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Levenshtein Distance Technique in Dictionary Lookup Methods: An Improved Approach
Rishin Haldar and Debajyoti Mukhopadhyay. 2011 · 2011
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Designing User Experience for Mobile Apps: Long-Term Product Owner Perspective
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Evaluating Direct Manipulation Operations for Constraint-Based Layout. In IFIP TC13 International Conference on Human-Computer Interaction
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Classifying and Qualifying GUI Defects
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Reverse engineering mobile application user interfaces with remaui (t). In 2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE) . 248–259
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You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon, Santosh Kumar Divvala, Ross B. Girshick, and Ali Farhadi. 2015 · 2015
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pix2code: Generating code from a graphical user interface screenshot. In Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems . 1–6
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From UI design image to GUI skeleton: a neural machine translator to bootstrap mobile GUI implementation. In Proceedings of the 40th International Conference on Software Engineering . 665–676
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Software engineering process models for mobile app development: A systematic literature review
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Machine learning-based prototyping of graphical user interfaces for mobile apps
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Automated Reporting of GUI Design Violations for Mobile Apps
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P2A: A tool for converting pixels to animated mobile application user interfaces. In Proceedings of the 5th International Conference on Mobile Software Engineering and Systems . 224–235
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Automatic HTML Code Generation from Mock-Up Images Using Machine Learning Techniques
Batuhan Asiroglu, Büşta Rümeysa Mete, Eyyüp Yildiz, Yagiz Nalçakan, Alper Sezen, Mustafa Dağtekin, and Tolga Ensari. 2019 · 2019
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Tranco: A Research-Oriented Top Sites Ranking Hardened Against Manipulation
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Deep learning-based prototyping of android GUI from hand-drawn mockups
A. A. Abdelhamid, S. R. Alotaibi, and A. Mousa. 2020 · 2020
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Evaluating Large Language Models Trained on Code
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Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks
Antonio Mastropaolo, Simone Scalabrino, Nathan Cooper, David Nader-Palacio, Denys Poshyvanyk, Rocco Oliveto, and Gabriele Bavota. 2021 · 2021
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Image segmentation using deep learning: A survey
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Learning Transferable Visual Models From Natural Language Supervision. In International Conference on Machine Learning
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever. 2021 · 2021
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Multimodal few-shot learning with frozen language models
Maria Tsimpoukelli, Jacob L Menick, Serkan Cabi, SM Eslami, Oriol Vinyals, and Felix Hill. 2021 · 2021
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Screen parsing: Towards reverse engineering of UI models from screenshots. In The 34th Annual ACM Symposium on User Interface Software and Technology . 470–483
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image2emmet: Automatic code generation from web user interface image
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Flamingo: a visual language model for few-shot learning
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, et al · 2022
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On the Transferability of Pre-trained Language Models for Low-Resource Programming Languages
Fuxiang Chen, Fateme Moradian Fard, David Lo, and Timofey Bryksin. 2022a · 2022
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Code generation from a graphical user interface via attention-based encoder–decoder model
W.-Y. Chen, P. Podstreleny, W.-H. Cheng, Y.-Y. Chen, and K.-L. Hua. 2022c · 2022
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Aligning Offline Metrics and Human Judgments of Value of AI-Pair Programmers
Victor C. Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi-Sangdeh, Han Liu, and Saleema Amershi. 2022 · 2022
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Assemble Foundation Models for Automatic Code Summarization
Jian Gu, Pasquale Salza, and Harald C. Gall. 2022 · 2022
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CCTEST: Testing and Repairing Code Completion Systems
Zongjie Li, Chaozheng Wang, Zhibo Liu, Hao Wang, Shuai Wang, and Cuiyun Gao. 2022 · 2022
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The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)
Zhengyuan Yang, Linjie Li, Kevin Lin, Jianfeng Wang, Chung-Ching Lin, Zicheng Liu, and Lijuan Wang. 2023 · 2023
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A Survey on Multimodal Large Language Models
Shukang Yin, Chaoyou Fu, Sirui Zhao, Ke Li, Xing Sun, Tong Xu, and Enhong Chen. 2023 · 2023
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CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models. In International Conference on Software Engineering
Hao Yu, Bo Shen, Dezhi Ran, Jiaxin Zhang, Qi Zhang, Yu Ma, Guangtai Liang, Ying Li, Tao Xie, and Qianxiang Wang. 2023 · 2023
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LIMA: Less Is More for Alignment
Chunting Zhou, Pengfei Liu, Puxin Xu, Srini Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, L. Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, and Omer Levy. 2023 · 2023
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Using Deep Learning to Generate Complete Log Statements
Antonio Mastropaolo, Luca Pascarella, and Gabriele Bavota. 2022 · 2022
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CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis. In International Conference on Learning Representations
Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Haiquan Wang, Yingbo Zhou, Silvio Savarese, and Caiming Xiong. 2022 · 2022
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Chain of Thought Prompting Elicits Reasoning in Large Language Models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed Huai hsin Chi, F. Xia, Quoc Le, and Denny Zhou. 2022a · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
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Exploring Distributional Shifts in Large Language Models for Code Analysis. In Conference on Empirical Methods in Natural Language Processing
Shushan Arakelyan, Rocktim Jyoti Das, Yi Mao, and Xiang Ren. 2023 · 2023
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Teaching Large Language Models to Self-Debug
Xinyun Chen, Maxwell Lin, Nathanael Schärli, and Denny Zhou. 2023 · 2023
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Web pages from mockup design based on convolutional neural network and class activation mapping
A. A. J. Cizotto, R. C. T. de Souza, V. C. Mariani, and L. dos Santos Coelho. 2023 · 2023
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