Who cites Montse Maritxalar
- Sentence-BERT: Sentence Embeddings using Siamese BERT-NetworksConference on Empirical Methods in Natural Language Processing (EMNLP)Nils Reimers, Iryna Gurevych2019 · 17,096 citations
- SimCSE: Simple Contrastive Learning of Sentence EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP)Tianyu Gao, Xingcheng Yao, Danqi Chen2021 · 3,942 citations
- SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused EvaluationInternational Workshop on Semantic Evaluation (SemEval)Daniel Cer, Mona Diab, Eneko Agirre, et al.2017 · 1,828 citations
- MTEB: Massive Text Embedding BenchmarkConference of the European Chapter of the Association for Computational Linguistics (EACL)Niklas Muennighoff, Nouamane Tazi, Loïc Magne, et al.2022 · 1,032 citations
- C-Pack: Packed Resources For General Chinese EmbeddingsInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Shitao Xiao, Zheng Liu, Peitian Zhang, et al.2023 · 922 citations
- On the Sentence Embeddings from Pre-trained Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Bohan Li, Hao Zhou, Junxian He, et al.2020 · 833 citations
- SentEval: An Evaluation Toolkit for Universal Sentence RepresentationsLanguage Resources and Evaluation Conference (LREC)Alexis Conneau, Douwe Kiela2018 · 747 citations
- ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanmeng Yan, Rumei Li, Sirui Wang, et al.2021 · 647 citations
- Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text ModelsFindings of the Association for Computational LinguisticsJianmo Ni, Gustavo Hernandez Abrego, Noah Constant, et al.2021 · 584 citations
- DeCLUTR: Deep Contrastive Learning for Unsupervised Textual RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)John Giorgi, Osvald Nitski, Bo Wang, et al.2021 · 516 citations
- ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine TranslationsAnnual Meeting of the Association for Computational Linguistics (ACL)John Wieting, Kevin Gimpel2018 · 504 citations
- A Continuously Growing Dataset of Sentential ParaphrasesConference on Empirical Methods in Natural Language Processing (EMNLP)Wuwei Lan, Siyu Qiu, Hua He, et al.2017 · 267 citations
- Generating Datasets with Pretrained Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Timo Schick, Hinrich Schutze2021 · 254 citations
- Charagram: Embedding Words and Sentences via Character n-gramsConference on Empirical Methods in Natural Language Processing (EMNLP)John Wieting, Mohit Bansal, Kevin Gimpel, et al.2016 · 242 citations
- Self-Guided Contrastive Learning for BERT Sentence RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Taeuk Kim, Kang Min Yoo, Sang-goo Lee2021 · 234 citations
- Beyond BLEU: Training Neural Machine Translation with Semantic SimilarityAnnual Meeting of the Association for Computational Linguistics (ACL)John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, et al.2019 · 223 citations
- An Unsupervised Sentence Embedding Method by Mutual Information MaximizationConference on Empirical Methods in Natural Language Processing (EMNLP)Yan Zhang, Ruidan He, Zuozhu Liu, et al.2020 · 213 citations
- Self-training Improves Pre-training for Natural Language UnderstandingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jingfei Du, Edouard Grave, Beliz Gunel, et al.2021 · 172 citations
- Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence EncodersConference on Empirical Methods in Natural Language Processing (EMNLP)Fangyu Liu, Ivan Vulić, Anna Korhonen, et al.2021 · 147 citations
- MMTEB: Massive Multilingual Text Embedding BenchmarkarXiv:2502.13595Kenneth Enevoldsen, Isaac Chung, Imene Kerboua, et al.2025 · 103 citations
- AnglE-optimized Text EmbeddingsarXiv:2309.12871Xianming Li, Jing Li2023 · 103 citations
- ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-TranslationKuan-Hao Huang, Varun Iyer, I-Hung Hsu, et al.2023 · 24 citations
- LIM-LIG at SemEval-2017 Task1: Enhancing the Semantic Similarity for Arabic Sentences with Vectors WeightingInternational Workshop on Semantic Evaluation (SemEval)El Moatez Billah Nagoudi, Jérémy Ferrero, Didier Schwab2017 · 21 citations
- Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuchen Fu, Zifeng Cheng, Zhiwei Jiang, et al.2025 · 10 citations
- UBC: Cubes for English Semantic Textual Similarity and Supervised Approaches for Interpretable STSInternational Workshop on Semantic Evaluation (SemEval)Eneko Agirre, Aitor Gonzalez-Agirre, Iñigo Lopez-Gazpio, et al.2015 · 10 citations
- Edition 2.0 of the PARSEME shared task on multilingual identification and paraphrasing of multiword expressionsWorkshop on Multiword Expressions (MWE)Manon Scholivet, Agata Savary, Carlos Ramisch, et al.2026 · 9 citations
- Contrastive Prompting Enhances Sentence Embeddings in LLMs through Inference-Time SteeringAnnual Meeting of the Association for Computational Linguistics (ACL)Zifeng Cheng, Zhonghui Wang, Yuchen Fu, et al.2025 · 8 citations
- Explainable Semantic Textual Similarity via Dissimilar Span DetectionLanguage Resources and Evaluation Conference (LREC)Diego Miguel Lozano, Daryna Dementieva, Alexander Fraser2026 · 1 citation
- AEA: Adaptive Expert Allocation Improves Sentence Embeddings from Mixture-of-Experts LLMAnnual Meeting of the Association for Computational Linguistics (ACL)Shufan Yang, Zifeng Cheng, Zhiwei Jiang, et al.2026
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