---
title: "Who cites Soren Auer — 432 papers of our library"
description: "432 papers of the Elamur Research library cite the works of Soren Auer, found in their bibliographies; the most cited first."
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---
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# 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](https://md.research.elamur.ai/free/en/authors/soren-auer/)

1. [**Character-level Convolutional Networks for Text Classification arXiv:1509.01626**Xiang Zhang, Junbo Zhao, Yann LeCun*2015 · 4,827 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2015-character-level-convolutional-networks-text/)
2. **[Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/hogan-2020-knowledge-graphs/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Aidan Hogan, Eva Blomqvist, Michael Cochez, et al.*2020 · 2,014 citations*
3. [**Multitask Prompted Training Enables Zero-Shot Task Generalization arXiv:2110.08207**Victor Sanh, Albert Webson, Colin Raffel, et al.*2021 · 1,612 citations*](https://md.research.elamur.ai/free/en/papers/sanh-2021-multitask-prompted-training-enables-zero/)
4. **[Knowledge Graph Refinement: A Survey of Approaches and Evaluation Methods](https://md.research.elamur.ai/free/en/papers/paulheim-2017-knowledge-graph-refinement-survey-approaches/) [Semantic Web](https://md.research.elamur.ai/free/en/venues/semantic-web/)**Heiko Paulheim*2017 · 1,248 citations*
5. **[From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers](https://md.research.elamur.ai/free/en/papers/lauscher-2020-zero-hero-limitations-zero-shot/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Anne Lauscher, Vinit Ravishankar, Ivan Vulić, et al.*2020 · 463 citations*
6. [**Adversarial Training Methods for Semi-Supervised Text Classification arXiv:1605.07725**Takeru Miyato, Andrew M. Dai, Ian Goodfellow*2016 · 433 citations*](https://md.research.elamur.ai/free/en/papers/miyato-2016-adversarial-training-methods-semi-supervised/)
7. **[Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification](https://md.research.elamur.ai/free/en/papers/hu-2022-knowledgeable-prompt-tuning-incorporating-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shengding Hu, Ning Ding, Huadong Wang, et al.*2022 · 362 citations*
8. **[Lessons from Natural Language Inference in the Clinical Domain](https://md.research.elamur.ai/free/en/papers/romanov-2018-lessons-natural-language-inference-clinical/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alexey Romanov, Chaitanya Shivade*2018 · 350 citations*
9. **[Symbolic Knowledge Distillation: from General Language Models to Commonsense Models](https://md.research.elamur.ai/free/en/papers/west-2022-symbolic-knowledge-distillation-general-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Peter West, Chandra Bhagavatula, Jack Hessel, et al.*2022 · 349 citations*
10. **[RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/deng-2022-rlprompt-optimizing-discrete-text-prompts/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.*2022 · 338 citations*
11. [**Generating Wikipedia by Summarizing Long Sequences arXiv:1801.10198**Peter J. Liu, Mohammad Saleh, Etienne Pot, et al.*2018 · 334 citations*](https://md.research.elamur.ai/free/en/papers/liu-2018-generating-wikipedia-summarizing-long-sequences/)
12. **[OpenPrompt: An Open-source Framework for Prompt-learning](https://md.research.elamur.ai/free/en/papers/ding-2022-openprompt-open-source-framework-prompt/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ning Ding, Shengding Hu, Weilin Zhao, et al.*2022 · 279 citations*
13. **[Text Classification Using Label Names Only: A Language Model Self-Training Approach](https://md.research.elamur.ai/free/en/papers/meng-2020-text-classification-label-names-only/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yu Meng, Yunyi Zhang, Jiaxin Huang, et al.*2020 · 274 citations*
14. [**Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model arXiv:2402.07827**Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.*2024 · 253 citations*](https://md.research.elamur.ai/free/en/papers/ustun-2024-aya-model-instruction-finetuned-open/)
15. **[Noisy Channel Language Model Prompting for Few-Shot Text Classification](https://md.research.elamur.ai/free/en/papers/min-2021-noisy-channel-language-model-prompting/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sewon Min, Mike Lewis, Hannaneh Hajishirzi, et al.*2021 · 243 citations*
16. **[Neural Arabic Question Answering](https://md.research.elamur.ai/free/en/papers/mozannar-2019-neural-arabic-question-answering/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Hussein Mozannar, Elie Maamary, Karl El Hajal, et al.*2019 · 206 citations*
17. **[Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction](https://md.research.elamur.ai/free/en/papers/tan-2022-revisiting-docred-addressing-false-negative/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Qingyu Tan, Lu Xu, Lidong Bing, et al.*2022 · 151 citations*
18. **[Unified Demonstration Retriever for In-Context Learning](https://md.research.elamur.ai/free/en/papers/li-2023-unified-demonstration-retriever-context-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaonan Li, Kai Lv, Hang Yan, et al.*2023 · 146 citations*
19. **[Leveraging Abstract Meaning Representation for Knowledge Base Question Answering](https://md.research.elamur.ai/free/en/papers/kapanipathi-2021-leveraging-abstract-meaning-representation-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, et al.*2021 · 141 citations*
20. **[STransE: a novel embedding model of entities and relationships in knowledge bases](https://md.research.elamur.ai/free/en/papers/nguyen-2016-stranse-novel-embedding-model-entities/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/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 Learning](https://md.research.elamur.ai/free/en/papers/wang-2023-large-language-models-latent-variable/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Xinyi Wang, Wanrong Zhu, Michael Saxon, et al.*2023 · 116 citations*
