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Autonomous systems for software engineering are now capable of fixing bugs and developing features.
Sketch2code: Generating a website from a paper mockup, 2019
Alex Robinson · 1905
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Fundamentals of interactive computer graphics
James D Foley and Andries Van Dam · 1982
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Designing the User Interface: Strategies for Effective Human-Computer Interaction
Ben Shneiderman · 1998
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Let’s go to the whiteboard: how and why software developers use drawings
Mauro Cherubini, Gina Venolia, Rob DeLine, and Amy J Ko · 2007
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The “physics” of notations: toward a scientific basis for constructing visual notations in software engineering
Daniel Moody · 2009
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The probabilistic relevance framework: Bm25 and beyond
Stephen E. Robertson and Hugo Zaragoza · 2009
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A look at the dynamics of the javascript package ecosystem
Erik Wittern, Philippe Suter, and Shriram Rajagopalan · 2016
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pix2code: Generating code from a graphical user interface screenshot
Tony Beltramelli · 2018
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Measuring perceived color difference using yiq ntsc transmission color space in mobile applications
Yuriy Kotsarenko · 2018
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Billion-scale similarity search with GPUs
Jeff Johnson, Matthijs Douze, and Hervé Jégou · 2019
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Program synthesis with large language models, 2021
Jacob Austin, Augustus Odena, Maxwell Nye, Maarten Bosma, Henryk Michalewski, David Dohan, Ellen Jiang, Carrie Cai, Michael Terry, Quoc Le, and Charles Sutton · 2021
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Evaluating large language models trained on code, 2021
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Josh Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, and Wojciech Zaremba · 2021
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Measuring coding challenge competence with apps, 2021
Dan Hendrycks, Steven Basart, Saurav Kadavath, Mantas Mazeika, Akul Arora, Ethan Guo, Collin Burns, Samir Puranik, Horace He, Dawn Song, and Jacob Steinhardt · 2021
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Multipl-e: A scalable and extensible approach to benchmarking neural code generation, 2022
Federico Cassano, John Gouwar, Daniel Nguyen, Sydney Nguyen, Luna Phipps-Costin, Donald Pinckney, Ming-Ho Yee, Yangtian Zi, Carolyn Jane Anderson, Molly Q Feldman, Arjun Guha, Michael Greenberg, and Abhinav Jangda · 2022
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Ds-1000: A natural and reliable benchmark for data science code generation, 2022
Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Scott Wen tau Yih, Daniel Fried, Sida Wang, and Tao Yu · 2022
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Natural language to code generation in interactive data science notebooks, 2022
Pengcheng Yin, Wen-Ding Li, Kefan Xiao, Abhishek Rao, Yeming Wen, Kensen Shi, Joshua Howland, Paige Bailey, Michele Catasta, Henryk Michalewski, Alex Polozov, and Charles Sutton · 2022
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Octoverse: The state of open source and rise of ai in 2023, 2023
Kyle Daigle and GitHub · 2023
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Cogagent: A visual language model for gui agents, 2023
Wenyi Hong, Weihan Wang, Qingsong Lv, Jiazheng Xu, Wenmeng Yu, Junhui Ji, Yan Wang, Zihan Wang, Yuxuan Zhang, Juanzi Li, Bin Xu, Yuxiao Dong, Ming Ding, and Jie Tang · 2023
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Learning ui-to-code reverse generator using visual critic without rendering, 2023
Davit Soselia, Khalid Saifullah, and Tianyi Zhou · 2023
Cited alongside, same era.
Gpt-4v in wonderland: Large multimodal models for zero-shot smartphone gui navigation, 2023
An Yan, Zhengyuan Yang, Wanrong Zhu, Kevin Lin, Linjie Li, Jianfeng Wang, Jianwei Yang, Yiwu Zhong, Julian McAuley, Jianfeng Gao, Zicheng Liu, and Lijuan Wang · 2023
Cited alongside, same era.
Enigma: Enhanced interactive generative model agent for ctf challenges, 2024
Talor Abramovich, Meet Udeshi, Minghao Shao, Kilian Lieret, Haoran Xi, Kimberly Milner, Sofija Jancheska, John Yang, Carlos E. Jimenez, Farshad Khorrami, Prashanth Krishnamurthy, Brendan Dolan-Gavitt, Muhammad Shafique, Karthik Narasimhan, Ramesh Karri, and Ofir Press · 2024
Cited alongside, same era.
Introducing claude 3.5 sonnet, 2024
Anthropic · 2024
Cited alongside, same era.
