🧑‍🔬 Who cites David G. T. Barrett

281 citations of their works from 273 papers of our library (of the 149,439 whose bibliographies we read) · 51 with a page here, the most cited first · ← David G. T. Barrett

1. Graph Attention NetworksarXiv:1710.10903Petar Veličkovic, Guillem Cucurull, Arantxa Casanova, et al.2017 · 9,035 citations
2. Relational inductive biases, deep learning, and graph networksarXiv:1806.01261Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al.2018 · 2,335 citations
3. GPT-4o System CardarXiv:2410.21276OpenAI, Aaron Hurst, Adam Lerer, et al.2024 · 2,304 citations
4. 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
5. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextarXiv:2403.05530Gemini Team, Petko Georgiev, Ving Ian Lei, et al.2024 · 1,589 citations
6. VisualBERT: A Simple and Performant Baseline for Vision and LanguagearXiv:1908.03557Liunian Harold Li, Mark Yatskar, Da Yin, et al.2019 · 1,568 citations
7. Graph Convolution over Pruned Dependency Trees Improves Relation ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Yuhao Zhang, Peng Qi, Christopher D. Manning2018 · 1,050 citations
8. A Corpus for Reasoning About Natural Language Grounded in Photographs (NLVR2)Alane Suhr, Stephanie Zhou, Ally Zhang, et al.2019 · 670 citations
9. How Powerful are Graph Neural Networks?arXiv:1810.00826Keyulu Xu, Weihua Hu, Jure Leskovec, et al.2018 · 655 citations
10. Attention Guided Graph Convolutional Networks for Relation ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhijiang Guo, Yan Zhang, Wei Lu2019 · 602 citations
11. Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language UnderstandingarXiv:1810.02338Kexin Yi, Jiajun Wu, Chuang Gan, et al.2018 · 407 citations
12. FiLM: Visual Reasoning with a General Conditioning LayerarXiv:1709.07871Ethan Perez, Florian Strub, Harm de Vries, et al.2017 · 400 citations
13. The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)arXiv:2309.17421Zhengyuan Yang, Linjie Li, Kevin Lin, et al.2023 · 311 citations
14. 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
15. Analysing Mathematical Reasoning Abilities of Neural ModelsarXiv:1904.01557David Saxton, Edward Grefenstette, Felix Hill, et al.2019 · 288 citations
16. The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural SupervisionarXiv:1904.12584Jiayuan Mao, Chuang Gan, Pushmeet Kohli, et al.2019 · 241 citations
17. FigureQA: An Annotated Figure Dataset for Visual ReasoningarXiv:1710.07300Samira Ebrahimi Kahou, Vincent Michalski, Adam Atkinson, et al.2017 · 240 citations
18. Compositional Attention Networks for Machine ReasoningarXiv:1803.03067Drew A. Hudson, Christopher D. Manning2018 · 213 citations
19. GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical ReasoningFindings of the Association for Computational LinguisticsJiaqi Chen, Jianheng Tang, Jinghui Qin, et al.2021 · 184 citations
20. Two Tales of Persona in LLMs: A Survey of Role-Playing and PersonalizationFindings of the Association for Computational LinguisticsYu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, et al.2024 · 179 citations
21. Measuring abstract reasoning in neural networksarXiv:1807.04225David G. T. Barrett, Felix Hill, Adam Santoro, et al.2018 · 173 citations
22. DeepProbLog: Neural Probabilistic Logic ProgrammingarXiv:1805.10872Robin Manhaeve, Sebastijan Dumančić, Angelika Kimmig, et al.2018 · 172 citations
23. Evaluating and Inducing Personality in Pre-trained Language ModelsConference on Neural Information Processing Systems (NeurIPS)Guangyuan Jiang, Manjie Xu, Song-Chun Zhu, et al.2022 · 168 citations
24. Abstraction and analogy-making in artificial intelligenceMelanie Mitchell2021 · 161 citations
25. MedGemma Technical ReportarXiv:2507.05201Andrew Sellergren, Sahar Kazemzadeh, Tiam Jaroensri, et al.2025 · 150 citations
26. HealthBench: Evaluating Large Language Models Towards Improved Human HealtharXiv:2505.08775Rahul K. Arora, Jason Wei, Rebecca Soskin Hicks, et al.2025 · 126 citations
27. UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical ExpressionConference on Empirical Methods in Natural Language Processing (EMNLP)Jiaqi Chen, Tong Li, Jinghui Qin, et al.2022 · 111 citations
