🧑‍🔬 Who cites Daniel Tarlow

466 citations of their works from 461 papers of our library (of the 149,439 whose bibliographies we read) · 79 with a page here, the most cited first · ← Daniel Tarlow

1. A Comprehensive Survey on Graph Neural NetworksIEEE Transactions on Neural Networks and Learning SystemsZonghan Wu, Shirui Pan, Fengwen Chen, et al.2019 · 10,312 citations
2. Graph Attention NetworksarXiv:1710.10903Petar Veličkovic, Guillem Cucurull, Arantxa Casanova, et al.2017 · 9,035 citations
3. Semi-Supervised Classification with Graph Convolutional NetworksarXiv:1609.02907Thomas N. Kipf, Max Welling2016 · 9,023 citations
4. Inductive Representation Learning on Large GraphsarXiv:1706.02216William L. Hamilton, Rex Ying, Jure Leskovec2017 · 4,795 citations
5. Neural Message Passing for Quantum ChemistryarXiv:1704.01212Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, et al.2017 · 3,793 citations
6. Evaluating Large Language Models Trained on CodearXiv:2107.03374Mark Chen, Jerry Tworek, Heewoo Jun, et al.2021 · 2,659 citations
7. Relational inductive biases, deep learning, and graph networksarXiv:1806.01261Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al.2018 · 2,335 citations
8. Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringConference on Neural Information Processing Systems (NeurIPS)Michael Defferrard, Xavier Bresson, Pierre Vandergheynst2016 · 1,861 citations
9. Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL TaskConference on Empirical Methods in Natural Language Processing (EMNLP)Tao Yu, Rui Zhang, Kai Yang, et al.2018 · 1,602 citations
10. Fast Graph Representation Learning with PyTorch GeometricarXiv:1903.02428Matthias Fey, Jan Eric Lenssen2019 · 1,440 citations
11. 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
12. A Syntactic Neural Model for General-Purpose Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Pengcheng Yin, Graham Neubig2017 · 788 citations
13. How Powerful are Graph Neural Networks?arXiv:1810.00826Keyulu Xu, Weihua Hu, Jure Leskovec, et al.2018 · 655 citations
14. A simple neural network module for relational reasoningarXiv:1706.01427Adam Santoro, David Raposo, David G. T. Barrett, et al.2017 · 632 citations
15. Cross-Sentence N-ary Relation Extraction with Graph LSTMsTransactions of the Association for Computational Linguistics (TACL)Nanyun Peng, Hoifung Poon, Chris Quirk, et al.2017 · 557 citations
16. Graph-to-Sequence Learning using Gated Graph Neural NetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Daniel Beck, Gholamreza Haffari, Trevor Cohn2018 · 459 citations
17. Diffusion-LM Improves Controllable Text GenerationarXiv:2205.14217Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, et al.2022 · 440 citations
18. Learning to Mine Aligned Code and Natural Language Pairs from Stack OverflowarXiv:1805.08949Pengcheng Yin, Bowen Deng, Edgar Chen, et al.2018 · 308 citations
19. TypeSQL: Knowledge-Based Type-Aware Neural Text-to-SQL GenerationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Tao Yu, Zifan Li, Zilin Zhang, et al.2018 · 303 citations
20. Representing Schema Structure with Graph Neural Networks for Text-to-SQL ParsingAnnual Meeting of the Association for Computational Linguistics (ACL)Ben Bogin, Jonathan Berant, Matt Gardner2019 · 272 citations
21. Learning a SAT Solver from Single-Bit SupervisionarXiv:1802.03685Daniel Selsam, Matthew Lamm, Benedikt Bünz, et al.2018 · 232 citations
22. Tracking the World State with Recurrent Entity NetworksInternational Conference on Learning Representations (ICLR)Mikael Henaff, Jason Weston, Arthur Szlam, et al.2016 · 228 citations
23. A Convolutional Attention Network for Extreme Summarization of Source CodearXiv:1602.03001Miltiadis Allamanis, Hao Peng, Charles Sutton2016 · 198 citations
24. Densely Connected Graph Convolutional Networks for Graph-to-Sequence LearningTransactions of the Association for Computational Linguistics (TACL)Zhijiang Guo, Yan Zhang, Zhiyang Teng, et al.2019 · 193 citations
25. DiffuSeq: Sequence to Sequence Text Generation with Diffusion ModelsarXiv:2210.08933Shansan Gong, Mukai Li, Jiangtao Feng, et al.2022 · 189 citations
26. Large Language Diffusion ModelsConference on Neural Information Processing Systems (NeurIPS)Shen Nie, Fengqi Zhu, Zebin You, et al.2025 · 178 citations
27. KGPT: Knowledge-Grounded Pre-Training for Data-to-Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Wenhu Chen, Yu Su, Xifeng Yan, et al.2020 · 174 citations
