{"total":57,"rows":[{"id":"2404.14851","title":"From Matching to Generation: A Survey on Generative Information Retrieval","created":"2024-04-23","cited_by_count":89,"area":null},{"id":"2410.03439","title":"ToolGen: Unified Tool Retrieval and Calling via Generation","created":"2024-10-04","cited_by_count":74,"area":null},{"id":"2305.11841","title":"How Does Generative Retrieval Scale to Millions of Passages?","created":"2023-05-19","cited_by_count":48,"area":null},{"id":"2404.01019","title":"Source-Aware Training Enables Knowledge Attribution in Language Models","created":"2024-04-01","cited_by_count":30,"area":null},{"id":"2310.07815","title":"Language Models As Semantic Indexers","created":"2023-10-11","cited_by_count":20,"area":null},{"id":"2311.01555","title":"Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers","created":"2023-11-02","cited_by_count":19,"area":null},{"id":"2404.14600","title":"Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous Decoding","created":"2024-04-22","cited_by_count":19,"area":null},{"id":"2411.18814","title":"Unifying Generative and Dense Retrieval for Sequential Recommendation","created":"2024-11-27","cited_by_count":18,"area":null},{"id":"2405.16546","title":"Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration","created":"2024-05-26","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":"2312.11036","title":"UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models","created":"2023-12-18","cited_by_count":14,"area":null},{"id":"2502.04397","title":"Multimodal Medical Code Tokenizer","created":"2025-02-06","cited_by_count":14,"area":null},{"id":"2410.01727","title":"Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing","created":"2024-10-02","cited_by_count":11,"area":null},{"id":"2312.03463","title":"DBCopilot: Natural Language Querying over Massive Databases via Schema Routing","created":"2023-12-06","cited_by_count":10,"area":null},{"id":"2402.16767","title":"CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks","created":"2024-02-26","cited_by_count":10,"area":null},{"id":"2403.02041","title":"A Generative Approach for Wikipedia-Scale Visual Entity Recognition","created":"2024-03-04","cited_by_count":9,"area":null},{"id":"2509.10697","title":"A Survey on Retrieval And Structuring Augmented Generation with Large Language Models","created":"2025-09-12","cited_by_count":8,"area":null},{"id":"2406.02844","title":"Item-Language Model for Conversational Recommendation","created":"2024-06-05","cited_by_count":7,"area":null},{"id":"2407.21488","title":"Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval","created":"2024-07-31","cited_by_count":7,"area":null},{"id":"2504.04405","title":"Universal Item Tokenization for Transferable Generative Recommendation","created":"2025-04-06","cited_by_count":7,"area":null},{"id":"2305.18952","title":"Exploring the Practicality of Generative Retrieval on Dynamic Corpora","created":"2023-05-27","cited_by_count":6,"area":null},{"id":"2412.08604","title":"Preference Discerning with LLM-Enhanced Generative Retrieval","created":"2024-12-11","cited_by_count":6,"area":null},{"id":"2503.19868","title":"GENIUS: A Generative Framework for Universal Multimodal Search","created":"2025-03-25","cited_by_count":5,"area":null},{"id":"2504.09135","title":"Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models","created":"2025-04-12","cited_by_count":5,"area":null},{"id":"2403.00801","title":"Self-Retrieval: End-to-End Information Retrieval with One Large Language Model","created":"2024-02-23","cited_by_count":4,"area":null},{"id":"2406.01197","title":"A Survey of Generative Information Retrieval","created":"2024-06-03","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":"2503.21098","title":"Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search","created":"2025-03-27","cited_by_count":4,"area":null},{"id":"2504.04400","title":"Pre-training Generative Recommender with Multi-Identifier Item Tokenization","created":"2025-04-06","cited_by_count":4,"area":null},{"id":"2507.09924","title":"MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora","created":"2025-07-14","cited_by_count":4,"area":null},{"id":"2510.07812","title":"Multilingual