🧑‍🔬 Who cites Soren Auer

434 citations of their works from 432 papers of our library (of the 149,439 whose bibliographies we read) · 41 with a page here, the most cited first · ← Soren Auer

1. Character-level Convolutional Networks for Text ClassificationarXiv:1509.01626Xiang Zhang, Junbo Zhao, Yann LeCun2015 · 4,827 citations
2. Knowledge GraphsACM Computing SurveysAidan Hogan, Eva Blomqvist, Michael Cochez, et al.2020 · 2,014 citations
3. Multitask Prompted Training Enables Zero-Shot Task GeneralizationarXiv:2110.08207Victor Sanh, Albert Webson, Colin Raffel, et al.2021 · 1,612 citations
4. Knowledge Graph Refinement: A Survey of Approaches and Evaluation MethodsSemantic WebHeiko Paulheim2017 · 1,248 citations
5. From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)Anne Lauscher, Vinit Ravishankar, Ivan Vulić, et al.2020 · 463 citations
6. Adversarial Training Methods for Semi-Supervised Text ClassificationarXiv:1605.07725Takeru Miyato, Andrew M. Dai, Ian Goodfellow2016 · 433 citations
7. Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Shengding Hu, Ning Ding, Huadong Wang, et al.2022 · 362 citations
8. Lessons from Natural Language Inference in the Clinical DomainConference on Empirical Methods in Natural Language Processing (EMNLP)Alexey Romanov, Chaitanya Shivade2018 · 350 citations
9. Symbolic Knowledge Distillation: from General Language Models to Commonsense ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Peter West, Chandra Bhagavatula, Jack Hessel, et al.2022 · 349 citations
10. RLPrompt: Optimizing Discrete Text Prompts with Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.2022 · 338 citations
11. Generating Wikipedia by Summarizing Long SequencesarXiv:1801.10198Peter J. Liu, Mohammad Saleh, Etienne Pot, et al.2018 · 334 citations
12. OpenPrompt: An Open-source Framework for Prompt-learningAnnual Meeting of the Association for Computational Linguistics (ACL)Ning Ding, Shengding Hu, Weilin Zhao, et al.2022 · 279 citations
13. 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
14. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelarXiv:2402.07827Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 253 citations
15. Noisy Channel Language Model Prompting for Few-Shot Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Sewon Min, Mike Lewis, Hannaneh Hajishirzi, et al.2021 · 243 citations
16. Neural Arabic Question AnsweringArabic Natural Language Processing Workshop (WANLP)Hussein Mozannar, Elie Maamary, Karl El Hajal, et al.2019 · 206 citations
17. Revisiting DocRED - Addressing the False Negative Problem in Relation ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Qingyu Tan, Lu Xu, Lidong Bing, et al.2022 · 151 citations
18. Unified Demonstration Retriever for In-Context LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaonan Li, Kai Lv, Hang Yan, et al.2023 · 146 citations
19. Leveraging Abstract Meaning Representation for Knowledge Base Question AnsweringFindings of the Association for Computational LinguisticsPavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, et al.2021 · 141 citations
20. STransE: a novel embedding model of entities and relationships in knowledge basesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, et al.2016 · 130 citations
21. Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context LearningConference on Neural Information Processing Systems (NeurIPS)Xinyi Wang, Wanrong Zhu, Michael Saxon, et al.2023 · 116 citations
22. Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with ConfidenceProceedings of the AAAI Conference on Artificial IntelligenceRuobing Xie, Zhiyuan Liu, Fen Lin, et al.2017 · 93 citations
23. Reifying RDF: What Works Well With Wikidata?SSWS 2015 (ISWC workshop), CEUR-WS Vol-1457Daniel Hernández, Aidan Hogan, Markus Krötzsch2015 · 88 citations
24. Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic AnalysisTransactions of the Association for Computational Linguistics (TACL)Claudio Delli Bovi, Luca Telesca, Roberto Navigli2015 · 82 citations
25. Finding Support Examples for In-Context LearningFindings of the Association for Computational LinguisticsXiaonan Li, Xipeng Qiu2023 · 78 citations
26. Exploring the Benefits of Training Expert Language Models over Instruction TuningarXiv:2302.03202Joel Jang, Seungone Kim, Seonghyeon Ye, et al.2023 · 63 citations
27. In-context Pretraining: Language Modeling Beyond Document BoundariesarXiv:2310.10638Weijia Shi, Sewon Min, Maria Lomeli, et al.2023 · 61 citations
28. We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on TwitterCynthia Van Hee, Els Lefever, Véronique Hoste2018 · 39 citations
29. Pivot-based multilingual dictionary building using WiktionaryLanguage Resources and Evaluation Conference (LREC)Judit Acs2014 · 27 citations
30. Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even PerformanceConference on Empirical Methods in Natural Language Processing (EMNLP)Branislav Pecher, Ivan Srba, Maria Bielikova2025 · 24 citations
31. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
32. Code-Switching as a Social Act: The Case of Arabic Wikipedia Talk PagesWorkshop on NLP and Computational Social ScienceMichael Yoder, Shruti Rijhwani, Carolyn Rosé, et al.2017 · 13 citations
33. Survey on English Entity Linking on WikidataarXiv:2112.01989Cedric Möller, Jens Lehmann, Ricardo Usbeck2021 · 10 citations
34. It's absolutely divine! Can fine-grained sentiment analysis benefit from coreference resolution?Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC)Orphee De Clercq, Veronique Hoste2020 · 5 citations
35. Joint Knowledge Base Completion and Question Answering by Combining Large Language Models and Small Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yinan Liu, Dongying Lin, Sigang Luo, et al.2026 · 2 citations
36. Building and Evaluating Universal Named-Entity Recognition English corpusarXiv:2212.07162Diego Alves, Gaurish Thakkar, Marko Tadic2022 · 1 citation
37. Amharic DBpedia Chapter: A Knowledge Graph for a Low-Resource LanguageLanguage Resources and Evaluation Conference (LREC)HIzkiel Mitiku Alemayehu, Tilahun Abedissa Taffa, Meti Adane Bayissa, et al.2026
38. Evidence Grounding vs. Memorization: Why Neural Semantics Matter for Knowledge Graph Fact VerificationFact Extraction and VERification Workshop (FEVER)Ankit Kumar Upadhyay, John S. Erickson, Deborah L. McGuinness2026
39. Not All Modalities at Once: Dynamic Dropout and Bidirectional Fusion for Robust Multi-modal Knowledge Graph CompletionFindings of the Association for Computational LinguisticsJiashun Peng, Fu Zhang, Hongzhi Chen, et al.2026
40. Language Independent Named Entity Recognition via Orthogonal Transformation of Word VectorsarXiv:2503.14755Omar E. Rakha, Hazem M. Abbas2025
41. Survey on Representation Learning Methods of Knowledge Graph for Link Prediction (面向链接预测的知识图谱表示学习方法综述)Journal of SoftwareXueying Du (杜雪盈), Mingwei Liu (刘名威), Liwei Shen (沈立炜), et al.2023

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