{"total":964,"rows":[{"id":"2407.08608","title":"FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision","created":"2024-07-11","cited_by_count":519,"area":null},{"id":"2203.13366","title":"Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)","created":"2022-03-24","cited_by_count":402,"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":"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":"2308.14296","title":"RecMind: Large Language Model Powered Agent For Recommendation","created":"2023-08-28","cited_by_count":129,"area":"agents"},{"id":"2308.10053","title":"Large Language Models as Zero-Shot Conversational Recommenders","created":"2023-08-19","cited_by_count":127,"area":null},{"id":"2403.09054","title":"Keyformer: KV Cache Reduction through Key Tokens Selection for Efficient Generative Inference","created":"2024-03-14","cited_by_count":126,"area":"inference"},{"id":"2206.05941","title":"Towards Universal Sequence Representation Learning for Recommender Systems","created":"2022-06-13","cited_by_count":121,"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":"2304.03879","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","created":"2023-04-08","cited_by_count":103,"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":"2202.13556","title":"Filter-enhanced MLP is All You Need for Sequential Recommendation","created":"2022-02-28","cited_by_count":96,"area":null},{"id":"2305.07622","title":"PALR: Personalization Aware LLMs for Recommendation","created":"2023-05-12","cited_by_count":96,"area":null},{"id":"2304.00686","title":"DiffuRec: A Diffusion Model for Sequential Recommendation","created":"2023-04-03","cited_by_count":93,"area":"diffusion"},{"id":"2202.02519","title":"Intent Contrastive Learning for Sequential Recommendation","created":"2022-02-05","cited_by_count":91,"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":"2302.06015","title":"A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity","created":"2023-02-12","cited_by_count":77,"area":null},{"id":"2402.13598","title":"User-LLM: Efficient LLM Contextualization with User Embeddings","created":"2024-02-21","cited_by_count":76,"area":null},{"id":"2103.06413","title":"FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders","created":"2021-03-11","cited_by_count":75,"area":null},{"id":"2310.20453","title":"Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion","created":"2023-10-31","cited_by_count":74,"area":"diffusion"},{"id":"2108.06625","title":"Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer","created":"2021-08-14","cited_by_count":69,"area":null},{"id":"2105.04170","title":"AutoDebias: Learning to Debias for Recommendation","created":"2021-05-10","cited_by_count":68,"area":null},{"id":"2109.12613","title":"SimpleX: A Simple and Strong Baseline for Collaborative Filtering","created":"2021-09-26","cited_by_count":65,"area":null},{"id":"2203.14263","title":"A General Survey on Attention Mechanisms in Deep Learning","created":"2022-03-27","cited_by_count":64,"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":"2204.08832","title":"Impact of Tokenization on Language Models: An Analysis for Turkish","created":"2022-04-19","cited_by_count":62,"area":null},{"id":"2503.10657","title":"RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs","created":"2025-03-08","cited_by_count":61,"area":null},{"id":"2306.13596","title":"Max-Margin Token Selection in Attention Mechanism","created":"2023-06-23","cited_by_count":58,"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":"2205.04507","title":"PinnerFormer: Sequence Modeling for User Representation at Pinterest","created":"2022-05-09","cited_by_count":57,"area":null},{"id":"2108.06479","title":"Contrastive Self-supervised Sequential Recommendation with Robust Augmentation","created":"2021-08-14","cited_by_count":56,"area":null},{"id":"2211.13878","title":"Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism","created":"2022-11-25","cited_by_count":53,"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":"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":"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":"2110.03987","title":"Knowledge-aware Coupled Graph Neural Network for Social Recommendation","created":"2021-10-08","cited_by_count":49,"area":null},{"id":"2405.20646","title":"LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation","created":"2024-05-31","cited_by_count":47,"area":null},{"id":"2305.14302","title":"VIP5: Towards Multimodal Foundation Models for Recommendation","created":"2023-05-23","cited_by_count":46,"area":null},{"id":"2105.00522","title":"Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer","created":"2021-05-02","cited_by_count":45,"area":null},{"id":"2108.04468","title":"End-to-End User Behavior Retrieval in Click-Through RatePrediction Model","created":"2021-08-10","cited_by_count":45,"area":null},{"id":"2507.21206","title":"Agentic Web: Weaving the Next Web with AI Agents","created":"2025-07-28","cited_by_count":45,"area":"agents"},{"id":"2207.05584","title":"Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation","created":"2022-07-12","cited_by_count":42,"area":null},{"id":"2312.16890","title":"DiffKG: Knowledge Graph Diffusion Model for Recommendation","created":"2023-12-28","cited_by_count":41,"area":"diffusion"},{"id":"2110.04000","title":"Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation","created":"2021-10-08","cited_by_count":39,"area":null},{"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":"2408.01129","title":"A Survey of Mamba","created":"2024-08-02","cited_by_count":39,"area":"ssm"},{"id":"2102.09267","title":"Sparse-Interest Network for Sequential Recommendation","created":"2021-02-18","cited_by_count":38,"area":null},{"id":"2110.03969","title":"Graph Meta Network for Multi-Behavior Recommendation","created":"2021-10-08","cited_by_count":38,"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":"2309.12858","title":"Diffusion Augmentation for Sequential