Who cites Zhao Cao
- M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge DistillationarXiv:2402.03216Jianlv Chen, Shitao Xiao, Peitian Zhang, et al.2024 · 1,196 citations
- Towards General Text Embeddings with Multi-stage Contrastive LearningarXiv:2308.03281Zehan Li, Xin Zhang, Yanzhao Zhang, et al.2023 · 384 citations
- Fine-Tuning LLaMA for Multi-Stage Text RetrievalInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Xueguang Ma, Liang Wang, Nan Yang, et al.2023 · 257 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 · 237 citations
- Generative Representational Instruction TuningarXiv:2402.09906Niklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 172 citations
- Text Embeddings Reveal (Almost) As Much As TextConference on Empirical Methods in Natural Language Processing (EMNLP)John Morris, Volodymyr Kuleshov, Vitaly Shmatikov, et al.2023 · 147 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
- jina-embeddings-v3: Multilingual Embeddings With Task LoRAarXiv:2409.10173Saba Sturua, Isabelle Mohr, Mohammad Kalim Akram, et al.2024 · 109 citations
- Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long DocumentsarXiv:2310.19923Michael Gunther, Jackmin Ong, Isabelle Mohr, et al.2023 · 75 citations
- Making Text Embedders Few-Shot LearnersarXiv:2409.15700Chaofan Li, MingHao Qin, Shitao Xiao, et al.2024 · 60 citations
- TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence ConfigurationConference on Empirical Methods in Natural Language Processing (EMNLP)Yanshu Li, Jianjiang Yang, Tian Yun, et al.2025 · 22 citations
- The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model designConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Artem Snegirev, Maria Tikhonova, Maksimova Anna, et al.2025 · 19 citations
- DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense RetrieversAnnual Meeting of the Association for Computational Linguistics (ACL)Xueguang Ma, Xi Victoria Lin, Barlas Oguz, et al.2025 · 13 citations
- Qwen-Scope: Turning Sparse Features into Development Tools for Large Language ModelsarXiv:2605.11887Boyi Deng, Xu Wang, Yaoning Wang, et al.2026 · 3 citations
- Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhengyi Zhao, Shubo Zhang, Zezhong Wang, et al.2026
- Let Retrievers Think Before Action: Thought-Augmented Embedding for Dense RetrievalFindings of the Association for Computational LinguisticsRuiran Yan, Wen Xiong, Ze Liu, et al.2026
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