Generative Retrieval via Cross-lingual Semantic Compression","created":"2025-10-09","cited_by_count":4,"area":null},{"id":"2405.10974","title":"Bottleneck-Minimal Indexing for Generative Document Retrieval","created":"2024-05-12","cited_by_count":3,"area":null},{"id":"2406.06475","title":"Survey for Landing Generative AI in Social and E-commerce Recsys -- the Industry Perspectives","created":"2024-06-10","cited_by_count":3,"area":null},{"id":"2407.15462","title":"Retrieval with Learned Similarities","created":"2024-07-22","cited_by_count":3,"area":null},{"id":"2408.02152","title":"Generative Retrieval with Few-shot Indexing","created":"2024-08-04","cited_by_count":3,"area":null},{"id":"2503.23333","title":"Beyond Unimodal Boundaries: Generative Recommendation with Multimodal Semantics","created":"2025-03-30","cited_by_count":3,"area":null},{"id":"2601.21193","title":"Generative Recall, Dense Reranking: Learning Multi-View Semantic IDs for Efficient Text-to-Video Retrieval","created":"2026-01-29","cited_by_count":3,"area":null},{"id":"2311.08593","title":"Summarization-Based Document IDs for Generative Retrieval with Language Models","created":"2023-11-14","cited_by_count":2,"area":null},{"id":"2402.10769","title":"Distillation Enhanced Generative Retrieval","created":"2024-02-16","cited_by_count":2,"area":null},{"id":"2509.23860","title":"GSID: Generative Semantic Indexing for E-Commerce Product Understanding","created":"2025-09-28","cited_by_count":2,"area":null},{"id":"2406.12593","title":"PromptDSI: Prompt-based Rehearsal-free Continual Learning for Document Retrieval","created":"2024-06-18","cited_by_count":1,"area":null},{"id":"2412.13205","title":"Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval","created":"2024-12-03","cited_by_count":1,"area":null},{"id":"2501.02842","title":"Foundations of GenIR","created":"2025-01-06","cited_by_count":1,"area":null},{"id":"2501.17338","title":"Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection","created":"2025-01-28","cited_by_count":1,"area":null},{"id":"2511.05301","title":"QueStER: Query Specification for Generative keyword-based Retrieval","created":"2025-11-07","cited_by_count":1,"area":null},{"id":"2608.24207","title":"PRQ-KMeans: Projection Residual Quantization for Semantic ID Tokenization","created":"2026-08-25","cited_by_count":1,"area":null},{"id":"2404.12237","title":"De-DSI: Decentralised Differentiable Search Index","created":"2024-04-18","cited_by_count":0,"area":null},{"id":"2405.00704","title":"A Survey on the Real Power of ChatGPT","created":"2024-04-22","cited_by_count":0,"area":null},{"id":"2605.26902","title":"ICICLE: Expanding Retrieval with In-Context Documents","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2608.03150","title":"UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval","created":"2026-08-04","cited_by_count":0,"area":null},{"id":"2608.12987","title":"Generative Universal Multimodal Retrieval with Dual-role Identifiers","created":"2026-08-13","cited_by_count":0,"area":null},{"id":"2608.21012","title":"From a Static Multi-Level Small Semantic Codebook to a Dynamic Single-Level Large Semantic Codebook for Generative Recommendation","created":"2026-08-21","cited_by_count":0,"area":null},{"id":"2608.28931","title":"MERIT: Mitigating Exposure Bias in Generative XMC for User-Interest Propensity Modeling","created":"2026-08-28","cited_by_count":0,"area":null},{"id":"2608.30606","title":"Generative Retrieval for E-commerce: Jointly Learning Embedding and Codebook with Same Product Cluster","created":"2026-08-31","cited_by_count":0,"area":null},{"id":"2609.36670","title":"FineSID: Scalable and Efficient Semantic Identifier Learning for Generative Recommendation","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.08732","title":"A Systematic Study of Semantic ID Spaces for Generative Information Retrieval","created":"2026-10-06","cited_by_count":0,"area":null},{"id":"2610.17841","title":"FASHION-RQ: Mining Hierarchical Semantic Structure for Automated Evaluation of Fashion Retrieval","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}