{"total":71,"rows":[{"id":"2104.06967","title":"Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling","created":"2021-04-14","cited_by_count":238,"area":null},{"id":"2205.09707","title":"PLAID: An Efficient Engine for Late Interaction Retrieval","created":"2022-05-19","cited_by_count":101,"area":null},{"id":"2101.05667","title":"The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models","created":"2021-01-14","cited_by_count":81,"area":null},{"id":"2103.06413","title":"FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders","created":"2021-03-11","cited_by_count":75,"area":null},{"id":"2204.05511","title":"GERE: Generative Evidence Retrieval for Fact Verification","created":"2022-04-12","cited_by_count":38,"area":null},{"id":"2201.08471","title":"Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models","created":"2022-01-20","cited_by_count":36,"area":null},{"id":"2112.11031","title":"On Cross-Lingual Retrieval with Multilingual Text Encoders","created":"2021-12-21","cited_by_count":22,"area":null},{"id":"2212.06121","title":"In Defense of Cross-Encoders for Zero-Shot Retrieval","created":"2022-12-12","cited_by_count":21,"area":null},{"id":"2201.07745","title":"Improving Biomedical Information Retrieval with Neural Retrievers","created":"2022-01-19","cited_by_count":20,"area":null},{"id":"2403.00784","title":"Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challenges","created":"2024-02-18","cited_by_count":20,"area":null},{"id":"2105.12936","title":"Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence","created":"2021-05-27","cited_by_count":19,"area":null},{"id":"2204.02292","title":"Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval","created":"2022-04-05","cited_by_count":17,"area":null},{"id":"2206.02873","title":"No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval","created":"2022-06-06","cited_by_count":17,"area":null},{"id":"2101.08370","title":"Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval","created":"2021-01-21","cited_by_count":16,"area":null},{"id":"2102.11903","title":"Neural ranking models for document retrieval","created":"2021-02-23","cited_by_count":16,"area":null},{"id":"2204.11989","title":"C3: Continued Pretraining with Contrastive Weak Supervision for Cross Language Ad-Hoc Retrieval","created":"2022-04-25","cited_by_count":14,"area":null},{"id":"2505.18366","title":"Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems","created":"2025-05-23","cited_by_count":14,"area":null},{"id":"2101.10726","title":"Regulatory Compliance through Doc2Doc Information Retrieval: A case study in EU/UK legislation where text similarity has limitations","created":"2021-01-26","cited_by_count":13,"area":null},{"id":"2308.05502","title":"Bringing order into the realm of Transformer-based language models for artificial intelligence and law","created":"2023-08-10","cited_by_count":13,"area":null},{"id":"2105.01044","title":"Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review","created":"2021-05-03","cited_by_count":12,"area":null},{"id":"2311.09175","title":"Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers?","created":"2023-11-15","cited_by_count":12,"area":null},{"id":"2101.06980","title":"Mitigating the Position Bias of Transformer Models in Passage Re-Ranking","created":"2021-01-18","cited_by_count":10,"area":null},{"id":"2201.09992","title":"HC4: A New Suite of Test Collections for Ad Hoc CLIR","created":"2022-01-24","cited_by_count":10,"area":null},{"id":"2204.02725","title":"Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning","created":"2022-04-06","cited_by_count":10,"area":null},{"id":"2204.11673","title":"Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking","created":"2022-04-25","cited_by_count":10,"area":null},{"id":"2101.06984","title":"Studying Catastrophic Forgetting in Neural Ranking Models","created":"2021-01-18","cited_by_count":9,"area":null},{"id":"2109.02789","title":"Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval","created":"2021-09-07","cited_by_count":8,"area":null},{"id":"2112.13510","title":"Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement","created":"2021-12-27","cited_by_count":8,"area":null},{"id":"2209.00218","title":"Isotropic Representation Can Improve Dense Retrieval","created":"2022-09-01","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":"2404.14989","title":"A Reproducibility Study of PLAID","created":"2024-04-23","cited_by_count":8,"area":null},{"id":"2111.03651","title":"The Curious Layperson: Fine-Grained Image Recognition without Expert Labels","created":"2021-11-05","cited_by_count":7,"area":null},{"id":"2110.14943","title":"Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight Fine-Tuning","created":"2021-10-28","cited_by_count":6,"area":null},{"id":"2406.17968","title":"Efficient Document Ranking with Learnable Late Interactions","created":"2024-06-25","cited_by_count":6,"area":null},{"id":"2201.04458","title":"Diagnosing BERT with Retrieval Heuristics","created":"2022-01-12","cited_by_count":5,"area":null},{"id":"2308.08378","title":"Advancing continual lifelong learning in neural information retrieval: definition, dataset, framework, and empirical evaluation","created":"2023-08-16","cited_by_count":5,"area":null},{"id":"2310.09696","title":"Progressive Evidence Refinement for Open-domain Multimodal Retrieval