Recommendation","created":"2023-09-22","cited_by_count":38,"area":"diffusion"},{"id":"2109.01165","title":"Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction","created":"2021-09-01","cited_by_count":37,"area":null},{"id":"2201.06035","title":"Sequential Recommendation via Stochastic Self-Attention","created":"2022-01-16","cited_by_count":37,"area":null},{"id":"2204.11067","title":"CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space","created":"2022-04-23","cited_by_count":37,"area":null},{"id":"2401.02913","title":"Plug-in Diffusion Model for Sequential Recommendation","created":"2024-01-05","cited_by_count":37,"area":"diffusion"},{"id":"2208.00281","title":"Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding","created":"2022-07-30","cited_by_count":35,"area":null},{"id":"2306.00248","title":"TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest","created":"2023-05-31","cited_by_count":35,"area":null},{"id":"2406.10450","title":"TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation","created":"2024-06-15","cited_by_count":35,"area":null},{"id":"2503.02453","title":"Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations","created":"2025-03-04","cited_by_count":35,"area":null},{"id":"2110.08455","title":"Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey","created":"2021-10-16","cited_by_count":33,"area":null},{"id":"2405.01745","title":"Large Language Models for UAVs: Current State and Pathways to the Future","created":"2024-05-02","cited_by_count":33,"area":null},{"id":"2408.09698","title":"Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation","created":"2024-08-19","cited_by_count":33,"area":"mllm"},{"id":"2109.04200","title":"Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation","created":"2021-09-09","cited_by_count":32,"area":null},{"id":"2207.14338","title":"Self-Supervised Hypergraph Transformer for Recommender Systems","created":"2022-07-28","cited_by_count":32,"area":null},{"id":"2209.10117","title":"A Comprehensive Survey on Trustworthy Recommender Systems","created":"2022-09-21","cited_by_count":32,"area":null},{"id":"2210.03052","title":"ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs","created":"2022-10-06","cited_by_count":32,"area":null},{"id":"2110.02629","title":"Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem","created":"2021-10-06","cited_by_count":31,"area":null},{"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":"2204.11046","title":"Decoupled Side Information Fusion for Sequential Recommendation","created":"2022-04-23","cited_by_count":30,"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":"2309.07602","title":"Turning Dross Into Gold Loss: is BERT4Rec really better than SASRec?","created":"2023-09-14","cited_by_count":30,"area":null},{"id":"2310.20307","title":"Causal Interpretation of Self-Attention in Pre-Trained Transformers","created":"2023-10-31","cited_by_count":30,"area":null},{"id":"2312.07552","title":"Large Language Models for Intent-Driven Session Recommendations","created":"2023-12-07","cited_by_count":30,"area":null},{"id":"2204.11966","title":"Estimating and Penalizing Induced Preference Shifts in Recommender Systems","created":"2022-04-25","cited_by_count":29,"area":null},{"id":"2308.07192","title":"gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling","created":"2023-08-14","cited_by_count":29,"area":null},{"id":"2103.10693","title":"Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation","created":"2021-03-19","cited_by_count":28,"area":null},{"id":"2110.04002","title":"Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network","created":"2021-10-08","cited_by_count":28,"area":null},{"id":"2112.04184","title":"Zero-Shot Recommendation as Language Modeling","created":"2021-12-08","cited_by_count":28,"area":null},{"id":"2312.10325","title":"An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention","created":"2023-12-16","cited_by_count":28,"area":null},{"id":"2112.08140","title":"Improving Conversational Recommendation Systems' Quality with Context-Aware Item Meta Information","created":"2021-12-15","cited_by_count":26,"area":null},{"id":"2302.11087","title":"A Survey on User Behavior Modeling in Recommender Systems","created":"2023-02-22","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":"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":"2107.13045","title":"A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models","created":"2021-07-27","cited_by_count":25,"area":null},{"id":"2302.07335","title":"Intelligent Model Update Strategy for Sequential Recommendation","created":"2023-02-14","cited_by_count":25,"area":null},{"id":"2303.06337","title":"AutoMLP: Automated MLP for Sequential Recommendations","created":"2023-03-11","cited_by_count":25,"area":null},{"id":"2403.10667","title":"Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond","created":"2024-03-15","cited_by_count":25,"area":"mllm"},{"id":"2504.13192","title":"CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent","created":"2025-04-13","cited_by_count":25,"area":"agents"},{"id":"2304.07041","title":"A Diffusion model for POI recommendation","created":"2023-04-14","cited_by_count":24,"area":"diffusion"},{"id":"2305.15498","title":"Large Language Models for User Interest Journeys","created":"2023-05-24","cited_by_count":24,"area":null},{"id":"2402.09617","title":"LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations","created":"2024-02-14","cited_by_count":24,"area":null},{"id":"2405.02429","title":"CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation","created":"2024-05-03","cited_by_count":24,"area":null},{"id":"2304.11433","title":"Conditional Denoising Diffusion for Sequential Recommendation","created":"2023-04-22","cited_by_count":23,"area":"diffusion"},{"id":"2502.14662","title":"iAgent: LLM Agent as a Shield between User and Recommender Systems","created":"2025-02-20","cited_by_count":23,"area":"agents"},{"id":"2106.06165","title":"Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation","created":"2021-06-11","cited_by_count":22,"area":null}],"next_cursor":"100"}