-08","cited_by_count":40,"area":"rag"},{"id":"2312.02443","title":"E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential Recommendation","created":"2023-12-05","cited_by_count":39,"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":"2408.10159","title":"Customizing Language Models with Instance-wise LoRA for Sequential Recommendation","created":"2024-08-19","cited_by_count":32,"area":"moe"},{"id":"2308.06212","title":"A Large Language Model Enhanced Conversational Recommender System","created":"2023-08-11","cited_by_count":31,"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":"2311.06503","title":"Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering","created":"2023-11-11","cited_by_count":29,"area":"alignment"},{"id":"2408.00802","title":"Leveraging LLM Reasoning Enhances Personalized Recommender Systems","created":"2024-07-22","cited_by_count":28,"area":"lr"},{"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":"2402.09543","title":"Rethinking Large Language Model Architectures for Sequential Recommendations","created":"2024-02-14","cited_by_count":27,"area":"lr"},{"id":"2402.02803","title":"Large Language Model Distilling Medication Recommendation Model","created":"2024-02-05","cited_by_count":26,"area":null},{"id":"2403.04260","title":"Can Small Language Models be Good Reasoners for Sequential Recommendation?","created":"2024-03-07","cited_by_count":26,"area":"lr"},{"id":"2410.19744","title":"Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond","created":"2024-10-10","cited_by_count":26,"area":"lr"},{"id":"2405.02429","title":"CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation","created":"2024-05-03","cited_by_count":24,"area":null},{"id":"2403.02613","title":"Large Language Models and Video Games: A Preliminary Scoping Review","created":"2024-03-05","cited_by_count":23,"area":null},{"id":"2405.10587","title":"RDRec: Rationale Distillation for LLM-based Recommendation","created":"2024-05-17","cited_by_count":22,"area":null},{"id":"2403.04204","title":"On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models","created":"2024-03-07","cited_by_count":21,"area":"alignment"},{"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":"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":"2402.14836","title":"Stealthy Attack on Large Language Model based Recommendation","created":"2024-02-18","cited_by_count":19,"area":null},{"id":"2402.18240","title":"Prospect Personalized Recommendation on Large Language Model-based Agent Platform","created":"2024-02-28","cited_by_count":19,"area":"agents"},{"id":"2403.05063","title":"Aligning Large Language Models for Controllable Recommendations","created":"2024-03-08","cited_by_count":19,"area":"alignment"},{"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":"2509.10397","title":"RecoWorld: Building Simulated Environments for Agentic Recommender Systems","created":"2025-09-12","cited_by_count":19,"area":"agents"},{"id":"2312.11518","title":"User Modeling in the Era of Large Language Models: Current Research and Future Directions","created":"2023-12-11","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":"2311.10779","title":"Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations","created":"2023-11-16","cited_by_count":16,"area":null},{"id":"2403.03536","title":"Towards Efficient and Effective Unlearning of Large Language Models for Recommendation","created":"2024-03-06","cited_by_count":16,"area":"safety"},{"id":"2403.04256","title":"Federated Recommendation via Hybrid Retrieval Augmented Generation","created":"2024-03-07","cited_by_count":16,"area":"rag"},{"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":"2501.05647","title":"Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation","created":"2025-01-10","cited_by_count":15,"area":null},{"id":"2311.10947","title":"RecExplainer: Aligning Large Language Models for Explaining Recommendation Models","created":"2023-11-18","cited_by_count":14,"area":"alignment"},{"id":"2406.12844","title":"Synergizing Foundation Models and Federated Learning: A Survey","created":"2024-06-18","cited_by_count":14,"area":null},{"id":"2307.02157","title":"Generative Job Recommendations with Large Language Model","created":"2023-07-05","cited_by_count":13,"area":null},{"id":"2402.18590","title":"Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review","created":"2024-02-11","cited_by_count":12,"area":"lr"},{"id":"2504.05314","title":"Multimodal Quantitative Language for Generative Recommendation","created":"2025-02-20","cited_by_count":12,"area":null},{"id":"2404.11773","title":"Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommender Systems","created":"2024-04-17","cited_by_count":11,"area":"alignment"},{"id":"2504.09627","title":"Slow