Question Answering","created":"2023-10-15","cited_by_count":5,"area":null},{"id":"2401.05939","title":"DREQ: Document Re-Ranking Using Entity-based Query Understanding","created":"2024-01-11","cited_by_count":5,"area":null},{"id":"2201.00365","title":"Establishing Strong Baselines for TripClick Health Retrieval","created":"2022-01-02","cited_by_count":4,"area":null},{"id":"2201.03356","title":"Continual Learning of Long Topic Sequences in Neural Information Retrieval","created":"2022-01-10","cited_by_count":4,"area":null},{"id":"2403.20222","title":"Shallow Cross-Encoders for Low-Latency Retrieval","created":"2024-03-29","cited_by_count":4,"area":null},{"id":"2405.09334","title":"Content-Based Image Retrieval for Multi-Class Volumetric Radiology Images: A Benchmark Study","created":"2024-05-15","cited_by_count":4,"area":null},{"id":"2102.06815","title":"Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency Benefits","created":"2021-02-12","cited_by_count":3,"area":null},{"id":"2108.06279","title":"On Single and Multiple Representations in Dense Passage Retrieval","created":"2021-08-13","cited_by_count":3,"area":null},{"id":"2108.13300","title":"Deep Natural Language Processing for LinkedIn Search","created":"2021-08-16","cited_by_count":3,"area":null},{"id":"2201.05767","title":"Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems","created":"2022-01-15","cited_by_count":3,"area":null},{"id":"2305.18494","title":"Adapting Learned Sparse Retrieval for Long Documents","created":"2023-05-29","cited_by_count":3,"area":null},{"id":"2106.08908","title":"A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document Collections","created":"2021-06-16","cited_by_count":2,"area":null},{"id":"2205.14226","title":"Fast and Light-Weight Answer Text Retrieval in Dialogue Systems","created":"2022-05-27","cited_by_count":2,"area":null},{"id":"2207.01262","title":"Positional Bias in Long-Document Ranking: Impact, Assessment, and Mitigation","created":"2022-07-04","cited_by_count":2,"area":null},{"id":"2211.03988","title":"Unsupervised Domain Adaptation for Sparse Retrieval by Filling Vocabulary and Word Frequency Gaps","created":"2022-11-08","cited_by_count":2,"area":null},{"id":"2301.10521","title":"ExaRanker: Explanation-Augmented Neural Ranker","created":"2023-01-25","cited_by_count":2,"area":null},{"id":"2405.20994","title":"CWRCzech: 100M Query-Document Czech Click Dataset and Its Application to Web Relevance Ranking","created":"2024-05-31","cited_by_count":2,"area":null},{"id":"2108.06010","title":"GQE-PRF: Generative Query Expansion with Pseudo-Relevance Feedback","created":"2021-08-13","cited_by_count":1,"area":null},{"id":"2109.04611","title":"Query-driven Segment Selection for Ranking Long Documents","created":"2021-09-10","cited_by_count":1,"area":null},{"id":"2211.04142","title":"Query-Specific Knowledge Graphs for Complex Finance Topics","created":"2022-11-08","cited_by_count":1,"area":null},{"id":"2302.06589","title":"Improving Out-of-Distribution Generalization of Neural Rerankers with Contextualized Late Interaction","created":"2023-02-13","cited_by_count":1,"area":null},{"id":"2510.11589","title":"QDER: Query-Specific Document and Entity Representations for Multi-Vector Document Re-Ranking","created":"2025-10-13","cited_by_count":1,"area":null},{"id":"2512.16843","title":"LLMCache: Layer-Wise Caching Strategies for Accelerated Reuse in Transformer Inference","created":"2025-12-18","cited_by_count":1,"area":null},{"id":"2601.09515","title":"SERM: Self-Evolving Relevance Model with Agent-Driven Learning from Massive Query Streams","created":"2026-01-14","cited_by_count":1,"area":null},{"id":"2602.02444","title":"RANKVIDEO: Reasoning Reranking for Text-to-Video Retrieval","created":"2026-02-02","cited_by_count":1,"area":null},{"id":"2108.06014","title":"TPRM: A Topic-based Personalized Ranking Model for Web Search","created":"2021-08-13","cited_by_count":0,"area":null},{"id":"2108.08252","title":"Deep Natural Language Processing for LinkedIn Search Systems","created":"2021-07-30","cited_by_count":0,"area":null},{"id":"2211.10678","title":"Entity-Assisted Language Models for Identifying Check-worthy Sentences","created":"2022-11-19","cited_by_count":0,"area":null},{"id":"2307.00370","title":"Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model","created":"2023-07-01","cited_by_count":0,"area":null},{"id":"2403.16915","title":"Coarse-Tuning for Ad-hoc Document Retrieval Using Pre-trained Language Models","created":"2024-03-25","cited_by_count":0,"area":null},{"id":"2504.20679","title":"Are Information Retrieval Approaches Good at Harmonising Longitudinal Survey Questions in Social Science?","created":"2025-04-29","cited_by_count":0,"area":null},{"id":"2505.04434","title":"Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems","created":"2025-05-07","cited_by_count":0,"area":null},{"id":"2506.03822","title":"CRAWLDoc: A Dataset for Robust Ranking of Bibliographic Documents","created":"2025-06-04","cited_by_count":0,"area":null},{"id":"2507.20718","title":"Uncertainty-driven Embedding Convolution","created":"2025-07-28","cited_by_count":0,"area":null},{"id":"2608.16309","title":"Static Pruning Across Sparse Retrieval Regimes: What Transfers, What Breaks, and What Still Helps","created":"2026-08-17","cited_by_count":0,"area":null}],"next_cursor":null}