🔗 Who cites «Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification»

72 papers of our library cite it (of the 141,840 whose bibliographies we read) · 18 with a page here, the most cited first · ← back to «Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification»

1. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language ProcessingPengfei Liu, Weizhe Yuan, Jinlan Fu, et al.2021 · 5,396 citations
2. Making Pre-trained Language Models Better Few-shot LearnersTianyu Gao, Adam Fisch, Danqi Chen2021 · 1,963 citations
3. Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,552 citations
4. Template-Based Named Entity Recognition Using BARTLeyang Cui, Yu Wu, Jian Liu, et al.2021 · 420 citations
5. A Survey on Recent Approaches for Natural Language Processing in Low-Resource ScenariosMichael A. Hedderich, Lukas Lange, Heike Adel, et al.2021 · 400 citations
6. Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text ClassificationShengding Hu, Ning Ding, Huadong Wang, et al.2022 · 362 citations
7. RLPrompt: Optimizing Discrete Text Prompts with Reinforcement LearningMingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.2022 · 328 citations
8. How many data points is a prompt worth?Teven Le Scao, Alexander Rush2021 · 316 citations
9. Challenges in Detoxifying Language ModelsJohannes Welbl, Amelia Glaese, Jonathan Uesato, et al.2021 · 207 citations
10. On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot ReasoningOmar Shaikh, Hongxin Zhang, William Held, et al.2023 · 180 citations
11. Prompt-learning for Fine-grained Entity TypingNing Ding, Yulin Chen, Xu Han, et al.2022 · 180 citations
12. Thinking about GPT-3 In-Context Learning for Biomedical IE? Think AgainBernal Jimenez Gutierrez, Nikolas McNeal, Clayton Washington, et al.2022 · 179 citations
13. Few-Shot Text Generation with Natural Language InstructionsTimo Schick, Hinrich Schütze2021 · 166 citations
14. Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and EvaluationMarius Mosbach, Tiago Pimentel, Shauli Ravfogel, et al.2023 · 147 citations
15. Dynamic Prefix-Tuning for Generative Template-based Event ExtractionXiao Liu, Heyan Huang, Ge Shi, et al.2022 · 145 citations
16. Prompt Tuning with Contradictory Intentions for Sarcasm RecognitionYiyi Liu, Ruqing Zhang, Yixing Fan, et al.2023 · 24 citations
17. Pseudo Zero Pronoun Resolution Improves Zero Anaphora ResolutionRyuto Konno, Shun Kiyono, Yuichiroh Matsubayashi, et al.2021 · 14 citations
18. MaskedVerbalizer: Automatic Verbalizer Construction for Few-Shot Text Classification in Low-Resource Right-to-Left LanguagesFaizad Ullah, Furqan Sikandar, Areeba Waqar, et al.2026

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

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