22. **[Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence](https://md.research.elamur.ai/free/en/papers/xie-2017-william-shakespeare-really-write-hamlet/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Ruobing 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-1457**Daniel Hernández, Aidan Hogan, Markus Krötzsch*2015 · 88 citations*](https://md.research.elamur.ai/free/en/papers/hernandez-2015-reifying-rdf-what-works-well/)
24. **[Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis](https://md.research.elamur.ai/free/en/papers/bovi-2015-large-scale-information-extraction-textual/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Claudio Delli Bovi, Luca Telesca, Roberto Navigli*2015 · 82 citations*
25. **[Finding Support Examples for In-Context Learning](https://md.research.elamur.ai/free/en/papers/li-2023-finding-support-examples-context-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaonan Li, Xipeng Qiu*2023 · 78 citations*
26. [**Exploring the Benefits of Training Expert Language Models over Instruction Tuning arXiv:2302.03202**Joel Jang, Seungone Kim, Seonghyeon Ye, et al.*2023 · 63 citations*](https://md.research.elamur.ai/free/en/papers/jang-2023-exploring-benefits-training-expert-language/)
27. [**In-context Pretraining: Language Modeling Beyond Document Boundaries arXiv:2310.10638**Weijia Shi, Sewon Min, Maria Lomeli, et al.*2023 · 61 citations*](https://md.research.elamur.ai/free/en/papers/shi-2023-context-pretraining-language-modeling-document/)
28. [**We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter**Cynthia Van Hee, Els Lefever, Véronique Hoste*2018 · 39 citations*](https://md.research.elamur.ai/free/en/papers/hee-2018-we-usually-don-t-like/)
29. **[Pivot-based multilingual dictionary building using Wiktionary](https://md.research.elamur.ai/free/en/papers/acs-2014-wikt2dict-pivot/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Judit Acs*2014 · 27 citations*
30. **[Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance](https://md.research.elamur.ai/free/en/papers/pecher-2025-comparing-specialised-small-general-large/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Branislav Pecher, Ivan Srba, Maria Bielikova*2025 · 24 citations*
31. **[AI4Research: A Survey of Artificial Intelligence for Scientific Research](https://md.research.elamur.ai/free/en/papers/chen-2025-ai4research-survey-artificial-intelligence/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Mingda Yang, Libo Qin, et al.*2025 · 21 citations*
32. **[Code-Switching as a Social Act: The Case of Arabic Wikipedia Talk Pages](https://md.research.elamur.ai/free/en/papers/yoder-2017-code-switching-as-social-act/) [Workshop on NLP and Computational Social Science](https://md.research.elamur.ai/free/en/venues/workshop-on-nlp-and-computational-social-science/)**Michael Yoder, Shruti Rijhwani, Carolyn Rosé, et al.*2017 · 13 citations*
33. [**Survey on English Entity Linking on Wikidata arXiv:2112.01989**Cedric Möller, Jens Lehmann, Ricardo Usbeck*2021 · 10 citations*](https://md.research.elamur.ai/free/en/papers/moller-2021-survey-english-entity-linking-wikidata/)
34. **[It's absolutely divine! Can fine-grained sentiment analysis benefit from coreference resolution?](https://md.research.elamur.ai/free/en/papers/clercq-2020-it-s-absolutely-divine-can/) [Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC)](https://md.research.elamur.ai/free/en/venues/crac/)**Orphee De Clercq, Veronique Hoste*2020 · 5 citations*
35. **[Joint Knowledge Base Completion and Question Answering by Combining Large Language Models and Small Language Models](https://md.research.elamur.ai/free/en/papers/liu-2026-joint-knowledge-base-completion-question/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yinan Liu, Dongying Lin, Sigang Luo, et al.*2026 · 2 citations*
36. [**Building and Evaluating Universal Named-Entity Recognition English corpus arXiv:2212.07162**Diego Alves, Gaurish Thakkar, Marko Tadic*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alves-2022-building-evaluating-universal-named-entity/)
37. **[Amharic DBpedia Chapter: A Knowledge Graph for a Low-Resource Language](https://md.research.elamur.ai/free/en/papers/alemayehu-2026-amharic-dbpedia-chapter-knowledge-graph/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/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 Verification](https://md.research.elamur.ai/free/en/papers/upadhyay-2026-evidence-grounding-vs-memorization-why/) [Fact Extraction and VERification Workshop (FEVER)](https://md.research.elamur.ai/free/en/venues/fever/)**Ankit Kumar Upadhyay, John S. Erickson, Deborah L. McGuinness*2026*
39. **[Not All Modalities at Once: Dynamic Dropout and Bidirectional Fusion for Robust Multi-modal Knowledge Graph Completion](https://md.research.elamur.ai/free/en/papers/peng-2026-not-all-modalities-once-dynamic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiashun Peng, Fu Zhang, Hongzhi Chen, et al.*2026*
40. [**Language Independent Named Entity Recognition via Orthogonal Transformation of Word Vectors arXiv:2503.14755**Omar E. Rakha, Hazem M. Abbas*2025*](https://md.research.elamur.ai/free/en/papers/rakha-2025-language-independent-named-entity-recognition/)
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)](https://md.research.elamur.ai/free/en/papers/du-2023-representation-learning-methods/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Xueying Du (杜雪盈), Mingwei Liu (刘名威), Liwei Shen (沈立炜), et al.*2023*

391 more citing papers of our library have no page here yet.

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