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Who cites «SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation»

907 papers of our library cite it (of the 140,884 whose bibliographies we read) · 84 with a page here, the most cited first · ← the paper

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingJacob Devlin, Ming-Wei Chang, Kenton Lee, et al.2019 · 23,422 citations
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  8. SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding SystemsAlex Wang, Yada Pruksachatkun, Nikita Nangia, et al.2019 · 2,187 citations
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  11. Universal Sentence EncoderDaniel Cer, Yinfei Yang, Sheng-yi Kong, et al.2018 · 1,616 citations
  12. Universal Sentence Encoder for EnglishDaniel Cer, Yinfei Yang, Sheng-yi Kong, et al.2018 · 1,544 citations
  13. GLM: General Language Model Pretraining with Autoregressive Blank InfillingZhengxiao Du, Yujie Qian, Xiao Liu, et al.2022 · 1,449 citations
  14. Language-agnostic BERT Sentence EmbeddingFangxiaoyu Feng, Yinfei Yang, Daniel Cer, et al.2020 · 1,412 citations
  15. Unified Language Model Pre-training for Natural Language Understanding and GenerationLi Dong, Nan Yang, Wenhui Wang, et al.2019 · 1,389 citations
  16. Making Monolingual Sentence Embeddings Multilingual using Knowledge DistillationNils Reimers, Iryna Gurevych2020 · 1,320 citations
  17. DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding SharingPengcheng He, Jianfeng Gao, Weizhu Chen2021 · 1,316 citations
  18. What Makes Good In-Context Examples for GPT-3?Jiachang Liu, Dinghan Shen, Yizhe Zhang, et al.2022 · 1,235 citations
  19. Bias and Fairness in Large Language Models: A SurveyIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,072 citations
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  21. MPNet: Masked and Permuted Pre-training for Language UnderstandingKaitao Song, Xu Tan, Tao Qin, et al.2020 · 944 citations
  22. On the Sentence Embeddings from Pre-trained Language ModelsBohan Li, Hao Zhou, Junxian He, et al.2020 · 830 citations
  23. SentEval: An Evaluation Toolkit for Universal Sentence RepresentationsAlexis Conneau, Douwe Kiela2018 · 739 citations
  24. Revealing the Dark Secrets of BERTOlga Kovaleva, Alexey Romanov, Anna Rogers, et al.2019 · 737 citations
  25. Analysis Methods in Neural Language Processing: A SurveyYonatan Belinkov, James Glass2019 · 735 citations
  26. ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation TransferYuanmeng Yan, Rumei Li, Sirui Wang, et al.2021 · 647 citations
  27. Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text ModelsJianmo Ni, Gustavo Hernandez Abrego, Noah Constant, et al.2021 · 582 citations
  28. Multilingual Universal Sentence Encoder for Semantic RetrievalYinfei Yang, Daniel Cer, Amin Ahmad, et al.2020 · 571 citations
  29. DeCLUTR: Deep Contrastive Learning for Unsupervised Textual RepresentationsJohn Giorgi, Osvald Nitski, Bo Wang, et al.2021 · 513 citations
  30. Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data TasksJason Phang, Thibault Févry, Samuel R. Bowman2018 · 490 citations
  31. LinkBERT: Pretraining Language Models with Document LinksMichihiro Yasunaga, Jure Leskovec, Percy Liang2022 · 452 citations
  32. Pretrained Transformers Improve Out-of-Distribution RobustnessDan Hendrycks, Xiaoyuan Liu, Eric Wallace, et al.2020 · 442 citations
  33. Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied AgentsWenlong Huang, Pieter Abbeel, Deepak Pathak, et al.2022 · 420 citations
  34. BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-modelsElad Ben-Zaken, Shauli Ravfogel, Yoav Goldberg2021 · 388 citations
  35. UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-TrainingHangbo Bao, Li Dong, Furu Wei, et al.2020 · 380 citations
  36. Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic CoherenceFederico Bianchi, Silvia Terragni, Dirk Hovy2021 · 365 citations
  37. Revisiting Few-sample BERT Fine-tuningTianyi Zhang, Felix Wu, Arzoo Katiyar, et al.2020 · 361 citations
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  40. Muppet: Massive Multi-task Representations with Pre-FinetuningArmen Aghajanyan, Anchit Gupta, Akshat Shrivastava, et al.2021 · 299 citations
  41. SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized OptimizationHaoming Jiang, Pengcheng He, Weizhu Chen, et al.2020 · 291 citations
  42. AlignScore: Evaluating Factual Consistency with A Unified Alignment FunctionYuheng Zha, Yichi Yang, Ruichen Li, et al.2023 · 280 citations
  43. BAM! Born-Again Multi-Task Networks for Natural Language UnderstandingKevin Clark, Minh-Thang Luong, Urvashi Khandelwal, et al.2019 · 279 citations
  44. Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring TasksNandan Thakur, Nils Reimers, Johannes Daxenberger, et al.2021 · 275 citations
  45. DiffCSE: Difference-based Contrastive Learning for Sentence EmbeddingsYung-Sung Chuang, Rumen Dangovski, Hongyin Luo, et al.2022 · 269 citations
