{"total":37,"rows":[{"id":"2506.05176","title":"Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models","created":"2025-06-05","cited_by_count":1261,"area":null},{"id":"2308.07107","title":"Large Language Models for Information Retrieval: A Survey","created":"2023-08-14","cited_by_count":331,"area":null},{"id":"2306.17563","title":"Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting","created":"2023-06-30","cited_by_count":307,"area":null},{"id":"2402.09906","title":"Generative Representational Instruction Tuning","created":"2024-02-15","cited_by_count":233,"area":null},{"id":"2309.15088","title":"RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models","created":"2023-09-26","cited_by_count":70,"area":null},{"id":"2310.09497","title":"A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models","created":"2023-10-14","cited_by_count":55,"area":null},{"id":"2305.10703","title":"ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval","created":"2023-05-18","cited_by_count":26,"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":"2502.18460","title":"DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers","created":"2025-02-25","cited_by_count":19,"area":null},{"id":"2406.00231","title":"LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking","created":"2024-05-31","cited_by_count":16,"area":null},{"id":"2501.09186","title":"Guiding Retrieval using LLM-based Listwise Rankers","created":"2025-01-15","cited_by_count":16,"area":null},{"id":"2504.01157","title":"Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB","created":"2025-04-01","cited_by_count":15,"area":null},{"id":"2312.02969","title":"Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models","created":"2023-12-05","cited_by_count":14,"area":null},{"id":"2412.15249","title":"LitLLMs, LLMs for Literature Review: Are we there yet?","created":"2024-12-15","cited_by_count":14,"area":null},{"id":"2309.06991","title":"Unsupervised Contrast-Consistent Ranking with Language Models","created":"2023-09-13","cited_by_count":13,"area":null},{"id":"2307.08303","title":"Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models","created":"2023-07-17","cited_by_count":12,"area":null},{"id":"2506.04494","title":"SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL","created":"2025-06-04","cited_by_count":12,"area":null},{"id":"2406.14117","title":"An Investigation of Prompt Variations for Zero-shot LLM-based Rankers","created":"2024-06-20","cited_by_count":8,"area":null},{"id":"2505.18512","title":"AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking","created":"2025-05-24","cited_by_count":8,"area":null},{"id":"2510.05396","title":"Scalable In-context Ranking with Generative Models","created":"2025-10-06","cited_by_count":8,"area":null},{"id":"2404.11960","title":"MCRanker: Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers","created":"2024-04-18","cited_by_count":7,"area":null},{"id":"2308.05680","title":"Breaking Language Barriers with MMTweets: Advancing Cross-Lingual Debunked Narrative Retrieval for Fact-Checking","created":"2023-08-10","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":"2504.21015","title":"Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval","created":"2025-04-20","cited_by_count":3,"area":null},{"id":"2505.19334","title":"Likert or Not: LLM Absolute Relevance Judgments on Fine-Grained Ordinal Scales","created":"2025-05-25","cited_by_count":3,"area":null},{"id":"2512.16236","title":"The Evolution of Reranking Models in Information Retrieval: From Heuristic Methods to Large Language Models","created":"2025-12-18","cited_by_count":3,"area":null},{"id":"2607.19747","title":"Beyond Relevance-Centric Retrieval: Rubric-Oriented Document Set Selection and Ranking","created":"2026-07-22","cited_by_count":3,"area":null},{"id":"2309.07606","title":"Zero-shot Audio Topic Reranking using Large Language Models","created":"2023-09-14","cited_by_count":2,"area":null},{"id":"2504.01448","title":"LLM-VPRF: Large Language Model Based Vector Pseudo Relevance Feedback","created":"2025-04-02","cited_by_count":2,"area":null},{"id":"2507.05577","title":"Beyond Retrieval: Ensembling Cross-Encoders and GPT Rerankers with LLMs for Biomedical QA","created":"2025-07-08","cited_by_count":2,"area":null},{"id":"2509.00303","title":"Access Paths for Efficient Ordering with Large Language Models","created":"2025-08-30","cited_by_count":1,"area":null},{"id":"2511.19324","title":"What Drives Cross-lingual Ranking? Retrieval Approaches with Multilingual Language Models","created":"2025-11-24","cited_by_count":1,"area":null},{"id":"2601.10321","title":"An Efficient Long-Context Ranking Architecture With Calibrated LLM Distillation: Application to Person-Job Fit","created":"2026-01-15","cited_by_count":1,"area":null},{"id":"2607.17751","title":"MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking","created":"2026-07-20","cited_by_count":1,"area":null},{"id":"2509.08150","title":"Verbalized Algorithms: Classical Algorithms are All You Need (Mostly)","created":"2025-09-09","cited_by_count":0,"area":null},{"id":"2603.20636","title":"A Modular LLM Framework for Explainable Price Outlier Detection","created":"2026-03-21","cited_by_count":0,"area":null},{"id":"2609.36686","title":"Where Root Cause Analysis Fails: A Retrieval-Reranking Decomposition","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}