28. A Survey of Machine Learning for Big Code and NaturalnessACM Computing SurveysMiltiadis Allamanis, Earl T. Barr, Premkumar Devanbu, et al.2017 · 167 citations
29. Semantic Neural Machine Translation Using AMRLinfeng Song, Daniel Gildea, Yue Zhang, et al.2019 · 159 citations
30. PyMT5: multi-mode translation of natural language and Python code with transformersConference on Empirical Methods in Natural Language Processing (EMNLP)Colin Clement, Dawn Drain, Jonathan Timcheck, et al.2020 · 158 citations
31. Simple and Effective Masked Diffusion Language ModelsConference on Neural Information Processing Systems (NeurIPS)Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, et al.2024 · 152 citations
32. DiffusionBERT: Improving Generative Masked Language Models with Diffusion ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhengfu He, Tianxiang Sun, Qiong Tang, et al.2023 · 136 citations
33. A parallel corpus of Python functions and documentation strings for automated code documentation and code generationarXiv:1707.02275Antonio Valerio Miceli Barone, Rico Sennrich2017 · 135 citations
34. Semantic Graphs for Generating Deep QuestionsAnnual Meeting of the Association for Computational Linguistics (ACL)Liangming Pan, Yuxi Xie, Yansong Feng, et al.2020 · 134 citations
35. Learning to Represent Programs with GraphsarXiv:1711.00740Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi2017 · 127 citations
36. AMR-To-Text Generation with Graph TransformerTransactions of the Association for Computational Linguistics (TACL)Tianming Wang, Xiaojun Wan, Hanqi Jin2020 · 108 citations
37. Premise Selection for Theorem Proving by Deep Graph EmbeddingarXiv:1709.09994Mingzhe Wang, Yihe Tang, Jian Wang, et al.2017 · 106 citations
38. Discrete Diffusion Modeling by Estimating the Ratios of the Data DistributionarXiv:2310.16834Aaron Lou, Chenlin Meng, Stefano Ermon2023 · 96 citations
39. Simplified and Generalized Masked Diffusion for Discrete DataConference on Neural Information Processing Systems (NeurIPS)Jiaxin Shi, Kehang Han, Zhe Wang, et al.2024 · 90 citations
40. Dream 7B: Diffusion Large Language ModelsarXiv:2508.15487Jiacheng Ye; Zhihui Xie; Lin Zheng; Jiahui Gao; Zirui Wu; Xin Jiang; Zhenguo Li;, Lingpeng Kong2025 · 89 citations
41. A General Path-Based Representation for Predicting Program PropertiesACM SIGPLAN NoticesUri Alon, Meital Zilberstein, Omer Levy, et al.2018 · 89 citations
42. JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Rajas Agashe, Srinivasan Iyer, Luke Zettlemoyer2019 · 75 citations
43. code2seq: Generating Sequences from Structured Representations of CodearXiv:1808.01400Uri Alon, Shaked Brody, Omer Levy, et al.2018 · 72 citations
44. Turbo Parsers: Dependency Parsing by Approximate Variational InferenceConference on Empirical Methods in Natural Language Processing (EMNLP)André Martins, Noah Smith, Eric Xing, et al.2010 · 69 citations
45. Structural Language Models of CodearXiv:1910.00577Uri Alon, Roy Sadaka, Omer Levy, et al.2019 · 55 citations
46. Self-Supervised Bug Detection and RepairarXiv:2105.12787Miltiadis Allamanis, Henry Jackson-Flux, Marc Brockschmidt2021 · 50 citations
47. LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fengqi Zhu, Rongzhen Wang, Shen Nie, et al.2026 · 49 citations
48. DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion ModelsFindings of the Association for Computational LinguisticsShansan Gong, Mukai Li, Jiangtao Feng, et al.2023 · 33 citations
49. Graph Representations for Higher-Order Logic and Theorem ProvingProceedings of the AAAI Conference on Artificial IntelligenceAditya Paliwal, Sarah Loos, Markus Rabe, et al.2019 · 33 citations
50. Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem ProvingarXiv:2305.16366Xueliang Zhao, Wenda Li, Lingpeng Kong2023 · 29 citations
51. Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed InferencearXiv:2508.02193Yuxuan Song, Zheng Zhang, Cheng Luo, et al.2025 · 28 citations
52. Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference !Findings of the Association for Computational LinguisticsZecheng Tang, Pinzheng Wang, Keyan Zhou, et al.2023 · 18 citations
53. A Survey on Latent ReasoningarXiv:2507.06203Rui-Jie Zhu, Tianhao Peng, Tianhao Cheng, et al.2025 · 15 citations
54. Automated Theorem Proving in Intuitionistic Propositional Logic by Deep Reinforcement LearningarXiv:1811.00796Mitsuru Kusumoto, Keisuke Yahata, Masahiro Sakai2018 · 15 citations
55. Diffusion vs. Autoregressive Language Models: A Text Embedding PerspectiveConference on Empirical Methods in Natural Language Processing (EMNLP)Siyue Zhang, Yilun Zhao, Liyuan Geng, et al.2025 · 10 citations
