🧑‍🔬 Who cites Marcin Andrychowicz

348 citations of their works from 296 papers of our library (of the 149,439 whose bibliographies we read) · 59 with a page here, the most cited first · ← Marcin Andrychowicz

1. Graph Attention NetworksarXiv:1710.10903Petar Veličkovic, Guillem Cucurull, Arantxa Casanova, et al.2017 · 9,035 citations
2. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
3. Relational inductive biases, deep learning, and graph networksarXiv:1806.01261Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al.2018 · 2,335 citations
4. Incorporating Copying Mechanism in Sequence-to-Sequence LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Jiatao Gu, Zhengdong Lu, Hang Li, et al.2016 · 1,915 citations
5. Program Synthesis with Large Language ModelsarXiv:2108.07732Jacob Austin, Augustus Odena, Maxwell Nye, et al.2021 · 1,192 citations
6. Inferring and Executing Programs for Visual ReasoningIEEE International Conference on Computer Vision (ICCV)Justin Johnson, Bharath Hariharan, Laurens van der Maaten, et al.2017 · 557 citations
7. Show your work: Scratchpads for intermediate computation with language models2021 · 473 citations
8. Tool Learning with Foundation ModelsACM Computing SurveysYujia Qin, Shengding Hu, Yankai Lin, et al.2023 · 383 citations
9. Augmented Language Models: a SurveyarXiv:2302.07842Grégoire Mialon, Roberto Dessì, Maria Lomeli, et al.2023 · 369 citations
10. BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference DatasetConference on Neural Information Processing Systems (NeurIPS)Jiaming Ji, Mickel Liu, Juntao Dai, et al.2023 · 362 citations
11. The Next Decade in AI: Four Steps Towards Robust Artificial IntelligencearXiv:2002.06177Gary Marcus2020 · 332 citations
12. Exploration by Random Network DistillationarXiv:1810.12894Yuri Burda, Harrison Edwards, Amos Storkey, et al.2018 · 302 citations
13. CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement LearningConference on Neural Information Processing Systems (NeurIPS)Hung Le, Yue Wang, Akhilesh Deepak Gotmare, et al.2022 · 297 citations
14. Scaling Relationship on Learning Mathematical Reasoning with Large Language ModelsarXiv:2308.01825Zheng Yuan, Hongyi Yuan, Chengpeng Li, et al.2023 · 261 citations
15. Generative Language Modeling for Automated Theorem ProvingarXiv:2009.03393Stanislas Polu, Ilya Sutskever2020 · 241 citations
16. Agent57: Outperforming the Atari Human BenchmarkarXiv:2003.13350Adrià Puigdomènech Badia, Bilal Piot, Steven Kapturowski, et al.2020 · 235 citations
17. Isaac Gym: High Performance GPU-Based Physics Simulation For Robot LearningarXiv:2108.10470Viktor Makoviychuk, Lukasz Wawrzyniak, Yunrong Guo, et al.2021 · 209 citations
18. Autoformalization with Large Language ModelsarXiv:2205.12615Yuhuai Wu, Albert Q. Jiang, Wenda Li, et al.2022 · 204 citations
19. Will we run out of data? Limits of LLM scaling based on human-generated dataarXiv:2211.04325Pablo Villalobos, Anson Ho, Jaime Sevilla, et al.2022 · 198 citations
20. Automatic Goal Generation for Reinforcement Learning AgentsarXiv:1705.06366Carlos Florensa, David Held, Xinyang Geng, et al.2017 · 181 citations
21. Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy OptimizationarXiv:2210.01241Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al.2022 · 174 citations
22. CLIPort: What and Where Pathways for Robotic ManipulationarXiv:2109.12098Mohit Shridhar, Lucas Manuelli, Dieter Fox2021 · 159 citations
23. Neuro-Symbolic Program SynthesisarXiv:1611.01855Emilio Parisotto, Abdel-rahman Mohamed, Rishabh Singh, et al.2016 · 152 citations
24. Understanding the Effects of RLHF on LLM Generalisation and DiversityarXiv:2310.06452Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, et al.2023 · 143 citations
25. Eureka: Human-Level Reward Design via Coding Large Language ModelsarXiv:2310.12931Yecheng Jason Ma, William Liang, Guanzhi Wang, et al.2023 · 142 citations
26. Chain of Hindsight Aligns Language Models with FeedbackarXiv:2302.02676Hao Liu, Carmelo Sferrazza, Pieter Abbeel2023 · 126 citations
27. Pre-Trained Language Models for Interactive Decision-MakingarXiv:2202.01771Shuang Li, Xavier Puig, Chris Paxton, et al.2022 · 124 citations
28. Reinforcement Learning on Web Interfaces Using Workflow-Guided ExplorationarXiv:1802.08802Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, et al.2018 · 119 citations
29. Scaling Laws for TransferarXiv:2102.01293Danny Hernandez, Jared Kaplan, Tom Henighan, et al.2021 · 118 citations
30. Programming with a Differentiable Forth InterpreterarXiv:1605.06640Matko Bošnjak, Tim Rocktäschel, Jason Naradowsky, et al.2016 · 116 citations
