{"total":113,"rows":[{"id":"2208.03299","title":"Atlas: Few-shot Learning with Retrieval Augmented Language Models","created":"2022-08-05","cited_by_count":952,"area":"rag"},{"id":"2212.10496","title":"Precise Zero-Shot Dense Retrieval without Relevance Labels","created":"2022-12-20","cited_by_count":517,"area":null},{"id":"2306.15626","title":"LeanDojo: Theorem Proving with Retrieval-Augmented Language Models","created":"2023-06-27","cited_by_count":427,"area":"rag"},{"id":"2308.07107","title":"Large Language Models for Information Retrieval: A Survey","created":"2023-08-14","cited_by_count":331,"area":null},{"id":"2209.10063","title":"Generate rather than Retrieve: Large Language Models are Strong Context Generators","created":"2022-09-21","cited_by_count":298,"area":null},{"id":"2207.06300","title":"Re2G: Retrieve, Rerank, Generate","created":"2022-07-13","cited_by_count":102,"area":null},{"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":"2404.10981","title":"A Survey on Retrieval-Augmented Text Generation for Large Language Models","created":"2024-04-17","cited_by_count":77,"area":"rag"},{"id":"2406.04292","title":"VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval","created":"2024-06-06","cited_by_count":67,"area":null},{"id":"2210.01296","title":"Recitation-Augmented Language Models","created":"2022-10-04","cited_by_count":65,"area":null},{"id":"2209.14290","title":"FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation","created":"2022-09-28","cited_by_count":63,"area":"rag"},{"id":"2501.14342","title":"Chain-of-Retrieval Augmented Generation","created":"2025-01-24","cited_by_count":49,"area":"lr"},{"id":"2206.10128","title":"Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation","created":"2022-06-21","cited_by_count":48,"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":"2305.09955","title":"Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models","created":"2023-05-17","cited_by_count":46,"area":null},{"id":"2306.15222","title":"Learning to Rank in Generative Retrieval","created":"2023-06-27","cited_by_count":46,"area":null},{"id":"2208.07652","title":"CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks","created":"2022-08-16","cited_by_count":36,"area":null},{"id":"2402.11161","title":"PEDANTS: Cheap but Effective and Interpretable Answer Equivalence","created":"2024-02-17","cited_by_count":31,"area":null},{"id":"2405.02816","title":"Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization","created":"2024-05-05","cited_by_count":29,"area":"rag"},{"id":"2212.10380","title":"What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary","created":"2022-12-20","cited_by_count":28,"area":null},{"id":"2311.05876","title":"Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications","created":"2023-11-10","cited_by_count":28,"area":null},{"id":"2402.10805","title":"Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond","created":"2024-02-16","cited_by_count":28,"area":"mllm"},{"id":"2305.09612","title":"Large Language Models are Built-in Autoregressive Search Engines","created":"2023-05-16","cited_by_count":27,"area":null},{"id":"2410.03227","title":"ALR$^2$: A Retrieve-then-Reason Framework for Long-context Question Answering","created":"2024-10-04","cited_by_count":26,"area":"lr"},{"id":"2406.13069","title":"Evaluating $n$-Gram Novelty of Language Models Using Rusty-DAWG","created":"2024-06-18","cited_by_count":25,"area":null},{"id":"2412.11919","title":"RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation","created":"2024-12-16","cited_by_count":20,"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":"2303.10126","title":"IRGen: Generative Modeling for Image Retrieval","created":"2023-03-17","cited_by_count":18,"area":null},{"id":"2402.01176","title":"CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks","created":"2024-02-02","cited_by_count":18,"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":"2311.03057","title":"GLEN: Generative Retrieval via Lexical Index Learning","created":"2023-11-06","cited_by_count":17,"area":null},{"id":"2305.16675","title":"Multiview Identifiers Enhanced Generative