Who cites «Gecko: Versatile Text Embeddings Distilled from Large Language Models»
- NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding ModelsarXiv:2405.17428Chankyu Lee, Rajarshi Roy, Mengyao Xu, et al.2024 · 219 citations
- BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive RetrievalarXiv:2407.12883Hongjin Su, Howard Yen, Mengzhou Xia, et al.2024 · 70 citationsNew Encoders for German Trained from Scratch: Comparing ModernGBERT with Converted LLM2Vec ModelsLanguage Resources and Evaluation Conference (LREC)Julia Wunderle, Anton Ehrmanntraut, Jan Pfister, et al.2026 · 7 citations
- GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss TrainingarXiv:2505.24581Omer Nacar, Anis Koubaa, Serry Sibaee, et al.2025 · 7 citationsID10M-JAM: Stress-Testing Idiom Identification Under Challenging ContextFindings of the Association for Computational LinguisticsKai Golan Hashiloni, Lior Livyatan, Ofri Hefetz, et al.2026
Large Language Models for Information Retrieval: A SurveyACM Transactions on Information SystemsYutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen2023 · 335 citations
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 · 236 citations
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