🧑‍🔬 Who cites George E. Dahl

659 citations of their works from 595 papers of our library (of the 149,439 whose bibliographies we read) · 51 with a page here, the most cited first · ← George E. Dahl

1. A Comprehensive Survey on Graph Neural NetworksarXiv:1901.00596Zonghan Wu, Shirui Pan, Fengwen Chen, et al.2019 · 10,312 citations
2. Neural Message Passing for Quantum ChemistryarXiv:1704.01212Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, et al.2017 · 3,793 citations
3. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
4. Relational inductive biases, deep learning, and graph networksarXiv:1806.01261Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al.2018 · 2,335 citations
5. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,756 citations
6. Fast Graph Representation Learning with PyTorch GeometricarXiv:1903.02428Matthias Fey, Jan Eric Lenssen2019 · 1,440 citations
7. Encoding Sentences with Graph Convolutional Networks for Semantic Role LabelingConference on Empirical Methods in Natural Language Processing (EMNLP)Diego Marcheggiani, Ivan Titov2017 · 1,106 citations
8. GPQA: A Graduate-Level Google-Proof Q&A BenchmarkarXiv:2311.12022David Rein, Betty Li Hou, Asa Cooper Stickland, et al.2023 · 1,018 citations
9. PaLM 2 Technical ReportarXiv:2305.10403Rohan Anil, Andrew M. Dai, Orhan Firat, et al.2023 · 1,000 citations
10. DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in ConversationConference on Empirical Methods in Natural Language Processing (EMNLP)Deepanway Ghosal, Navonil Majumder, Soujanya Poria, et al.2019 · 853 citations
11. SWE-bench: Can Language Models Resolve Real-World GitHub Issues?arXiv:2310.06770Carlos E. Jimenez, John Yang, Alexander Wettig, et al.2024 · 704 citations
12. How Powerful are Graph Neural Networks?arXiv:1810.00826Keyulu Xu, Weihua Hu, Jure Leskovec, et al.2018 · 655 citations
13. Heterogeneous Graph Neural Networks for Extractive Document SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Danqing Wang, Pengfei Liu, Yining Zheng, et al.2020 · 370 citations
14. WANLI: Worker and AI Collaboration for Natural Language Inference Dataset CreationarXiv:2201.05955Alisa Liu, Swabha Swayamdipta, Noah A. Smith, et al.2022 · 317 citations
15. Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, et al.2020 · 300 citations
16. A Review of Large Language Models and Autonomous Agents in ChemistryarXiv:2407.01603Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White2024 · 288 citations
17. LexGLUE: A Benchmark Dataset for Legal Language Understanding in EnglisharXiv:2110.00976Ilias Chalkidis; Abhik Jana; Dirk Hartung; Michael Bommarito; Ion Androutsopoulos; Daniel Martin Katz;, Nikolaos Aletras2021 · 258 citations
18. Distinguish Confusing Law Articles for Legal Judgment PredictionAnnual Meeting of the Association for Computational Linguistics (ACL)Nuo Xu, Pinghui Wang, Long Chen, et al.2020 · 258 citations
19. LexGLUE: A Benchmark Dataset for Legal Language Understanding in EnglishAnnual Meeting of the Association for Computational Linguistics (ACL)Ilias Chalkidis, Abhik Jana, Dirk Hartung, et al.2022 · 239 citations
20. Multimodal Transformer for Multimodal Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Shaowei Yao, Xiaojun Wan2020 · 200 citations
21. Graph Convolutional Encoders for Syntax-aware Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Jasmijn Bastings, Ivan Titov, Wilker Aziz, et al.2017 · 194 citations
22. We Need to Consider Disagreement in EvaluationProceedings of the 1st Workshop on Benchmarking: Past, Present and FutureValerio Basile, Michael Fell, Tommaso Fornaciari, et al.2021 · 186 citations
23. QuALITY: Question Answering with Long Input Texts, Yes!Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, et al.2022 · 167 citations
24. Neural Networks and the Chomsky HierarchyarXiv:2207.02098Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, et al.2022 · 112 citations
25. AMR-To-Text Generation with Graph TransformerTransactions of the Association for Computational Linguistics (TACL)Tianming Wang, Xiaojun Wan, Hanqi Jin2020 · 108 citations
26. Graph-based Dependency Parsing with Graph Neural NetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Tao Ji, Yuanbin Wu, Man Lan2019 · 94 citations
27. Mapping global dynamics of benchmark creation and saturation in artificial intelligenceNature CommunicationsSimon Ott, Adriano Barbosa-Silva, Kathrin Blagec, et al.2022 · 93 citations
