---
title: "Who cites Marcin Andrychowicz — 296 papers of our library"
description: "296 papers of the Elamur Research library cite the works of Marcin Andrychowicz, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/marcin-andrychowicz/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/marcin-andrychowicz/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Marcin Andrychowicz](https://md.research.elamur.ai/free/en/authors/marcin-andrychowicz/) / cited by

# 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](https://md.research.elamur.ai/free/en/authors/marcin-andrychowicz/)

1. [**Graph Attention Networks arXiv:1710.10903**Petar Veličkovic, Guillem Cucurull, Arantxa Casanova, et al.*2017 · 9,035 citations*](https://md.research.elamur.ai/free/en/papers/veli-vckovic-2017-graph-attention-networks/)
2. [**On the Opportunities and Risks of Foundation Models arXiv:2108.07258**Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.*2021 · 3,160 citations*](https://md.research.elamur.ai/free/en/papers/bommasani-2021-opportunities-risks-foundation-models/)
3. [**Relational inductive biases, deep learning, and graph networks arXiv:1806.01261**Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al.*2018 · 2,335 citations*](https://md.research.elamur.ai/free/en/papers/battaglia-2018-relational-inductive-biases-deep-learning/)
4. **[Incorporating Copying Mechanism in Sequence-to-Sequence Learning](https://md.research.elamur.ai/free/en/papers/gu-2016-incorporating-copying-mechanism-sequence-sequence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiatao Gu, Zhengdong Lu, Hang Li, et al.*2016 · 1,915 citations*
5. [**Program Synthesis with Large Language Models arXiv:2108.07732**Jacob Austin, Augustus Odena, Maxwell Nye, et al.*2021 · 1,192 citations*](https://md.research.elamur.ai/free/en/papers/austin-2021-program-synthesis-large-language-models/)
6. **[Inferring and Executing Programs for Visual Reasoning](https://md.research.elamur.ai/free/en/papers/johnson-2017-inferring-executing-programs-visual-reasoning/) [IEEE International Conference on Computer Vision (ICCV)](https://md.research.elamur.ai/free/en/venues/ieee-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 models***2021 · 473 citations*](https://md.research.elamur.ai/free/en/papers/al-2021-show-your-work-scratchpads-intermediate/)
8. **[Tool Learning with Foundation Models](https://md.research.elamur.ai/free/en/papers/qin-2023-tool-learning-foundation-models/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Yujia Qin, Shengding Hu, Yankai Lin, et al.*2023 · 383 citations*
9. [**Augmented Language Models: a Survey arXiv:2302.07842**Grégoire Mialon, Roberto Dessì, Maria Lomeli, et al.*2023 · 369 citations*](https://md.research.elamur.ai/free/en/papers/mialon-2023-augmented-language-models-survey/)
10. **[BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset](https://md.research.elamur.ai/free/en/papers/ji-2023-beavertails-towards-improved-safety-alignment/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jiaming Ji, Mickel Liu, Juntao Dai, et al.*2023 · 362 citations*
11. [**The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence arXiv:2002.06177**Gary Marcus*2020 · 332 citations*](https://md.research.elamur.ai/free/en/papers/marcus-2020-next-decade-ai-four/)
12. [**Exploration by Random Network Distillation arXiv:1810.12894**Yuri Burda, Harrison Edwards, Amos Storkey, et al.*2018 · 302 citations*](https://md.research.elamur.ai/free/en/papers/burda-2018-exploration-random-network-distillation/)
13. **[CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/le-2022-coderl-mastering-code-generation-through/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Hung Le, Yue Wang, Akhilesh Deepak Gotmare, et al.*2022 · 297 citations*
14. [**Scaling Relationship on Learning Mathematical Reasoning with Large Language Models arXiv:2308.01825**Zheng Yuan, Hongyi Yuan, Chengpeng Li, et al.*2023 · 261 citations*](https://md.research.elamur.ai/free/en/papers/yuan-2023-scaling-relationship-learning-mathematical-reasoning/)
