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Large language models (LLMs) struggle to consistently generate UI code that compiles and produces visually relevant designs.
The proposed uscf rating system, its development, theory, and applications. chess life xxii (8): 242–247
AE Elo. 1967 · 1967
Earlier work this paper cites.
Survey on user interface programming
Brad A Myers and Mary Beth Rosson. 1992 · 1992
Earlier work this paper cites.
A density-based algorithm for discovering clusters in large spatial databases with noise
Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu, et al. 1996 · 1996
Earlier work this paper cites.
Auto completion of user interface layout design using transformer-based tree decoders
Yang Li, Julien Amelot, Xin Zhou, Samy Bengio, and Si Si. 2020b · 2001
Earlier work this paper cites.
Sketchplore: Sketch and explore with a layout optimiser
Kashyap Todi, Daryl Weir, and Antti Oulasvirta. 2016 · 2016
Earlier work this paper cites.
Rico: A mobile app dataset for building data-driven design applications
Biplab Deka, Zifeng Huang, Chad Franzen, Joshua Hibschman, Daniel Afergan, Yang Li, Jeffrey Nichols, and Ranjitha Kumar. 2017 · 2017
Earlier work this paper cites.
Layoutgan: Generating graphic layouts with wireframe discriminators
Jianan Li, Jimei Yang, Aaron Hertzmann, Jianming Zhang, and Tingfa Xu. 2018 · 2018
Earlier work this paper cites.
Scout: Rapid exploration of interface layout alternatives through high-level design constraints
Amanda Swearngin, Chenglong Wang, Alannah Oleson, James Fogarty, and Amy J Ko. 2020 · 2020
Earlier work this paper cites.
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Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al. 2021 · 2021
Earlier work this paper cites.
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Gabriel Goh, Nick Cammarata, Chelsea Voss, Shan Carter, Michael Petrov, Ludwig Schubert, Alec Radford, and Chris Olah. 2021 · 2021
Earlier work this paper cites.
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Earlier work this paper cites.
Openclip
Gabriel Ilharco, Mitchell Wortsman, Ross Wightman, Cade Gordon, Nicholas Carlini, Rohan Taori, Achal Dave, Vaishaal Shankar, Hongseok Namkoong, John Miller, Hannaneh Hajishirzi, Ali Farhadi, and Ludwig Schmidt. 2021 · 2021
Earlier work this paper cites.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al. 2021 · 2021
Earlier work this paper cites.
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Cited alongside, same era.
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Xiaoyi Zhang, Lilian de Greef, Amanda Swearngin, Samuel White, Kyle Murray, Lisa Yu, Qi Shan, Jeffrey Nichols, Jason Wu, Chris Fleizach, et al. 2021 · 2021
Cited alongside, same era.
Constitutional ai: Harmlessness from ai feedback
Yuntao Bai, Saurav Kadavath, Sandipan Kundu, Amanda Askell, Jackson Kernion, Andy Jones, Anna Chen, Anna Goldie, Azalia Mirhoseini, Cameron McKinnon, et al. 2022 · 2022
Cited alongside, same era.
On the transferability of pre-trained language models for low-resource programming languages
Fuxiang Chen, Fatemeh H Fard, David Lo, and Timofey Bryksin. 2022 · 2022
Cited alongside, same era.
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Caglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, Ksenia Konyushkova, Lotte Weerts, Abhishek Sharma, Aditya Siddhant, Alex Ahern, Miaosen Wang, Chenjie Gu, et al. 2023 · 2023
Later among the works it cites.
Suriya Gunasekar, Yi Zhang, Jyoti Aneja, Caio César Teodoro Mendes, Allie Del Giorno, Sivakanth Gopi, Mojan Javaheripi, Piero Kauffmann, Gustavo de Rosa, Olli Saarikivi, et al. 2023 · 2023
Later among the works it cites.
Openassistant conversations - democratizing large language model alignment
Andreas Köpf, Yannic Kilcher, Dimitri von Rütte, Sotiris Anagnostidis, Zhi Rui Tam, Keith Stevens, Abdullah Barhoum, Duc Minh Nguyen, Oliver Stanley, Richárd Nagyfi, Shahul ES, Sameer Suri, David Alexandrovich Glushkov, Arnav Varma Dantuluri, Andrew Maguire, Christoph Schuhmann, Huu Nguyen, and Alexander Julian Mattick. 2023 · 2023
Later among the works it cites.
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Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, and Daxin Jiang. 2023 · 2023
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
Openai has hired an army of contractors to make basic coding obsolete
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
Later among the works it cites.
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Later among the works it cites.
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Later among the works it cites.
Code llama: Open foundation models for code
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Later among the works it cites.
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Later among the works it cites.
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Later among the works it cites.
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Later among the works it cites.
Webui: A dataset for enhancing visual ui understanding with web semantics
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Later among the works it cites.
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Later among the works it cites.