Thinking for Sequential Recommendation","created":"2025-04-13","cited_by_count":11,"area":"lr"},{"id":"2511.22707","title":"CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation","created":"2025-11-27","cited_by_count":11,"area":null},{"id":"2308.11336","title":"On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems","created":"2023-08-22","cited_by_count":10,"area":"offlinerl"},{"id":"2402.08859","title":"Large Language Model with Graph Convolution for Recommendation","created":"2024-02-14","cited_by_count":10,"area":null},{"id":"2408.08208","title":"LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation","created":"2024-08-15","cited_by_count":10,"area":null},{"id":"2411.00308","title":"GPT for Games: An Updated Scoping Review (2020-2024)","created":"2024-11-01","cited_by_count":10,"area":null},{"id":"2502.14541","title":"LLM-based User Profile Management for Recommender System","created":"2025-02-20","cited_by_count":10,"area":null},{"id":"2505.03824","title":"Memory Assisted LLM for Personalized Recommendation System","created":"2025-05-03","cited_by_count":9,"area":null},{"id":"2511.01268","title":"Rescuing the Unpoisoned: Efficient Defense against Knowledge Corruption Attacks on RAG Systems","created":"2025-11-03","cited_by_count":9,"area":"rag"},{"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":"2312.16262","title":"Adaptive In-Context Learning with Large Language Models for Bundle Generation","created":"2023-12-26","cited_by_count":8,"area":null},{"id":"2407.09281","title":"Predicting and Understanding Human Action Decisions: Insights from Large Language Models and Cognitive Instance-Based Learning","created":"2024-07-12","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":"2410.22809","title":"Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation","created":"2024-10-30","cited_by_count":8,"area":null},{"id":"2505.04072","title":"Advancing and Benchmarking Personalized Tool Invocation for LLMs","created":"2025-05-07","cited_by_count":8,"area":null},{"id":"2403.08607","title":"MedInsight: A Multi-Source Context Augmentation Framework for Generating Patient-Centric Medical Responses using Large Language Models","created":"2024-03-13","cited_by_count":7,"area":null},{"id":"2410.15252","title":"Lossless KV Cache Compression to 2%","created":"2024-10-20","cited_by_count":7,"area":"inference"},{"id":"2412.18176","title":"Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation","created":"2024-12-24","cited_by_count":7,"area":"mllm"},{"id":"2508.15388","title":"TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation","created":"2025-08-21","cited_by_count":7,"area":"lr"},{"id":"2404.03354","title":"A Comprehensive Survey on Self-Supervised Learning for Recommendation","created":"2024-04-04","cited_by_count":6,"area":null},{"id":"2408.09815","title":"A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction","created":"2024-08-19","cited_by_count":6,"area":null},{"id":"2505.03336","title":"Eliminating Out-of-Domain Recommendations in LLM-based Recommender Systems: A Unified View","created":"2025-05-06","cited_by_count":6,"area":null},{"id":"2505.13176","title":"ToolSpectrum : Towards Personalized Tool Utilization for Large Language Models","created":"2025-05-19","cited_by_count":6,"area":null},{"id":"2510.14420","title":"Instructions are all you need: Self-supervised Reinforcement Learning for Instruction Following","created":"2025-10-16","cited_by_count":6,"area":"lr"},{"id":"2412.06949","title":"Bridging Conversational and Collaborative Signals for Conversational Recommendation","created":"2024-12-09","cited_by_count":5,"area":null},{"id":"2506.13229","title":"IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation","created":"2025-06-16","cited_by_count":5,"area":null},{"id":"2605.14401","title":"Agentic Recommender System with Hierarchical Belief-State Memory","created":"2026-05-14","cited_by_count":5,"area":"agents"},{"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":"2402.16539","title":"Integrating Large Language Models with Graphical Session-Based Recommendation","created":"2024-02-26","cited_by_count":4,"area":null},{"id":"2404.04522","title":"Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models","created":"2024-04-06","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":"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":"2510.08942","title":"SOP-Maze: Evaluating Large Language Models on Complicated Business Standard Operating Procedures","created":"2025-10-10","cited_by_count":4,"area":null},{"id":"2406.02368","title":"Large Language Models Make Sample-Efficient Recommender Systems","created":"2024-06-04","cited_by_count":3,"area":null}],"next_cursor":"100"}