Moatless tools, 2024
Albert Örwall · 2024
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Citeme: Can language models accurately cite scientific claims?, 2024
Ori Press, Andreas Hochlehnert, Ameya Prabhu, Vishaal Udandarao, Ofir Press, and Matthias Bethge · 2024
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Agent q: Advanced reasoning and learning for autonomous ai agents, 2024
Pranav Putta, Edmund Mills, Naman Garg, Sumeet Motwani, Chelsea Finn, Divyansh Garg, and Rafael Rafailov · 2024
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Androidworld: A dynamic benchmarking environment for autonomous agents, 2024
Christopher Rawles, Sarah Clinckemaillie, Yifan Chang, Jonathan Waltz, Gabrielle Lau, Marybeth Fair, Alice Li, William Bishop, Wei Li, Folawiyo Campbell-Ajala, Daniel Toyama, Robert Berry, Divya Tyamagundlu, Timothy Lillicrap, and Oriana Riva · 2024
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Kaustubh Bagalkote · 2024
Cited alongside, same era.
Large language monkeys: Scaling inference compute with repeated sampling, 2024
Bradley Brown, Jordan Juravsky, Ryan Ehrlich, Ronald Clark, Quoc V. Le, Christopher Ré, and Azalia Mirhoseini · 2024
Cited alongside, same era.
Spider2-v: How far are multimodal agents from automating data science and engineering workflows?
Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Yuchen Mao, Wenjing Hu, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, and Tao Yu · 2024
Cited alongside, same era.
Introducing swe-bench verified, 2024
Neil Chowdhury, James Aung, Chan Jun Shern, Oliver Jaffe, Dane Sherburn, Giulio Starace, Evan Mays, Rachel Dias, Marwan Aljubeh, Mia Glaese, Carlos E. Jimenez, John Yang, Kevin Liu, and Aleksander Madry · 2024
Cited alongside, same era.
Aider, 2024
Paul Gauthier · 2024
Cited alongside, same era.
Cruxeval: A benchmark for code reasoning, understanding and execution, 2024
Alex Gu, Baptiste Rozière, Hugh Leather, Armando Solar-Lezama, Gabriel Synnaeve, and Sida I. Wang · 2024
Cited alongside, same era.
Effibench: Benchmarking the efficiency of automatically generated code, 2024
Dong Huang, Yuhao Qing, Weiyi Shang, Heming Cui, and Jie M. Zhang · 2024
Cited alongside, same era.
Livecodebench: Holistic and contamination free evaluation of large language models for code, 2024
Naman Jain, King Han, Alex Gu, Wen-Ding Li, Fanjia Yan, Tianjun Zhang, Sida Wang, Armando Solar-Lezama, Koushik Sen, and Ion Stoica · 2024
Cited alongside, same era.
Minghao Shao, Sofija Jancheska, Meet Udeshi, Brendan Dolan-Gavitt, Haoran Xi, Kimberly Milner, Boyuan Chen, Max Yin, Siddharth Garg, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, and Muhammad Shafique · 2024
Closest in time.
Design2code: How far are we from automating front-end engineering?, 2024
Chenglei Si, Yanzhe Zhang, Zhengyuan Yang, Ruibo Liu, and Diyi Yang · 2024
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Cognitive architectures for language agents, 2024
Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan, and Thomas L. Griffiths · 2024
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Siddhant Waghjale, Vishruth Veerendranath, Zora Zhiruo Wang, and Daniel Fried · 2024
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Chengyue Wu, Yixiao Ge, Qiushan Guo, Jiahao Wang, Zhixuan Liang, Zeyu Lu, Ying Shan, and Ping Luo · 2024
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Agentless: Demystifying llm-based software engineering agents, 2024
Chunqiu Steven Xia, Yinlin Deng, Soren Dunn, and Lingming Zhang · 2024
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Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments, 2024
Tianbao Xie, Danyang Zhang, Jixuan Chen, Xiaochuan Li, Siheng Zhao, Ruisheng Cao, Toh Jing Hua, Zhoujun Cheng, Dongchan Shin, Fangyu Lei, Yitao Liu, Yiheng Xu, Shuyan Zhou, Silvio Savarese, Caiming Xiong, Victor Zhong, and Tao Yu · 2024
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Swe-agent: Agent-computer interfaces enable automated software engineering, 2024
John Yang, Carlos E. Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, and Ofir Press · 2024
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Developers get by with a little help from ai: Stack overflow knows code assistant pulse survey results, 2024
Erin Yepis and StackOverflow · 2024
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Assistantbench: Can web agents solve realistic and time-consuming tasks?, 2024
Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, and Jonathan Berant · 2024
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Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Zihan Wang, Lei Shen, Andi Wang, Yang Li, Teng Su, Zhilin Yang, and Jie Tang · 2024
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Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, Thong Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, David Lo, Binyuan Hui, Niklas Muennighoff, Daniel Fried, Xiaoning Du, Harm de Vries, and Leandro Von Werra · 2024
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A survey on large language model based autonomous agents
Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, and Jirong Wen · 2095
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