{"total":45,"rows":[{"id":"2411.00860","title":"Survey of Cultural Awareness in Language Models: Text and Beyond","created":"2024-10-30","cited_by_count":103,"area":null},{"id":"2404.11457","title":"Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era","created":"2024-04-17","cited_by_count":98,"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":"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":"2312.07552","title":"Large Language Models for Intent-Driven Session Recommendations","created":"2023-12-07","cited_by_count":30,"area":null},{"id":"2402.02803","title":"Large Language Model Distilling Medication Recommendation Model","created":"2024-02-05","cited_by_count":26,"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":"2405.03988","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":"2406.03085","title":"Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation","created":"2024-06-05","cited_by_count":19,"area":null},{"id":"2510.24431","title":"MiniOneRec: An Open-Source Framework for Scaling Generative Recommendation","created":"2025-10-28","cited_by_count":17,"area":null},{"id":"2404.16924","title":"A Survey of Generative Search and Recommendation in the Era of Large Language Models","created":"2024-04-25","cited_by_count":15,"area":null},{"id":"2410.05165","title":"Efficient Inference for Large Language Model-based Generative Recommendation","created":"2024-10-07","cited_by_count":11,"area":null},{"id":"2506.17966","title":"LLM-Enhanced Multimodal Fusion for Cross-Domain Sequential Recommendation","created":"2025-06-22","cited_by_count":11,"area":null},{"id":"2511.22707","title":"CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation","created":"2025-11-27","cited_by_count":11,"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":"2412.13432","title":"Large Language Model Enhanced Recommender Systems: A Survey","created":"2024-12-18","cited_by_count":10,"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":"2511.18793","title":"NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations","created":"2025-11-24","cited_by_count":6,"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":"2402.16539","title":"Integrating Large Language Models with Graphical Session-Based Recommendation","created":"2024-02-26","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":"2505.14057","title":"Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction","created":"2025-05-20","cited_by_count":4,"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":"2506.19993","title":"CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems","created":"2025-06-24","cited_by_count":3,"area":null},{"id":"2602.10445","title":"End-to-End Semantic ID Generation for Generative Advertisement Recommendation","created":"2026-02-11","cited_by_count":3,"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":"2510.25093","title":"Continual Low-Rank Adapters for LLM-based Generative Recommender Systems","created":"2025-10-29","cited_by_count":2,"area":null},{"id":"2601.02386","title":"Tree of Preferences for Diversified Recommendation","created":"2025-12-24","cited_by_count":2,"area":null},{"id":"2602.10699","title":"Spend Search Where It Pays: Value-Guided Structured Sampling and Optimization for Generative Recommendation","created":"2026-02-11","cited_by_count":2,"area":null},{"id":"2409.01605","title":"Laser: Parameter-Efficient LLM Bi-Tuning for Sequential Recommendation with Collaborative Information","created":"2024-09-03","cited_by_count":1,"area":null},{"id":"2505.23053","title":"Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders","created":"2025-05-29","cited_by_count":1,"area":null},{"id":"2601.15930","title":"MMGRid: Navigating Temporal-aware and Cross-domain Generative Recommendation via Model Merging","created":"2026-01-22","cited_by_count":1,"area":null},{"id":"2601.17438","title":"UniGRec: Unified Generative Recommendation with Soft Identifiers for End-to-End Optimization","created":"2026-01-24","cited_by_count":1,"area":null},{"id":"2601.22925","title":"BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models","created":"2026-01-30","cited_by_count":1,"area":null},{"id":"2602.17410","title":"Improving LLM-based Recommendation with Self-Hard Negatives from Intermediate Layers","created":"2026-02-19","cited_by_count":1,"area":null},{"id":"2608.10008","title":"Do LLM Recommenders Know When They're Hallucinating? Auditing Confidence Calibration in Catalog Faithfulness","created":"2026-08-07","cited_by_count":1,"area":null},{"id":"2608.29179","title":"History-Conditioned Joint-Prefix Alignment for Generative Recommendation","created":"2026-08-29","cited_by_count":1,"area":null},{"id":"2509.10468","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","created":"2025-08-22","cited_by_count":0,"area":null},{"id":"2602.22743","title":"Generative Data Transformation: From Mixed to Unified Data","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2603.12752","title":"Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems","created":"2026-03-13","cited_by_count":0,"area":null},{"id":"2604.07825","title":"Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders","created":"2026-04-09","cited_by_count":0,"area":null},{"id":"2604.16379","title":"LLMAR: A Tuning-Free Recommendation Framework for Sparse and Text-Rich Industrial Domains","created":"2026-03-25","cited_by_count":0,"area":null},{"id":"2604.26247","title":"TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation","created":"2026-04-29","cited_by_count":0,"area":null},{"id":"2607.04270","title":"LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation","created":"2026-07-05","cited_by_count":0,"area":null},{"id":"2608.19735","title":"RecPFN: Prior-Fitted Networks for In-Context-Based Recommendations","created":"2026-08-20","cited_by_count":0,"area":null}],"next_cursor":null}