Retrieval","created":"2023-05-26","cited_by_count":16,"area":null},{"id":"2305.17080","title":"Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering","created":"2023-05-26","cited_by_count":15,"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":"2505.07233","title":"DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation","created":"2025-05-12","cited_by_count":15,"area":"rag"},{"id":"2308.16753","title":"Context Aware Query Rewriting for Text Rankers using LLM","created":"2023-08-31","cited_by_count":14,"area":null},{"id":"2506.12229","title":"Infini-gram mini: Exact n-gram Search at the Internet Scale with FM-Index","created":"2025-06-13","cited_by_count":14,"area":null},{"id":"2502.16641","title":"Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines","created":"2025-02-23","cited_by_count":13,"area":"rag"},{"id":"2504.01403","title":"Generative Retrieval and Alignment Model: A New Paradigm for E-commerce Retrieval","created":"2025-04-02","cited_by_count":13,"area":null},{"id":"2508.09494","title":"Learning Facts at Scale with Active Reading","created":"2025-08-13","cited_by_count":13,"area":null},{"id":"2402.11035","title":"Dense Passage Retrieval: Is it Retrieving?","created":"2024-02-16","cited_by_count":12,"area":"rag"},{"id":"2305.07402","title":"Synergistic Interplay between Search and Large Language Models for Information Retrieval","created":"2023-05-12","cited_by_count":11,"area":null},{"id":"2305.18144","title":"GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking","created":"2023-05-29","cited_by_count":11,"area":null},{"id":"2311.04694","title":"Evaluating Generative Ad Hoc Information Retrieval","created":"2023-11-08","cited_by_count":11,"area":null},{"id":"2401.10487","title":"Generative Dense Retrieval: Memory Can Be a Burden","created":"2024-01-19","cited_by_count":11,"area":null},{"id":"2406.07424","title":"MINERS: Multilingual Language Models as Semantic Retrievers","created":"2024-06-11","cited_by_count":11,"area":null},{"id":"2207.03030","title":"Multi-Task Retrieval-Augmented Text Generation with Relevance Sampling","created":"2022-07-07","cited_by_count":10,"area":"rag"},{"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":"2407.19829","title":"Generative Retrieval with Preference Optimization for E-commerce Search","created":"2024-07-29","cited_by_count":10,"area":"alignment"},{"id":"2504.05181","title":"Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval","created":"2025-04-07","cited_by_count":9,"area":null},{"id":"2306.12756","title":"On the Robustness of Generative Retrieval Models: An Out-of-Distribution Perspective","created":"2023-06-22","cited_by_count":8,"area":null},{"id":"2311.13565","title":"Drilling Down into the Discourse Structure with LLMs for Long Document Question Answering","created":"2023-11-22","cited_by_count":8,"area":null},{"id":"2402.07742","title":"Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search","created":"2024-02-12","cited_by_count":8,"area":null},{"id":"2403.07805","title":"Beyond Memorization: The Challenge of Random Memory Access in Language Models","created":"2024-03-12","cited_by_count":8,"area":null},{"id":"2404.00684","title":"Generative Retrieval as Multi-Vector Dense Retrieval","created":"2024-03-31","cited_by_count":8,"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":"2310.16568","title":"1-PAGER: One Pass Answer Generation and Evidence Retrieval","created":"2023-10-25","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":"2210.02068","title":"Nonparametric Decoding for Generative Retrieval","created":"2022-10-05","cited_by_count":6,"area":null},{"id":"2211.09388","title":"Data-Efficient Autoregressive Document Retrieval for Fact Verification","created":"2022-11-17","cited_by_count":6,"area":null},{"id":"2212.07476","title":"The Infinite Index: Information Retrieval on Generative Text-To-Image Models","created":"2022-12-14","cited_by_count":6,"area":"diffusion"},{"id":"2305.18952","title":"Exploring the Practicality of Generative Retrieval on Dynamic Corpora","created":"2023-05-27","cited_by_count":6,"area":null},{"id":"2407.17274","title":"Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation","created":"2024-07-24","cited_by_count":6,"area":null},{"id":"2410.09350","title":"Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog Generation","created":"2024-10-12","cited_by_count":6,"area":null},{"id":"2210.07093","title":"Query Expansion Using Contextual Clue Sampling with Language Models","created":"2022-10-13","cited_by_count":5,"area":null},{"id":"2407.00361","title":"From