Who cites «Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models»
- 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
- Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport DistillationarXiv:2301.12566Zhiqi Huang, Puxuan Yu, James Allan2023 · 46 citations
- Query Decomposition for RAG: Balancing Exploration-ExploitationConference of the European Chapter of the Association for Computational Linguistics (EACL)Roxana Petcu, Kenton Murray, Daniel Khashabi, et al.2026 · 2 citations
- The Overlooked Role of Graded Relevance Thresholds in Multilingual Dense RetrievalFindings of the Association for Computational LinguisticsTomer Wullach, Ori Shapira, Amir David Nissan Cohen2026
This page in Markdown → https://md.research.elamur.ai/free/en/papers/nair-2022-transfer-learning-approaches-building/cited-by/