{"list":"other","total":63,"rows":[{"id":"1810.04805","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","created":"2018-10-11","cited_by_count":40399},{"id":"2005.14165","title":"Language Models are Few-Shot Learners","created":"2020-05-28","cited_by_count":32419},{"id":"1910.10683","title":"Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer","created":"2019-10-23","cited_by_count":14599},{"id":"2302.13971","title":"LLaMA: Open and Efficient Foundation Language Models","created":"2023-02-27","cited_by_count":14132},{"id":"2302.04761","title":"Toolformer: Language Models Can Teach Themselves to Use Tools","created":"2023-02-09","cited_by_count":4182},{"id":"1808.09781","title":"Self-Attentive Sequential Recommendation","created":"2018-08-20","cited_by_count":1184},{"id":"2002.02126","title":"LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation","created":"2020-02-06","cited_by_count":1139},{"id":"1708.05031","title":"Neural Collaborative Filtering","created":"2017-08-16","cited_by_count":1111},{"id":"1904.06690","title":"BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer","created":"2019-04-14","cited_by_count":964},{"id":"1511.06939","title":"Session-based Recommendations with Recurrent Neural Networks","created":"2015-11-21","cited_by_count":695},{"id":"1703.04247","title":"DeepFM: A Factorization-Machine based Neural Network for CTR Prediction","created":"2017-03-13","cited_by_count":676},{"id":"1905.08108","title":"Neural Graph Collaborative Filtering","created":"2019-05-20","cited_by_count":661},{"id":"2304.05376","title":"ChemCrow: Augmenting large-language models with chemistry tools","created":"2023-04-11","cited_by_count":631},{"id":"1706.06978","title":"Deep Interest Network for Click-Through Rate Prediction","created":"2017-06-21","cited_by_count":544},{"id":"2402.06196","title":"Large Language Models: A Survey","created":"2024-02-09","cited_by_count":525},{"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},{"id":"2305.19860","title":"A Survey on Large Language Models for Recommendation","created":"2023-05-31","cited_by_count":379},{"id":"2304.09542","title":"Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents","created":"2023-04-19","cited_by_count":360},{"id":"2305.00447","title":"TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation","created":"2023-04-30","cited_by_count":337},{"id":"2305.08845","title":"Large Language Models are Zero-Shot Rankers for Recommender Systems","created":"2023-05-15","cited_by_count":309},{"id":"2210.06280","title":"Language Models are Realistic Tabular Data Generators","created":"2022-10-12","cited_by_count":294},{"id":"2307.06135","title":"SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning","created":"2023-07-12","cited_by_count":294},{"id":"2303.14524","title":"Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System","created":"2023-03-25","cited_by_count":242},{"id":"2010.03240","title":"Bias and Debias in Recommender System: A Survey and Future Directions","created":"2020-10-07","cited_by_count":240},{"id":"2308.07134","title":"Language is All a Graph Needs","created":"2023-08-14","cited_by_count":220},{"id":"2305.15066","title":"GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking","created":"2023-05-24","cited_by_count":210},{"id":"2304.10149","title":"Is ChatGPT a Good Recommender? A Preliminary Study","created":"2023-04-20","cited_by_count":193},{"id":"2112.08679","title":"Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation","created":"2021-12-16","cited_by_count":173},{"id":"2311.00423","title":"LLMRec: Large Language Models with Graph Augmentation for Recommendation","created":"2023-11-01","cited_by_count":172},{"id":"2305.02182","title":"Uncovering ChatGPT's Capabilities in Recommender Systems","created":"2023-05-03","cited_by_count":161},{"id":"1609.09152","title":"Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation","created":"2016-09-28","cited_by_count":152},{"id":"1902.01718","title":"End-to-End Open-Domain Question Answering with BERTserini","created":"2019-02-05","cited_by_count":152},{"id":"2205.08084","title":"M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems","created":"2022-05-17","cited_by_count":152},{"id":"2305.13731","title":"Text Is All You Need: Learning Language Representations for Sequential Recommendation","created":"2023-05-23","cited_by_count":149},{"id":"2303.13835","title":"Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited","created":"2023-03-24","cited_by_count":124},{"id":"2001.10167","title":"Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach","created":"2020-01-28","cited_by_count":120},{"id":"2305.06569","title":"How to Index Item IDs for Recommendation Foundation Models","created":"2023-05-11","cited_by_count":102},{"id":"2203.15876","title":"Self-Supervised Learning for Recommender Systems: A Survey","created":"2022-03-29","cited_by_count":95},{"id":"2310.10108","title":"On Generative Agents in Recommendation","created":"2023-10-16","cited_by_count":90},{"id":"2202.06200","title":"Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning","created":"2022-02-13","cited_by_count":86},{"id":"2206.09363","title":"Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning","created":"2022-06-19","cited_by_count":86},{"id":"2202.07371","title":"Personalized Prompt Learning for Explainable Recommendation","created":"2022-02-15","cited_by_count":79},{"id":"2405.08011","title":"A Survey of Large Language Models for Graphs","created":"2024-05-10","cited_by_count":72},{"id":"2304.03516","title":"Generative Recommendation: Towards Next-generation Recommender Paradigm","created":"2023-04-07","cited_by_count":70},{"id":"1905.05412","title":"BERT with History Answer Embedding for Conversational Question Answering","created":"2019-05-14","cited_by_count":67},{"id":"2304.11370","title":"SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval","created":"2023-04-22","cited_by_count":62},{"id":"2408.14512","title":"LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings","created":"2024-08-25","cited_by_count":61},{"id":"2209.02544","title":"XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation","created":"2022-09-06","cited_by_count":57},{"id":"2405.15114","title":"Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning","created":"2024-05-24","cited_by_count":51},{"id":"2302.03735","title":"Pre-train, Prompt and Recommendation: A Comprehensive Survey of Language Modelling Paradigm Adaptations in Recommender Systems","created":"2023-02-07","cited_by_count":45},{"id":"2310.17110","title":"LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?","created":"2023-10-26","cited_by_count":40},{"id":"2305.11700","title":"Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights","created":"2023-05-19","cited_by_count":38},{"id":"1903.10972","title":"Simple Applications of BERT for Ad Hoc Document Retrieval","created":"2019-03-26","cited_by_count":34},{"id":"2005.09344","title":"Try This Instead: Personalized and Interpretable Substitute Recommendation","created":"2020-05-19","cited_by_count":34},{"id":"2310.18659","title":"DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy","created":"2023-10-28","cited_by_count":34},{"id":"2210.10629","title":"Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems","created":"2022-10-13","cited_by_count":31},{"id":"2306.02250","title":"Large Language Model Augmented Narrative Driven Recommendations","created":"2023-06-04","cited_by_count":31},{"id":"1905.02851","title":"FAQ Retrieval using Query-Question Similarity and BERT-Based Query-Answer Relevance","created":"2019-05-08","cited_by_count":25},{"id":"2305.15756","title":"UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation","created":"2023-05-25","cited_by_count":20},{"id":"2104.06077","title":"An Adversarial Imitation Click Model for Information Retrieval","created":"2021-04-13","cited_by_count":18},{"id":"2206.08621","title":"A Graph-Enhanced Click Model for Web Search","created":"2022-06-17","cited_by_count":17},{"id":"2211.09303","title":"A Bird's-eye View of Reranking: from List Level to Page Level","created":"2022-11-17","cited_by_count":13},{"id":"2009.09226","title":"Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect","created":"2020-09-19","cited_by_count":11}],"next_cursor":null}