🧑‍🔬 Who cites Allan Hanbury

142 citations of their works from 142 papers of our library (of the 149,439 whose bibliographies we read) · 28 with a page here, the most cited first · ← Allan Hanbury

1. M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge DistillationarXiv:2402.03216Jianlv Chen, Shitao Xiao, Peitian Zhang, et al.2024 · 1,196 citations
2. Unsupervised Dense Information Retrieval with Contrastive LearningarXiv:2112.09118Gautier Izacard, Mathilde Caron, Lucas Hosseini, et al.2021 · 836 citations
3. Precise Zero-Shot Dense Retrieval without Relevance LabelsAnnual Meeting of the Association for Computational Linguistics (ACL)Luyu Gao, Xueguang Ma, Jimmy Lin, et al.2022 · 549 citations
4. ColBERTv2: Effective and Efficient Retrieval via Lightweight Late InteractionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, et al.2022 · 485 citations
5. Text and Code Embeddings by Contrastive Pre-TrainingarXiv:2201.10005Arvind Neelakantan, Tao Xu, Raul Puri, et al.2022 · 323 citations
6. Large Dual Encoders Are Generalizable RetrieversarXiv:2112.07899Jianmo Ni, Chen Qu, Jing Lu, et al.2021 · 280 citations
7. BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval ModelsNeurIPS 2021 Datasets and BenchmarksNandan Thakur, Nils Reimers, Andreas Rücklé, et al.2021 · 265 citations
8. RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-rankingConference on Empirical Methods in Natural Language Processing (EMNLP)Ruiyang Ren, Yingqi Qu, Jing Liu, et al.2021 · 256 citations
9. Tool Learning with Large Language Models: A SurveyFrontiers of Computer ScienceChangle Qu, Sunhao Dai, Xiaochi Wei, et al.2024 · 195 citations
10. SGPT: GPT Sentence Embeddings for Semantic SearcharXiv:2202.08904Niklas Muennighoff2022 · 189 citations
11. GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense RetrievalConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kexin Wang, Nandan Thakur, Nils Reimers, et al.2022 · 155 citations
12. Mr. TyDi: A Multi-lingual Benchmark for Dense RetrievalWorkshop on Multilingual Representation LearningXinyu Zhang, Xueguang Ma, Peng Shi, et al.2021 · 129 citations
13. Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question AnsweringarXiv:2306.04136Jinheon Baek, Alham Fikri Aji, Amir Saffari2023 · 119 citations
14. How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense RetrievalFindings of the Association for Computational LinguisticsSheng-Chieh Lin, Akari Asai, Minghan Li, et al.2023 · 116 citations
15. SimLM: Pre-training with Representation Bottleneck for Dense Passage RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Liang Wang, Nan Yang, Xiaolong Huang, et al.2023 · 106 citations
16. SPLADE v2: Sparse Lexical and Expansion Model for Information RetrievalarXiv:2109.10086Thibault Formal, Carlos Lassance, Benjamin Piwowarski, et al.2021 · 83 citations
17. RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language ModelsarXiv:2309.15088Ronak Pradeep, Sahel Sharifymoghaddam, Jimmy Lin2023 · 81 citations
18. MegaPairs: Massive Data Synthesis for Universal Multimodal RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Junjie Zhou, Yongping Xiong, Zheng Liu, et al.2025 · 26 citations
19. Cross-document Event Coreference Search: Task, Dataset and ModelingConference on Empirical Methods in Natural Language Processing (EMNLP)Alon Eirew, Avi Caciularu, Ido Dagan2022 · 15 citations
20. Explainability and Interpretability of Multilingual Large Language Models: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Lucas Resck, Isabelle Augenstein, Anna Korhonen2025 · 11 citations
21. Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance JudgmentsFindings of the Association for Computational LinguisticsYifan Simon Liu, Qianfeng Wen, Jiazhou Liang, et al.2026 · 4 citations
22. More Than Efficiency: Embedding Compression Improves Domain Adaptation in Dense RetrievalWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraChunsheng Zuo, Daniel Khashabi2026 · 2 citations
23. QueStER: Query Specification for Generative Keyword-Based RetrievalFindings of the Association for Computational LinguisticsArthur Satouf, Yuxuan Zong, Habiboulaye Amadou Boubacar, et al.2026 · 1 citation
24. Let Retrievers Think Before Action: Thought-Augmented Embedding for Dense RetrievalFindings of the Association for Computational LinguisticsRuiran Yan, Wen Xiong, Ze Liu, et al.2026
25. Negative Sampling Techniques in Dense Retrieval: A SurveyFindings of the Association for Computational LinguisticsLaurin Wischounig, Abdelrahman Abdallah, Adam Jatowt2026
26. TAMA: Target-Aware Multilingual Abuse Detection by Cascaded Conditional Multi-Task LearningAnnual Meeting of the Association for Computational Linguistics (ACL)JiYan Liu, Youzheng Liu, Taihang Wang, et al.2026
27. Test-Time Training for Zero-Resource Dense Retrieval RerankingWorkshop on Towards Knowledgeable Foundation ModelsShiyan Liu, Yichen Li2026
28. A Disaggregated Dataset on English Offensiveness Containing Spansedition of NLPerspectivesPia Pachinger, Janis Goldzycher, Anna M. Planitzer, et al.2025

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