15. [**Generative Language Modeling for Automated Theorem Proving arXiv:2009.03393**Stanislas Polu, Ilya Sutskever*2020 · 241 citations*](https://md.research.elamur.ai/free/en/papers/polu-2020-generative-language-modeling-automated-theorem/)
16. [**Agent57: Outperforming the Atari Human Benchmark arXiv:2003.13350**Adrià Puigdomènech Badia, Bilal Piot, Steven Kapturowski, et al.*2020 · 235 citations*](https://md.research.elamur.ai/free/en/papers/badia-2020-agent57-outperforming-atari-human-benchmark/)
17. [**Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning arXiv:2108.10470**Viktor Makoviychuk, Lukasz Wawrzyniak, Yunrong Guo, et al.*2021 · 209 citations*](https://md.research.elamur.ai/free/en/papers/makoviychuk-2021-isaac-gym-high-performance-gpu/)
18. [**Autoformalization with Large Language Models arXiv:2205.12615**Yuhuai Wu, Albert Q. Jiang, Wenda Li, et al.*2022 · 204 citations*](https://md.research.elamur.ai/free/en/papers/wu-2022-autoformalization-large-language-models/)
19. [**Will we run out of data? Limits of LLM scaling based on human-generated data arXiv:2211.04325**Pablo Villalobos, Anson Ho, Jaime Sevilla, et al.*2022 · 198 citations*](https://md.research.elamur.ai/free/en/papers/villalobos-2022-will-run-out-data-limits/)
20. [**Automatic Goal Generation for Reinforcement Learning Agents arXiv:1705.06366**Carlos Florensa, David Held, Xinyang Geng, et al.*2017 · 181 citations*](https://md.research.elamur.ai/free/en/papers/florensa-2017-automatic-goal-generation-reinforcement-learning/)
21. [**Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization arXiv:2210.01241**Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al.*2022 · 174 citations*](https://md.research.elamur.ai/free/en/papers/ramamurthy-2022-reinforcement-learning-natural-language-processing/)
22. [**CLIPort: What and Where Pathways for Robotic Manipulation arXiv:2109.12098**Mohit Shridhar, Lucas Manuelli, Dieter Fox*2021 · 159 citations*](https://md.research.elamur.ai/free/en/papers/shridhar-2021-cliport-where-pathways-robotic-manipulation/)
23. [**Neuro-Symbolic Program Synthesis arXiv:1611.01855**Emilio Parisotto, Abdel-rahman Mohamed, Rishabh Singh, et al.*2016 · 152 citations*](https://md.research.elamur.ai/free/en/papers/parisotto-2016-neuro-symbolic-program-synthesis/)
24. [**Understanding the Effects of RLHF on LLM Generalisation and Diversity arXiv:2310.06452**Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, et al.*2023 · 143 citations*](https://md.research.elamur.ai/free/en/papers/kirk-2023-understanding-effects-rlhf-llm-generalisation/)
25. [**Eureka: Human-Level Reward Design via Coding Large Language Models arXiv:2310.12931**Yecheng Jason Ma, William Liang, Guanzhi Wang, et al.*2023 · 142 citations*](https://md.research.elamur.ai/free/en/papers/ma-2023-eureka-human-level-reward-design/)
26. [**Chain of Hindsight Aligns Language Models with Feedback arXiv:2302.02676**Hao Liu, Carmelo Sferrazza, Pieter Abbeel*2023 · 126 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-chain-hindsight-aligns-language-models/)
27. [**Pre-Trained Language Models for Interactive Decision-Making arXiv:2202.01771**Shuang Li, Xavier Puig, Chris Paxton, et al.*2022 · 124 citations*](https://md.research.elamur.ai/free/en/papers/li-2022-pre-trained-language-models-interactive/)
28. [**Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration arXiv:1802.08802**Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, et al.*2018 · 119 citations*](https://md.research.elamur.ai/free/en/papers/liu-2018-reinforcement-learning-web-interfaces-using/)
29. [**Scaling Laws for Transfer arXiv:2102.01293**Danny Hernandez, Jared Kaplan, Tom Henighan, et al.*2021 · 118 citations*](https://md.research.elamur.ai/free/en/papers/hernandez-2021-scaling-laws-transfer/)
