🔗 Who cites «StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding»

84 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 «StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding»

1. Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerarXiv:1910.10683Colin Raffel, Noam Shazeer, Adam Roberts, et al.2019 · 11,325 citations
2. ALBERT: A Lite BERT for Self-supervised Learning of Language RepresentationsarXiv:1909.11942Zhenzhong Lan, Mingda Chen, Sebastian Goodman, et al.2019 · 2,806 citations
3. DeBERTa: Decoding-enhanced BERT with Disentangled AttentionarXiv:2006.03654Pengcheng He, Xiaodong Liu, Jianfeng Gao, et al.2020 · 1,828 citations
4. Pre-trained Models for Natural Language Processing: A SurveyarXiv:2003.08271 · SCIENCE CHINA Technological Sciences,2020, 63, 1872-1897Xipeng Qiu, Tianxiang Sun, Yige Xu, et al.2020 · 1,759 citations
5. SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Haoming Jiang, Pengcheng He, Weizhu Chen, et al.2020 · 304 citations
6. E-BERT: Efficient-Yet-Effective Entity Embeddings for BERTarXiv:1911.03681Nina Poerner, Ulli Waltinger, Hinrich Schutze2019 · 247 citations
7. COCO-LM: Correcting and Contrasting Text Sequences for Language Model PretrainingarXiv:2102.08473Yu Meng, Chenyan Xiong, Payal Bajaj, et al.2021 · 198 citations
8. Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error CorrectionFindings of the Association for Computational LinguisticsShirong Ma, Yinghui Li, Rongyi Sun, et al.2022 · 59 citations
9. CNSocialDepress: A Chinese Social Media Dataset for Depression Risk Detection and Structured AnalysisResources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments in cooperation with the MENTAL.ai consortiumJinyuan Xu, Tian Lan, Xintao Yu, et al.2026
10. LoRE: Enhancing Search Relevance with Progressive Chain-of-Thought and Preference AlignmentFindings of the Association for Computational LinguisticsChenji Lu, Zhuo Chen, Hui Zhao, et al.2026

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

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