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Who cites «Making Text Embedders Few-Shot Learners»

57 papers of our library cite it (of the 149,439 whose bibliographies we read) · 10 with a page here, the most cited first · ← back to «Making Text Embedders Few-Shot Learners»

  1. NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding ModelsarXiv:2405.17428Chankyu Lee, Rajarshi Roy, Mengyao Xu, et al.2024 · 222 citations
  2. Gemini Embedding: Generalizable Embeddings from GeminiarXiv:2503.07891Jinhyuk Lee, Feiyang Chen, Sahil Dua, et al.2025 · 45 citations
  3. Bilingual BSARD: Extending Statutory Article Retrieval to DutchProceedings of the 1st Regulatory NLP Workshop (RegNLP 2025)Ehsan Lotfi, Nikolay Banar, Nerses Yuzbashyan, et al.2025 · 5 citations
  4. IROH: Insightful Ranking Of Humor using Multi-Stage Hybrid Retrieval with Rationale-Distilled LLM Judges for JOKER 2026 Track Task 1 EnglisharXiv:2609.15618Ana-Maria Luisa Mocanu, Sebastian Mocanu, Ciprian-Octavian Truica, et al.2026

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

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