🔗 Who cites «Learning Dense Representations of Phrases at Scale»

58 papers of our library cite it (of the 141,840 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Learning Dense Representations of Phrases at Scale»

1. Text Embeddings by Weakly-Supervised Contrastive Pre-trainingarXiv:2212.03533Liang Wang, Nan Yang, Xiaolong Huang, et al.2022 · 594 citations
   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 · 477 citations
   PAQ: 65 Million Probably-Asked Questions and What You Can Do With ThemTransactions of the Association for Computational Linguistics (TACL)Patrick Lewis, Yuxiang Wu, Linqing Liu, et al.2021 · 286 citations
   Re2G: Retrieve, Rerank, GenerateConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Michael Glass, Gaetano Rossiello, Md Faisal Mahbub Chowdhury, et al.2022 · 183 citations
   Simple Entity-Centric Questions Challenge Dense RetrieversConference on Empirical Methods in Natural Language Processing (EMNLP)Christopher Sciavolino, Zexuan Zhong, Jinhyuk Lee, et al.2021 · 168 citations
2. Gecko: Versatile Text Embeddings Distilled from Large Language ModelsarXiv:2403.20327Jinhyuk Lee, Zhuyun Dai, Xiaoqi Ren, et al.2024 · 72 citations

52 more papers of our library cite it; they have no page here yet.

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