31. Gymnasium: A Standard Interface for Reinforcement Learning EnvironmentsarXiv:2407.17032Mark Towers, Ariel Kwiatkowski, Jordan Terry, et al.2024 · 113 citations
32. Neural Networks and the Chomsky HierarchyarXiv:2207.02098Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, et al.2022 · 112 citations
33. Foundation Models for Decision Making: Problems, Methods, and OpportunitiesarXiv:2303.04129Sherry Yang, Ofir Nachum, Yilun Du, et al.2023 · 92 citations
34. Reinforcement Learning via Self-DistillationarXiv:2601.20802Jonas Hubotter, Frederike Lubeck, Lejs Behric, et al.2026 · 74 citations
35. Training Software Engineering Agents and Verifiers with SWE-GymarXiv:2412.21139Jiayi Pan; Xingyao Wang; Graham Neubig; Navdeep Jaitly; Heng Ji; Alane Suhr;, Yizhe Zhang2024 · 73 citations
36. Leveraging Grammar and Reinforcement Learning for Neural Program SynthesisarXiv:1805.04276Rudy Bunel, Matthew Hausknecht, Jacob Devlin, et al.2018 · 66 citations
37. Program SynthesisFoundations and Trends in Programming Languages 4(1-2)Sumit Gulwani, Oleksandr Polozov, Rishabh Singh2017 · 63 citations
38. Learning Interactive Real-World SimulatorsarXiv:2310.06114Sherry Yang, Yilun Du, Kamyar Ghasemipour, et al.2023 · 54 citations
39. Darwin Godel Machine: Open-Ended Evolution of Self-Improving AgentsarXiv:2505.22954Jenny Zhang, Shengran Hu, Cong Lu, et al.2025 · 47 citations
40. A Survey on Deep Learning for Theorem ProvingarXiv:2404.09939Zhaoyu Li, Jialiang Sun, Logan Murphy, et al.2024 · 46 citations
41. STP: Self-play LLM Theorem Provers with Iterative Conjecturing and ProvingarXiv:2502.00212Kefan Dong, Tengyu Ma2025 · 43 citations
42. Language Conditioned Imitation Learning over Unstructured DataarXiv:2005.07648Corey Lynch, Pierre Sermanet2020 · 43 citations
43. Code Execution with Pre-trained Language ModelsFindings of the Association for Computational LinguisticsChenxiao Liu, Shuai Lu, Weizhu Chen, et al.2023 · 38 citations
44. Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement LearningarXiv:2402.05808Zhiheng Xi, Wenxiang Chen, Boyang Hong, et al.2024 · 36 citations
45. Human-Timescale Adaptation in an Open-Ended Task SpacearXiv:2301.07608Adaptive Agent Team, Jakob Bauer, Kate Baumli, et al.2023 · 36 citations
46. CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and GeneralizationarXiv:2310.10134Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Peter Jansen, et al.2023 · 34 citations
47. Aristotle: IMO-level Automated Theorem ProvingSuperIntelligence - Robotics - Safety & AlignmentTudor Achim, Alex Best, Alberto Bietti, et al.2025 · 29 citations
48. Length Generalization in Arithmetic TransformersarXiv:2306.15400Samy Jelassi, Stéphane d'Ascoli, Carles Domingo-Enrich, et al.2023 · 29 citations
49. Agent Learning via Early ExperiencearXiv:2510.08558Kai Zhang, Xiangchao Chen, Bo Liu, et al.2025 · 24 citations
50. Learning Formal Mathematics From Intrinsic MotivationConference on Neural Information Processing Systems (NeurIPS)Gabriel Poesia, David Broman, Nick Haber, et al.2024 · 23 citations
51. Can Large Reasoning Models Self-Train?arXiv:2505.21444Sheikh Shafayat, Fahim Tajwar, Ruslan Salakhutdinov, et al.2025 · 16 citations
52. OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in CodearXiv:2405.15568Maxence Faldor, Jenny Zhang, Antoine Cully, et al.2024 · 15 citations
53. Augmenting Autotelic Agents with Large Language ModelsarXiv:2305.12487Cedric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, et al.2023 · 11 citations
54. Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier EngineeringarXiv:2411.11504Xinyan Guan, Yanjiang Liu, Xinyu Lu, et al.2024 · 9 citations
55. Distilling Internet-Scale Vision-Language Models into Embodied AgentsarXiv:2301.12507Theodore Sumers, Kenneth Marino, Arun Ahuja, et al.2023 · 9 citations
56. CriticSearch: Fine-Grained Credit Assignment for Search Agents via a Retrospective CriticFindings of the Association for Computational LinguisticsYaocheng Zhang, Haohuan Huang, Zijun Song, et al.2026 · 6 citations
57. CRPS: Curriculum Replay via Progressive Suffixes from Successful Trajectories for Long-Horizon LLM AgentsFindings of the Association for Computational LinguisticsZijing Zhang, Xiajie Yang2026
58. From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Chen Zhan, Xiaoyu Tan, Gengchen Ma, et al.2026
59. Model-Based Imaginative Planning for Embodied AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Junru Song, Hengzhe Jin, Yucong Huang, et al.2026

237 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/marcin-andrychowicz/cited-by/