30. [**Programming with a Differentiable Forth Interpreter arXiv:1605.06640**Matko Bošnjak, Tim Rocktäschel, Jason Naradowsky, et al.*2016 · 116 citations*](https://md.research.elamur.ai/free/en/papers/bosnjak-2016-programming-differentiable-forth-interpreter/)
31. [**Gymnasium: A Standard Interface for Reinforcement Learning Environments arXiv:2407.17032**Mark Towers, Ariel Kwiatkowski, Jordan Terry, et al.*2024 · 113 citations*](https://md.research.elamur.ai/free/en/papers/towers-2024-gymnasium-standard-interface-reinforcement-learning/)
32. [**Neural Networks and the Chomsky Hierarchy arXiv:2207.02098**Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, et al.*2022 · 112 citations*](https://md.research.elamur.ai/free/en/papers/deletang-2022-neural-networks-chomsky-hierarchy/)
33. [**Foundation Models for Decision Making: Problems, Methods, and Opportunities arXiv:2303.04129**Sherry Yang, Ofir Nachum, Yilun Du, et al.*2023 · 92 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-foundation-models-decision-making-problems/)
34. [**Reinforcement Learning via Self-Distillation arXiv:2601.20802**Jonas Hubotter, Frederike Lubeck, Lejs Behric, et al.*2026 · 74 citations*](https://md.research.elamur.ai/free/en/papers/hubotter-2026-reinforcement-learning-self-distillation/)
35. [**Training Software Engineering Agents and Verifiers with SWE-Gym arXiv:2412.21139**Jiayi Pan; Xingyao Wang; Graham Neubig; Navdeep Jaitly; Heng Ji; Alane Suhr;, Yizhe Zhang*2024 · 73 citations*](https://md.research.elamur.ai/free/en/papers/pan-2024-training-software-engineering-agents/)
36. [**Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis arXiv:1805.04276**Rudy Bunel, Matthew Hausknecht, Jacob Devlin, et al.*2018 · 66 citations*](https://md.research.elamur.ai/free/en/papers/bunel-2018-leveraging-grammar-reinforcement-learning-neural/)
37. [**Program Synthesis Foundations and Trends in Programming Languages 4(1-2)**Sumit Gulwani, Oleksandr Polozov, Rishabh Singh*2017 · 63 citations*](https://md.research.elamur.ai/free/en/papers/gulwani-2017-program-synthesis/)
38. [**Learning Interactive Real-World Simulators arXiv:2310.06114**Sherry Yang, Yilun Du, Kamyar Ghasemipour, et al.*2023 · 54 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-learning-interactive-real-world-simulators/)
39. [**Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents arXiv:2505.22954**Jenny Zhang, Shengran Hu, Cong Lu, et al.*2025 · 47 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-darwin-godel-machine-open/)
40. [**A Survey on Deep Learning for Theorem Proving arXiv:2404.09939**Zhaoyu Li, Jialiang Sun, Logan Murphy, et al.*2024 · 46 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-survey-deep-learning-theorem-proving/)
41. [**STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving arXiv:2502.00212**Kefan Dong, Tengyu Ma*2025 · 43 citations*](https://md.research.elamur.ai/free/en/papers/dong-2025-stp-self-play-llm-theorem/)
42. [**Language Conditioned Imitation Learning over Unstructured Data arXiv:2005.07648**Corey Lynch, Pierre Sermanet*2020 · 43 citations*](https://md.research.elamur.ai/free/en/papers/lynch-2020-language-conditioned-imitation-learning-over/)
43. **[Code Execution with Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/liu-2023-code-execution-pre-trained-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenxiao Liu, Shuai Lu, Weizhu Chen, et al.*2023 · 38 citations*
44. [**Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning arXiv:2402.05808**Zhiheng Xi, Wenxiang Chen, Boyang Hong, et al.*2024 · 36 citations*](https://md.research.elamur.ai/free/en/papers/xi-2024-training-large-language-models-reasoning/)
45. [**Human-Timescale Adaptation in an Open-Ended Task Space arXiv:2301.07608**Adaptive Agent Team, Jakob Bauer, Kate Baumli, et al.*2023 · 36 citations*](https://md.research.elamur.ai/free/en/papers/team-2023-human-timescale-adaptation-open-ended/)