56. Beyond Autoregression: Fast LLMs via Self-Distillation Through TimearXiv:2410.21035Justin Deschenaux, Caglar Gulcehre2024 · 10 citations
57. TESS 2: A Large-Scale Generalist Diffusion Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Jaesung Tae, Hamish Ivison, Sachin Kumar, et al.2025 · 9 citations
58. Attention Sinks in Diffusion Language ModelsFindings of the Association for Computational LinguisticsMaximo Eduardo Rulli, Simone Petruzzi, Edoardo Michielon, et al.2026 · 5 citations
59. d2: Improving Reasoning in Diffusion Language Models via Trajectory Likelihood EstimationarXiv:2509.21474Guanghan Wang, Gilad Turok, Yair Schiff, et al.2025 · 4 citations
60. dLLM: Simple Diffusion Language ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhanhui Zhou, Lingjie Chen, Hanghang Tong, et al.2026 · 3 citations
61. TreeDiff: AST-Guided Code Generation with Diffusion LLMsWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraYiming Zeng, Jinghan Cao, Zexin Li, et al.2026 · 3 citations
62. Beyond Hard Masks: Progressive Token Evolution for Diffusion Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Linhao Zhong, Linyu Wu, Bozhen Fang, et al.2026 · 2 citations
63. Focus-dLLM: Accelerating Long-Context Diffusion LLM Inference via Confidence-Guided Context FocusingAnnual Meeting of the Association for Computational Linguistics (ACL)Lingkun Long, Yushi Huang, Shihao Bai, et al.2026 · 2 citations
64. Improving the Throughput of Diffusion-based Large Language Models via a Training-Free Confidence-Aware CalibrationFindings of the Association for Computational LinguisticsJucheng Shen, Gaurav Sarkar, Yeonju Ro, et al.2026 · 2 citations
65. On-Policy Self-Distillation for Efficient Diffusion Language Models with Early-Stage CalibrationFindings of the Association for Computational LinguisticsHuaisheng Zhu, MingYu Liu, Junze Liu, et al.2026 · 2 citations
66. Efficient Self-Evaluation for Diffusion Language Models via Sequence RegenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Linhao Zhong, Linyu Wu, Wen Wang, et al.2026 · 1 citation
67. From Static Inference to Dynamic Interaction: A Survey of Streaming Large Language ModelsFindings of the Association for Computational LinguisticsJunlong Tong, Zilong Wang, YuJie Ren, et al.2026 · 1 citation
68. Amadeus: Autoregressive Model with Bidirectional Attribute Modelling for Symbolic MusicAnnual Meeting of the Association for Computational Linguistics (ACL)Hongju Su, Ke Li, Lan Yang, et al.2026
69. Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shun Zou, Yong Wang, Zehui Chen, et al.2026
70. DecoCal: Decoding with Calibration in Diffusion Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fan Xu, Huixuan Zhang, Xiaojun Wan2026
71. Diff4TST: Masked Diffusion Language Model for Text Style TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Xinchen Ma, Gaole He, Yunshi Lan, et al.2026
72. DIFFA-2: A Practical Diffusion Large Language Model for General Audio UnderstandingFindings of the Association for Computational LinguisticsJiaming Zhou, Xuxin Cheng, Shiwan Zhao, et al.2026
73. Diffusion with Truncated Blocks: Fast and High-Quality Text Generation using Truncated Block GenerationFindings of the Association for Computational LinguisticsYuyan Zhou, Weiyu Chen, James Kwok2026
74. DOS: Dependency-Oriented Sampler for Masked Diffusion Language ModelsFindings of the Association for Computational LinguisticsXueyu Zhou, Yangrong Hu, Jian Huang2026
75. From AR to Diffusion: Efficiently Adapting Large Language Models with Strictly Causal and Elastic HorizonsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangyu Ma, Teng Xiao, Zuchao Li, et al.2026
76. LR-DWM: Efficient Watermarking for Diffusion Language ModelsFindings of the Association for Computational LinguisticsOfek Raban, Gal Chechik, Ethan Fetaya2026
77. Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential TomorrowFindings of the Association for Computational LinguisticsYangyang Zhong, Yanmei Gu, Zhengqing Zang, et al.2026
78. PURE: Post-hoc Unlocking and REfinement for Discrete Diffusion DecodingFindings of the Association for Computational LinguisticsYangryeol Park, Kunhui Lee, Hanback Choi, et al.2026
79. RACC: Regret-Aware Confidence Calibration for Consistent Masked Discrete Diffusion DecodingFindings of the Association for Computational LinguisticsQinglin Zeng, Jusheng Zhang, Jing Yang, et al.2026

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