28. Improving Compositional Generalization with Latent Structure and Data AugmentationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Linlu Qiu, Peter Shaw, Panupong Pasupat, et al.2022 · 76 citations
29. StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in TextsZhengxiang Shi, Qiang Zhang, Aldo Lipani2022 · 71 citations
30. Language acquisition: do children and language models follow similar learning stages?arXiv:2306.03586Linnea Evanson, Yair Lakretz, Jean-Rémi King2023 · 53 citations
31. VariErr NLI: Separating Annotation Error from Human Label VariationAnnual Meeting of the Association for Computational Linguistics (ACL)Leon Weber-Genzel, Siyao Peng, Marie-Catherine De Marneffe, et al.2024 · 51 citations
32. Auxiliary task demands mask the capabilities of smaller language modelsarXiv:2404.02418Jennifer Hu, Michael C. Frank2024 · 41 citations
33. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
34. Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and modelsarXiv:2005.14709Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro2020 · 24 citations
35. Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task DesignTransactions of the Association for Computational Linguistics (TACL)Valentina Pyatkin, Frances Yung, Merel C. J. Scholman, et al.2023 · 19 citations
36. Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold StandardsInternational Conference on Computational SemanticsMarco Valentino, Ian Pratt-Hartmann, André Freitas2021 · 11 citations
37. PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster OutliersConference of the European Chapter of the Association for Computational Linguistics (EACL)Michael Saxon, Xinyi Wang, Wenda Xu, et al.2023 · 9 citations
38. MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of DocumentsTransactions of the Association for Computational Linguistics (TACL)Tomer Wolfson, Harsh Trivedi, Mor Geva, et al.2026 · 5 citations
39. Contrastive Learning of English Language and Crystal Graphs for Multimodal Representation of Materials KnowledgearXiv:2502.16451Yang Jeong Park, Mayank Kumaran, Chia-Wei Hsu, et al.2025 · 3 citations
40. FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference BenchmarkingFindings of the Association for Computational LinguisticsJabez Magomere, Elena Kochkina, Samuel Mensah, et al.2025 · 3 citations
41. From Statistical Relational to Neurosymbolic Artificial Intelligence: a SurveyarXiv:2108.11451Giuseppe Marra, Sebastijan Dumančić, Robin Manhaeve, et al.2021 · 3 citations
42. MÖVE: A Holistic LLM Benchmark for the German Public SectorarXiv:2606.13111Camilla Dalerci, Thilo Michael, Robin Schaefer, et al.2026 · 1 citation
43. Towards a Diagnostic and Predictive Evaluation Methodology for Sequence Labeling TasksLanguage Resources and Evaluation Conference (LREC)Elena Alvarez-Mellado, Julio Gonzalo2026 · 1 citation
44. Debiasing Logical Fallacy Detection for Real-World Robustness via Counterfactually Augmented DataAnnual Meeting of the Association for Computational Linguistics (ACL)Navyansh Singh2026
45. Graph-Based Alternatives to LLMs for Human SimulationAnnual Meeting of the Association for Computational Linguistics (ACL)Joseph Suh, Suhong Moon, Serina Chang2026
46. GraphLoRA: Structure-Aware Low-Rank Adaptation for Large Language Model RecommendationFindings of the Association for Computational LinguisticsLin Mu, Guoji Wang, Li Ni, et al.2026
47. Linguistic Initialization for Inductive Reasoning in Heterogeneous Knowledge GraphsKnowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26Daniele Pasquini, Danilo Croce, Roberto Basili2026
48. MCLE-Mol: Empowering LLM with Molecular Comprehension and Low-Cost Continual Evolution for Interpretable Property PredictionFindings of the Association for Computational LinguisticsZhili Pu, Lantian Zhang, Hao Duan, et al.2026
49. MuSe: Multi-Stage Graph Reasoning via Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Guanyu Wang, Xu Chu, Zhijie Tan, et al.2026
50. Methods for Constraint Solving Problems Based on Learn to Reason Model: A Review (基于学习-推理的约束求解方法研究进展)Journal of SoftwareYue Zou (邹悦), Jiayang Lai (赖家洋), Yonggang Zhang (张永刚)2023
51. Overview on Knowledge Graph Embedding Technology Research (知识图谱嵌入技术研究综述)Journal of SoftwareTiancheng Zhang (张天成), Xue Tian (田雪), Xianghui Sun (孙相会), et al.2021

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

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/george-e-dahl/cited-by/