Who cites «SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval»
- Unsupervised Dense Information Retrieval with Contrastive LearningarXiv:2112.09118Gautier Izacard, Mathilde Caron, Lucas Hosseini, et al.2021 · 836 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 · 485 citations
- Text and Code Embeddings by Contrastive Pre-TrainingarXiv:2201.10005Arvind Neelakantan, Tao Xu, Raul Puri, et al.2022 · 323 citations
- SGPT: GPT Sentence Embeddings for Semantic SearcharXiv:2202.08904Niklas Muennighoff2022 · 189 citations
- On the Risk of Misinformation Pollution with Large Language ModelsFindings of the Association for Computational LinguisticsYikang Pan, Liangming Pan, Wenhu Chen, et al.2023 · 179 citations
- Promptagator: Few-shot Dense Retrieval From 8 ExamplesarXiv:2209.11755Zhuyun Dai, Vincent Y. Zhao, Ji Ma, et al.2022 · 170 citations
- 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
- AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
- Optimized Text Embedding Models and Benchmarks for Amharic Passage RetrievalFindings of the Association for Computational LinguisticsKidist Amde Mekonnen, Yosef Worku Alemneh, Maarten de Rijke2025 · 4 citations
- 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
- AmharicIR+Instr: A Two-Dataset Resource for Neural Retrieval and Instruction TuningarXiv:2602.09914Tilahun Yeshambel, Moncef Garouani, Josiane Mothe2026
- SYMDIREC: A Neuro-Symbolic Divide-Retrieve-Conquer Framework for Enhanced RTL Synthesis and SummarizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Prashanth Vijayaraghavan, Apoorva Nitsure, Luyao Shi, et al.2026
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