🔗 Who cites «MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification»

66 papers of our library cite it (of the 141,840 whose bibliographies we read) · 8 with a page here, the most cited first · ← back to «MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification»

1. True Few-Shot Learning with Language ModelsarXiv:2105.11447Ethan Perez, Douwe Kiela, Kyunghyun Cho2021 · 404 citations
   Text Classification via Large Language ModelsFindings of the Association for Computational LinguisticsXiaofei Sun, Xiaoya Li, Jiwei Li, et al.2023 · 292 citations
   Text Classification Using Label Names Only: A Language Model Self-Training ApproachConference on Empirical Methods in Natural Language Processing (EMNLP)Yu Meng, Yunyi Zhang, Jiaxin Huang, et al.2020 · 274 citations
   GPT3Mix: Leveraging Large-scale Language Models for Text AugmentationFindings of the Association for Computational LinguisticsKang Min Yoo, Dongju Park, Jaewook Kang, et al.2021 · 268 citations
   An Empirical Survey of Data Augmentation for Limited Data Learning in NLPTransactions of the Association for Computational Linguistics (TACL)Jiaao Chen, Derek Tam, Colin Raffel, et al.2023 · 253 citations
2. Generating Training Data with Language Models: Towards Zero-Shot Language UnderstandingarXiv:2202.04538Yu Meng, Jiaxin Huang, Yu Zhang, et al.2022 · 207 citations
   STEMM: Self-learning with Speech-text Manifold Mixup for Speech TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Qingkai Fang, Rong Ye, Lei Li, et al.2022 · 133 citations
   Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be BetterAnnual Meeting of the Association for Computational Linguistics (ACL)Shengchao Liu, Xiaoming Liu, Yichen Wang, et al.2024 · 16 citations

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

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