46. [**CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization arXiv:2310.10134**Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Peter Jansen, et al.*2023 · 34 citations*](https://md.research.elamur.ai/free/en/papers/majumder-2023-clin-continually-learning-language-agent/)
47. **[Aristotle: IMO-level Automated Theorem Proving](https://md.research.elamur.ai/free/en/papers/achim-2025-aristotle-imo-level-automated-theorem/) [SuperIntelligence - Robotics - Safety & Alignment](https://md.research.elamur.ai/free/en/venues/superintelligence-robotics-safety-alignment/)**Tudor Achim, Alex Best, Alberto Bietti, et al.*2025 · 29 citations*
48. [**Length Generalization in Arithmetic Transformers arXiv:2306.15400**Samy Jelassi, Stéphane d'Ascoli, Carles Domingo-Enrich, et al.*2023 · 29 citations*](https://md.research.elamur.ai/free/en/papers/jelassi-2023-length-generalization-arithmetic-transformers/)
49. [**Agent Learning via Early Experience arXiv:2510.08558**Kai Zhang, Xiangchao Chen, Bo Liu, et al.*2025 · 24 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-agent-learning-early-experience/)
50. **[Learning Formal Mathematics From Intrinsic Motivation](https://md.research.elamur.ai/free/en/papers/poesia-2024-learning-formal-mathematics-intrinsic-motivation/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Gabriel Poesia, David Broman, Nick Haber, et al.*2024 · 23 citations*
51. [**Can Large Reasoning Models Self-Train? arXiv:2505.21444**Sheikh Shafayat, Fahim Tajwar, Ruslan Salakhutdinov, et al.*2025 · 16 citations*](https://md.research.elamur.ai/free/en/papers/shafayat-2025-large-reasoning-models-self-train/)
52. [**OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code arXiv:2405.15568**Maxence Faldor, Jenny Zhang, Antoine Cully, et al.*2024 · 15 citations*](https://md.research.elamur.ai/free/en/papers/faldor-2024-omni-epic-open-endedness-models/)
53. [**Augmenting Autotelic Agents with Large Language Models arXiv:2305.12487**Cedric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, et al.*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/colas-2023-augmenting-autotelic-agents-large-language/)
54. [**Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering arXiv:2411.11504**Xinyan Guan, Yanjiang Liu, Xinyu Lu, et al.*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/guan-2024-search-verify-feedback-towards-next/)
55. [**Distilling Internet-Scale Vision-Language Models into Embodied Agents arXiv:2301.12507**Theodore Sumers, Kenneth Marino, Arun Ahuja, et al.*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/sumers-2023-distilling-internet-scale-vision-language/)
56. **[CriticSearch: Fine-Grained Credit Assignment for Search Agents via a Retrospective Critic](https://md.research.elamur.ai/free/en/papers/zhang-2026-criticsearch-fine-grained-credit-assignment/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yaocheng Zhang, Haohuan Huang, Zijun Song, et al.*2026 · 6 citations*
57. **[CRPS: Curriculum Replay via Progressive Suffixes from Successful Trajectories for Long-Horizon LLM Agents](https://md.research.elamur.ai/free/en/papers/zhang-2026-crps-curriculum-replay-progressive-suffixes/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zijing Zhang, Xiajie Yang*2026*
58. **[From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned Learning](https://md.research.elamur.ai/free/en/papers/zhan-2026-answers-arguments-trustworthy-clinical-diagnostic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chen Zhan, Xiaoyu Tan, Gengchen Ma, et al.*2026*
59. **[Model-Based Imaginative Planning for Embodied Agents](https://md.research.elamur.ai/free/en/papers/song-2026-model-based-imaginative-planning-embodied/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junru Song, Hengzhe Jin, Yucong Huang, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/authors/marcin-andrychowicz/) — Marcin Andrychowicz