28. Medical Graph RAG: Evidence-based Medical Large Language Model via Graph Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Junde Wu, Jiayuan Zhu, Yunli Qi, et al.2025 · 91 citations
29. HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMsarXiv:2412.18925Junying Chen, Zhenyang Cai, Ke Ji, et al.2024 · 87 citations
30. A Survey of Large Language Models in Medicine: Progress, Application, and ChallengearXiv:2311.05112Hongjian Zhou, Fenglin Liu, Boyang Gu, et al.2023 · 87 citations
31. Benchmarking Large Language Models on Answering and Explaining Challenging Medical QuestionsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hanjie Chen, Zhouxiang Fang, Yash Singla, et al.2025 · 75 citations
32. Small Language Models Learn Enhanced Reasoning Skills from Medical TextbooksarXiv:2404.00376Hyunjae Kim, Hyeon Hwang, Jiwoo Lee, et al.2024 · 75 citations
33. Systematic Generalization: What Is Required and Can It Be Learned?arXiv:1811.12889Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, et al.2018 · 73 citations
34. StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in TextsZhengxiang Shi, Qiang Zhang, Aldo Lipani2022 · 71 citations
35. A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable ContextProceedings of the AAAI Conference on Artificial IntelligenceTakuma Udagawa, Akiko Aizawa2019 · 68 citations
36. MedXpertQA: Benchmarking Expert-Level Medical Reasoning and UnderstandingarXiv:2501.18362Yuxin Zuo, Shang Qu, Yifei Li, et al.2025 · 65 citations
37. Large Language Models Are Not Strong Abstract ReasonersarXiv:2305.19555Gael Gendron, Qiming Bao, Michael Witbrock, et al.2023 · 61 citations
38. GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoningZilong Zheng, Shuwen Qiu, Lifeng Fan, et al.2021 · 36 citations
39. Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM EvaluationInternational Conference on Computational Linguistics (COLING)Siyuan Wang, Zhuohan Long, Zhihao Fan, et al.2025 · 30 citations
40. Maintaining Common Ground in Dynamic EnvironmentsTransactions of the Association for Computational Linguistics (TACL)Takuma Udagawa, Akiko Aizawa2021 · 13 citations
41. Neuro-Symbolic Artificial Intelligence: Current TrendsarXiv:2105.05330Md Kamruzzaman Sarker, Lu Zhou, Aaron Eberhart, et al.2021 · 12 citations
42. Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Jiayuan Zhu, Jiazhen Pan, Yuyuan Liu, et al.2025 · 10 citations
43. Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RLarXiv:2505.17952Che Liu, Haozhe Wang, Jiazhen Pan, et al.2025 · 10 citations
44. MedQA-CS: Objective Structured Clinical Examination (OSCE)-Style Benchmark for Evaluating LLM Clinical SkillsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zonghai Yao, Zihao Zhang, Chaolong Tang, et al.2026 · 3 citations
45. ClinDet-Bench: Beyond Abstention, Evaluating Judgment Determinability of LLMs in Clinical Decision-MakingAnnual Meeting of the Association for Computational Linguistics (ACL)Yusuke Watanabe, Yohei Kobashi, Takeshi Kojima, et al.2026 · 1 citation
46. Do Mixed-Vendor Multi-Agent LLMs Improve Clinical Diagnosis?Workshop on Linguistic Analysis for HealthGrace Chang Yuan, Xiaoman Zhang, Sung Eun Kim, et al.2026 · 1 citation
47. QA-KGNet: Language Model-driven Knowledge Graph Question-answering Model (QA-KGNet: 一种语言模型驱动的知识图谱问答模型)Journal of SoftwareShaojie Qiao (乔少杰), Guoping Yang (杨国平), Yong Yu (于泳), et al.2023 · 1 citation
48. Datasets for a Chatbot for Clinical Trial SearchWorkshop on Patient-Oriented Language Processing @ LRECYumeng Yang, Ethan Ludmir, Kirk Roberts2026
49. DocUA at CRF Filling 2026: LLM StructCore –- Schema-Guided Reasoning Condensation and Deterministic CompilationWorkshop on Patient-Oriented Language Processing @ LRECSerhii Zabolotnii2026
50. MHGraphBench: Knowledge Graph-Grounded Benchmarking of Mental Health Knowledge in Large Language ModelsWorkshop on Generation, Evaluation and Metrics (GEM)Weixin Liu, Congning Ni, Shelagh A. Mulvaney, et al.2026
51. RADO: Reasoning Audit-Driven Optimization for Rigorous Reasoning in High-Stakes DomainsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhijie Tan, Xu Chu, Guanyu Wang, et al.2026

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