RAG to RICHES: Retrieval Interlaced with Sequence Generation","created":"2024-06-29","cited_by_count":5,"area":null},{"id":"2502.17957","title":"On Synthetic Data Strategies for Domain-Specific Generative Retrieval","created":"2025-02-25","cited_by_count":5,"area":"synth"},{"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":"2505.23832","title":"LegalSearchLM: Rethinking Legal Case Retrieval as Legal Elements Generation","created":"2025-05-28","cited_by_count":5,"area":null},{"id":"2305.17041","title":"RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering","created":"2023-05-26","cited_by_count":4,"area":null},{"id":"2312.02429","title":"PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models","created":"2023-12-05","cited_by_count":4,"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":"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":"2305.14087","title":"BM25 Query Augmentation Learned End-to-End","created":"2023-05-23","cited_by_count":3,"area":null},{"id":"2405.10974","title":"Bottleneck-Minimal Indexing for Generative Document Retrieval","created":"2024-05-12","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":"2408.11432","title":"T2VIndexer: A Generative Video Indexer for Efficient Text-Video Retrieval","created":"2024-08-21","cited_by_count":3,"area":null},{"id":"2511.08150","title":"DiffuGR: Generative Document Retrieval with Diffusion Language Models","created":"2025-11-11","cited_by_count":3,"area":"diffusion"},{"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":"2406.06739","title":"Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval","created":"2024-06-10","cited_by_count":2,"area":null},{"id":"2407.11504","title":"Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval","created":"2024-07-16","cited_by_count":2,"area":"synth"},{"id":"2505.19660","title":"Prompting is not Enough: Exploring Knowledge Integration and Controllable Generation","created":"2025-05-26","cited_by_count":2,"area":null},{"id":"2605.14434","title":"Efficient Generative Retrieval for E-commerce Search with Semantic Cluster IDs and Expert-Guided RL","created":"2026-05-14","cited_by_count":2,"area":null},{"id":"2609.00638","title":"It Takes Two to Match: Co-Evolving Generative Retriever with Reinforcement Learning","created":"2026-09-01","cited_by_count":2,"area":"lr"},{"id":"2307.00342","title":"Improving Multitask Retrieval by Promoting Task Specialization","created":"2023-07-01","cited_by_count":1,"area":null},{"id":"2310.08891","title":"EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval","created":"2023-10-13","cited_by_count":1,"area":null},{"id":"2402.17010","title":"MindRef: Mimicking Human Memory for Hierarchical Reference Retrieval with Fine-Grained Location Awareness","created":"2024-02-26","cited_by_count":1,"area":null},{"id":"2503.22672","title":"Exploring the Effectiveness of Multi-stage Fine-tuning for Cross-encoder Re-rankers","created":"2025-03-28","cited_by_count":1,"area":null},{"id":"2508.18132","title":"Test-Time Scaling Strategies for Generative Retrieval in Multimodal Conversational Recommendations","created":"2025-08-25","cited_by_count":1,"area":"lr"},{"id":"2510.13095","title":"Retrieval-in-the-Chain: Bootstrapping Large Language Models for Generative Retrieval","created":"2025-10-15","cited_by_count":1,"area":"lr"},{"id":"2511.05301","title":"QueStER: Query Specification for Generative keyword-based Retrieval","created":"2025-11-07","cited_by_count":1,"area":null},{"id":"2604.13468","title":"From Relevance to Authority: Authority-aware Generative Retrieval in Web Search Engines","created":"2026-04-15","cited_by_count":1,"area":null},{"id":"2605.17779","title":"Learning Variable-Length Tokenization for Generative Recommendation","created":"2026-05-18","cited_by_count":1,"area":null},{"id":"2608.01630","title":"RING: Retrieval-Internalized Generation for Continual Large-Scale Knowledge Injection","created":"2026-08-03","cited_by_count":1,"area":"rag"},{"id":"2608.20611","title":"Difficulty-Aware Semantic-ID Optimization for Generative Recommendation","created":"2026-08-20","cited_by_count":1,"area":"lr"},{"id":"2608.29179","title":"History-Conditioned Joint-Prefix Alignment for Generative Recommendation","created":"2026-08-29","cited_by_count":1,"area":null}],"next_cursor":"100"}