🔗 Who cites «Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval»

78 papers of our library cite it (of the 149,439 whose bibliographies we read) · 22 with a page here, the most cited first · ← back to «Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval»

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. Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking AgentsConference on Empirical Methods in Natural Language Processing (EMNLP)Weiwei Sun, Lingyong Yan, Xinyu Ma, et al.2023 · 496 citations
5. Improving Text Embeddings with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Liang Wang, Nan Yang, Xiaolong Huang, et al.2024 · 437 citations
6. Multilingual E5 Text Embeddings: A Technical ReportarXiv:2402.05672Liang Wang, Nan Yang, Xiaolong Huang, et al.2024 · 346 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. mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text RetrievalConference on Empirical Methods in Natural Language Processing (EMNLP)Xin Zhang, Yanzhao Zhang, Dingkun Long, et al.2024 · 237 citations
9. NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding ModelsarXiv:2405.17428Chankyu Lee, Rajarshi Roy, Mengyao Xu, et al.2024 · 222 citations
10. LLM2Vec: Large Language Models Are Secretly Powerful Text EncodersarXiv:2404.05961Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, et al.2024 · 213 citations
11. RealTime QA: What's the Answer Right Now?Conference on Neural Information Processing Systems (NeurIPS)Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, et al.2022 · 181 citations
12. Generative Representational Instruction TuningarXiv:2402.09906Niklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 172 citations
13. MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse LanguagesTransactions of the Association for Computational Linguistics (TACL)Xinyu Zhang, Nandan Thakur, Odunayo Ogundepo, et al.2023 · 149 citations
14. Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing ExaminationsarXiv:2303.18027Jungo Kasai, Yuhei Kasai, Keisuke Sakaguchi, et al.2023 · 77 citations
15. Repetition Improves Language Model EmbeddingsarXiv:2402.15449Jacob Mitchell Springer, Suhas Kotha, Daniel Fried, et al.2024 · 73 citations
16. Making Text Embedders Few-Shot LearnersarXiv:2409.15700Chaofan Li, MingHao Qin, Shitao Xiao, et al.2024 · 60 citations
17. Qur'an QA 2023 Shared Task: Overview of Passage Retrieval and Reading Comprehension Tasks over the Holy Qur'anArabic Natural Language Processing Conference (ArabicNLP)Rana Malhas, Watheq Mansour, Tamer Elsayed2023 · 33 citations
18. The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model designConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Artem Snegirev, Maria Tikhonova, Maksimova Anna, et al.2025 · 19 citations
19. Swan and ArabicMTEB: Dialect-Aware, Arabic-Centric, Cross-Lingual, and Cross-Cultural Embedding Models and BenchmarksFindings of the Association for Computational LinguisticsGagan Bhatia, El Moatez Billah Nagoudi, Abdellah El Mekki, et al.2025 · 13 citations
20. GYM at Qur'an QA 2023 Shared Task: Multi-Task Transfer Learning for Quranic Passage Retrieval and Question Answering with Large Language ModelsArabic Natural Language Processing Conference (ArabicNLP)Ghazaleh Mahmoudi, Yeganeh Morshedzadeh, Sauleh Eetemadi2023 · 7 citations
21. AfriMTEB and AfriE5: Benchmarking and Adapting Text Embedding Models for African LanguagesConference of the European Chapter of the Association for Computational Linguistics (EACL)Kosei Uemura, Miaoran Zhang, David Ifeoluwa Adelani2026 · 4 citations
22. When Does Mixing Help? Analyzing Query Embedding Interpolation in Multilingual Dense RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Tongyao Zhu, Huang Chao Ming, Min-Yen Kan2026

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