{"total":33,"rows":[{"id":"2305.19860","title":"A Survey on Large Language Models for Recommendation","created":"2023-05-31","cited_by_count":379,"area":null},{"id":"2308.10053","title":"Large Language Models as Zero-Shot Conversational Recommenders","created":"2023-08-19","cited_by_count":127,"area":null},{"id":"2101.09459","title":"Advances and Challenges in Conversational Recommender Systems: A Survey","created":"2021-01-23","cited_by_count":118,"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":"2303.11504","title":"Language Model Behavior: A Comprehensive Survey","created":"2023-03-20","cited_by_count":92,"area":null},{"id":"2307.14225","title":"Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences","created":"2023-07-26","cited_by_count":66,"area":null},{"id":"2305.07961","title":"Leveraging Large Language Models in Conversational Recommender Systems","created":"2023-05-13","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":"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":"2112.04184","title":"Zero-Shot Recommendation as Language Modeling","created":"2021-12-08","cited_by_count":28,"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":"2210.12607","title":"Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models","created":"2022-10-23","cited_by_count":10,"area":null},{"id":"2203.09126","title":"Conversational Recommendation: A Grand AI Challenge","created":"2022-03-17","cited_by_count":9,"area":null},{"id":"2203.17081","title":"Interpretation of Black Box NLP Models: A Survey","created":"2022-03-31","cited_by_count":9,"area":null},{"id":"2212.10017","title":"Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities","created":"2022-12-20","cited_by_count":9,"area":null},{"id":"2406.02018","title":"Why Would You Suggest That? Human Trust in Language Model Responses","created":"2024-06-04","cited_by_count":9,"area":null},{"id":"2109.09105","title":"What BERT Based Language Models Learn in Spoken Transcripts: An Empirical Study","created":"2021-09-19","cited_by_count":5,"area":null},{"id":"2307.11650","title":"Alleviating the Long-Tail Problem in Conversational Recommender Systems","created":"2023-07-21","cited_by_count":5,"area":null},{"id":"2201.06224","title":"Unintended Bias in Language Model-driven Conversational Recommendation","created":"2022-01-17","cited_by_count":4,"area":null},{"id":"2308.08496","title":"Understanding User Intent Modeling for Conversational Recommender Systems: A Systematic Literature Review","created":"2023-08-05","cited_by_count":4,"area":null},{"id":"2109.07576","title":"\"It doesn't look good for a date\": Transforming Critiques into Preferences for Conversational Recommendation Systems","created":"2021-09-15","cited_by_count":3,"area":null},{"id":"2309.07682","title":"A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommender Systems","created":"2023-09-14","cited_by_count":3,"area":null},{"id":"2305.06218","title":"Multi-Task End-to-End Training Improves Conversational Recommendation","created":"2023-05-08","cited_by_count":2,"area":null},{"id":"2403.18667","title":"Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users","created":"2024-03-27","cited_by_count":2,"area":null},{"id":"2508.08454","title":"Temporal User Profiling with LLMs: Balancing Short-Term and Long-Term Preferences for Recommendations","created":"2025-08-11","cited_by_count":2,"area":null},{"id":"2207.10849","title":"ASR Error Detection via Audio-Transcript entailment","created":"2022-07-22","cited_by_count":1,"area":null},{"id":"2106.14481","title":"Complexity-based partitioning of CSFI problem instances with Transformers","created":"2021-06-28","cited_by_count":0,"area":null},{"id":"2202.10236","title":"Edge Data Based Trailer Inception Probabilistic Matrix Factorization for Context-Aware Movie Recommendation","created":"2022-02-16","cited_by_count":0,"area":null},{"id":"2308.16437","title":"AntM$^{2}$C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction","created":"2023-08-31","cited_by_count":0,"area":null},{"id":"2406.09967","title":"Bag of Lies: Robustness in Continuous Pre-training BERT","created":"2024-06-14","cited_by_count":0,"area":null},{"id":"2408.10946","title":"Large Language Model Driven Recommendation","created":"2024-08-20","cited_by_count":0,"area":null},{"id":"2504.11658","title":"Improving LLM Interpretability and Performance via Guided Embedding Refinement for Sequential Recommendation","created":"2025-04-15","cited_by_count":0,"area":null},{"id":"2505.20190","title":"A Text-Based Recommender System that Leverages Explicit Affective State Preferences","created":"2025-05-26","cited_by_count":0,"area":null}],"next_cursor":null}