🔗 Who cites «Commonsense Knowledge Mining from Pretrained Models»

156 papers of our library cite it (of the 140,884 whose bibliographies we read) · 21 with a page here, the most cited first · ← the paper

1. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language ProcessingPengfei Liu, Weizhe Yuan, Jinlan Fu, et al.2021 · 5,375 citations
2. Making Pre-trained Language Models Better Few-shot LearnersTianyu Gao, Adam Fisch, Danqi Chen2021 · 1,952 citations
3. Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language InferenceTimo Schick, Hinrich Schütze2021 · 1,796 citations
4. Pre-trained Models for Natural Language Processing: A SurveyXipeng Qiu, Tianxiang Sun, Yige Xu, et al.2020 · 1,740 citations
5. Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,548 citations
6. Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order SensitivityYao Lu, Max Bartolo, Alastair Moore, et al.2022 · 1,187 citations
7. It's Not Just Size That Matters: Small Language Models Are Also Few-Shot LearnersTimo Schick, Hinrich Schütze2021 · 1,118 citations
8. Large Language Models Are Human-Level Prompt EngineersYongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, et al.2022 · 677 citations
9. PPT: Pre-trained Prompt Tuning for Few-shot LearningYuxian Gu, Xu Han, Zhiyuan Liu, et al.2022 · 467 citations
10. Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied AgentsWenlong Huang, Pieter Abbeel, Deepak Pathak, et al.2022 · 420 citations
11. Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text ClassificationShengding Hu, Ning Ding, Huadong Wang, et al.2022 · 360 citations
12. Symbolic Knowledge Distillation: from General Language Models to Commonsense ModelsPeter West, Chandra Bhagavatula, Jack Hessel, et al.2022 · 343 citations
13. Surface Form Competition: Why the Highest Probability Answer Isn't Always RightAri Holtzman, Peter West, Vered Shwartz, et al.2021 · 271 citations
14. Trusting Your Evidence: Hallucinate Less with Context-aware DecodingWeijia Shi, Xiaochuang Han, Mike Lewis, et al.2024 · 240 citations
15. COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge GraphsJena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, et al.2020 · 235 citations
16. Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language ModelsBill Yuchen Lin, Seyeon Lee, Rahul Khanna, et al.2020 · 216 citations
17. Generative Data Augmentation for Commonsense ReasoningYiben Yang, Chaitanya Malaviya, Jared Fernandez, et al.2020 · 194 citations
18. Impact of Pretraining Term Frequencies on Few-Shot Numerical ReasoningYasaman Razeghi, Robert L Logan IV, Matt Gardner, et al.2022 · 162 citations
19. Reasoning with Language Model Prompting: A SurveyShuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 160 citations
20. Automatic Story Generation: Challenges and AttemptsAmal Alabdulkarim, Siyan Li, Xiangyu Peng2021 · 61 citations
21. Building Common Ground in Dialogue: A SurveyTatiana Anikina, Alina Leippert, Simon Ostermann2025 · 1 citation

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

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