  46. Condenser: a Pre-training Architecture for Dense RetrievalLuyu Gao, Jamie Callan2021 · 261 citations
  47. Measuring and Reducing Gendered Correlations in Pre-trained ModelsKellie Webster, Xuezhi Wang, Ian Tenney, et al.2020 · 252 citations
  48. Generating Datasets with Pretrained Language ModelsTimo Schick, Hinrich Schutze2021 · 250 citations
  49. Curriculum Learning for Natural Language UnderstandingBenfeng Xu, Licheng Zhang, Zhendong Mao, et al.2020 · 239 citations
  50. mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text RetrievalXin Zhang, Yanzhao Zhang, Dingkun Long, et al.2024 · 236 citations
  51. Self-Guided Contrastive Learning for BERT Sentence RepresentationsTaeuk Kim, Kang Min Yoo, Sang-goo Lee2021 · 234 citations
  52. NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding ModelsChankyu Lee, Rajarshi Roy, Mengyao Xu, et al.2024 · 219 citations
  53. Structured Pruning Learns Compact and Accurate ModelsMengzhou Xia, Zexuan Zhong, Danqi Chen2022 · 216 citations
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  57. Structured Pruning of Large Language ModelsZiheng Wang, Jeremy Wohlwend, Tao Lei2020 · 196 citations
  58. Exploring and Predicting Transferability across NLP TasksTu Vu, Tong Wang, Tsendsuren Munkhdalai, et al.2020 · 192 citations
  59. Merging Models with Fisher-Weighted AveragingMichael Matena, Colin Raffel2021 · 190 citations
  60. SGPT: GPT Sentence Embeddings for Semantic SearchNiklas Muennighoff2022 · 187 citations
  61. Charformer: Fast Character Transformers via Gradient-based Subword TokenizationYi Tay, Vinh Q. Tran, Sebastian Ruder, et al.2021 · 179 citations
  62. Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLPRob van der Goot, Ahmet Üstün, Alan Ramponi, et al.2021 · 177 citations
  63. Debiasing Pre-trained Contextualised EmbeddingsMasahiro Kaneko, Danushka Bollegala2021 · 174 citations
  64. Controllable Paraphrase Generation with a Syntactic ExemplarMingda Chen, Qingming Tang, Sam Wiseman, et al.2019 · 173 citations
  65. Deduplicating Training Data Mitigates Privacy Risks in Language ModelsNikhil Kandpal, Eric Wallace, Colin Raffel2022 · 166 citations
  66. Sustainable Modular Debiasing of Language ModelsAnne Lauscher, Tobias Lueken, Goran Glavaš2021 · 165 citations
  67. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and ApproachesShane Storks, Qiaozi Gao, Joyce Y. Chai2019 · 134 citations
  68. Extracting Latent Steering Vectors from Pretrained Language ModelsNishant Subramani, Nivedita Suresh, Matthew Peters2022 · 131 citations
  69. I-BERT: Integer-only BERT QuantizationSehoon Kim, Amir Gholami, Zhewei Yao, et al.2021 · 118 citations
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  71. JGLUE: Japanese General Language Understanding EvaluationKentaro Kurihara, Daisuke Kawahara, Tomohide Shibata2022 · 90 citations
  72. AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language ModelsHarish Tayyar Madabushi, Edward Gow-Smith, Carolina Scarton, et al.2021 · 86 citations
  73. Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality TransferEleftheria Briakou, Sweta Agrawal, Joel Tetreault, et al.2021 · 49 citations
  74. Weisfeiler-Leman in the Bamboo: Novel AMR Graph Metrics and a Benchmark for AMR Graph SimilarityJuri Opitz, Angel Daza, Anette Frank2021 · 47 citations
  75. DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic RulesYanchen Liu, William Held, Diyi Yang2023 · 20 citations
  76. AR-ASAG An ARabic Dataset for Automatic Short Answer Grading EvaluationLeila Ouahrani, Djamal Bennouar2020 · 18 citations
  77. Deep Contextualized Pairwise Semantic Similarity for Arabic Language QuestionsHesham Al-Bataineh, Wael Farhan, Ahmad Mustafa, et al.2019 · 15 citations
  78. New Encoders for German Trained from Scratch: Comparing ModernGBERT with Converted LLM2Vec ModelsJulia Wunderle, Anton Ehrmanntraut, Jan Pfister, et al.2026 · 7 citations
  79. GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss TrainingOmer Nacar, Anis Koubaa, Serry Sibaee, et al.2025 · 7 citations
  80. Challenging the Transformer-based models with a Classical Arabic dataset: Quran and HadithShatha Altammami, Eric Atwell2022 · 6 citations
  81. Mitigating Language Bias in Multilingual Sentence Embeddings for Cross-Lingual Similarity EstimationKanade Nonomura, Keita Fukushima, Risa Kondo, et al.2026 · 1 citation
  82. A Recipe for Adapting Multilingual Embedders to OCR-Error Robustness and Historical TextsAndrianos Michail, Stylianos Psychias, Juri Opitz, et al.2026
  83. Detecting Experiential Intertextuality Across Migration Routes: Beyond Surface Similarity in French NarrativesSakayo Toadoum Sari, Nelly Robin, Michelle Auzanneau, et al.2026
  84. Paraphrasing as Zero-shot Translation with Feature-guided Diversity EnhancementZiyue Yan, Hongying Zan, Xinglin Lyu, et al.2026

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

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