{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,25]],"date-time":"2026-08-25T22:02:36Z","timestamp":1787695356660,"version":"build-2784847793"},"publisher-location":"New York, NY, USA","reference-count":51,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,4,22]],"date-time":"2025-04-22T00:00:00Z","timestamp":1745280000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFB4501400"],"award-info":[{"award-number":["2022YFB4501400"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62372199"],"award-info":[{"award-number":["62372199"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,4,22]]},"DOI":"10.1145\/3696410.3714891","type":"proceedings-article","created":{"date-parts":[[2025,4,22]],"date-time":"2025-04-22T18:57:28Z","timestamp":1745348248000},"page":"1846-1855","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["UIC\n                    <scp>opilot<\/scp>\n                    : Automating UI Synthesis via Hierarchical Code Generation from Webpage Designs"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-2841-7942","authenticated-orcid":false,"given":"Yi","family":"Gui","sequence":"first","affiliation":[{"name":"National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6937-4180","authenticated-orcid":false,"given":"Yao","family":"Wan","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0873-6126","authenticated-orcid":false,"given":"Zhen","family":"Li","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-9951-3335","authenticated-orcid":false,"given":"Zhongyi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-9848-2557","authenticated-orcid":false,"given":"Dongping","family":"Chen","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3063-9425","authenticated-orcid":false,"given":"Hongyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Chongqing University, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-9336-3562","authenticated-orcid":false,"given":"Yi","family":"Su","sequence":"additional","affiliation":[{"name":"Hubei University of Automotive Technology, Shiyan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-8927-8902","authenticated-orcid":false,"given":"Bohua","family":"Chen","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-4165-7756","authenticated-orcid":false,"given":"Xing","family":"Zhou","sequence":"additional","affiliation":[{"name":"Rabbitpre AI, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5628-8806","authenticated-orcid":false,"given":"Wenbin","family":"Jiang","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3574-5665","authenticated-orcid":false,"given":"Xiangliang","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Notre Dame, Notre Dame, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,4,22]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Amazon AWS. 2022. AI Code Generator - Amazon CodeWhisperer - AWS. https:\/\/aws.amazon.com\/codewhisperer\/."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3220134.3220135"},{"key":"e_1_3_2_1_3_1","volume-title":"ACL 2024, Bangkok, Thailand and virtual meeting, August 11--16","author":"Bi Zhangqian","year":"2024","unstructured":"Zhangqian Bi, Yao Wan, Zheng Wang, Hongyu Zhang, Batu Guan, Fangxin Lu, Zili Zhang, Yulei Sui, Hai Jin, and Xuanhua Shi. 2024. Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback. In Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11--16, 2024. Association for Computational Linguistics, 2336--2353."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02161"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/978--3-030--58452--813nolinkurl10.1007"},{"key":"e_1_3_2_1_6_1","volume-title":"GUI-WORLD: A GUI-oriented Video Dataset for Multimodal LLM-based Agents. In Workshop on Video-Language Models@ NeurIPS","author":"Chen Dongping","year":"2024","unstructured":"Dongping Chen, Yue Huang, Siyuan Wu, Jingyu Tang, Huichi Zhou, Qihui Zhang, Zhigang He, Yilin Bai, Chujie Gao, Liuyi Chen, et al. [n.,d.]. GUI-WORLD: A GUI-oriented Video Dataset for Multimodal LLM-based Agents. In Workshop on Video-Language Models@ NeurIPS 2024."},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13--18","volume":"1607","author":"Chen Ting","year":"2020","unstructured":"Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey E. Hinton. 2020. A Simple Framework for Contrastive Learning of Visual Representations. In Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13--18 July 2020, Virtual Event (Proceedings of Machine Learning Research, Vol. 119). PMLR, 1597--1607."},{"key":"e_1_3_2_1_8_1","volume-title":"Proceedings of 9th International Conference on Learning Representations, ICLR 2021","author":"Dosovitskiy Alexey","year":"2021","unstructured":"Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby. 2021. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. In Proceedings of 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3--7, 2021. OpenReview.net."},{"key":"e_1_3_2_1_9_1","volume-title":"Proceedings of Forty-first International Conference on Machine Learning, ICML 2024","author":"Evans Zach","year":"2024","unstructured":"Zach Evans, CJ Carr, Josiah Taylor, Scott H. Hawley, and Jordi Pons. 2024. Fast Timing-Conditioned Latent Audio Diffusion. In Proceedings of Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21--27, 2024. OpenReview.net."},{"key":"e_1_3_2_1_10_1","volume-title":"Proceedings of The Eleventh International Conference on Learning Representations, ICLR 2023","author":"Fried Daniel","year":"2023","unstructured":"Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Scott Yih, Luke Zettlemoyer, and Mike Lewis. 2023. InCoder: A Generative Model for Code Infilling and Synthesis. In Proceedings of The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1--5, 2023. OpenReview.net."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i11.29097"},{"key":"e_1_3_2_1_12_1","unstructured":"GitHub. 2022. GitHub Copilot - Your AI pair programmer. https:\/\/github.com\/features\/copilot\/."},{"key":"e_1_3_2_1_13_1","volume-title":"International World Wide Web Conference, WWW 2024","author":"Gui Yi","year":"2024","unstructured":"Yi Gui, Zhen Li, Yao Wan, Yemin Shi, Hongyu Zhang, Yi Su, Bohua Chen, Dongping Chen, Siyuan Wu, Xing Zhou, et al. 2024. WebCode2M: A Real-World Dataset for Code Generation from Webpage Designs. In International World Wide Web Conference, WWW 2024, Singapore, May 13--17, 2024."},{"key":"e_1_3_2_1_14_1","unstructured":"Daya Guo Qihao Zhu Dejian Yang Zhenda Xie Kai Dong Wentao Zhang Guanting Chen Xiao Bi Yu Wu YK Li et al. 2024b. DeepSeek-Coder: When the Large Language Model Meets Programming--The Rise of Code Intelligence. arXiv preprint arXiv:2401.14196 (2024)."},{"key":"e_1_3_2_1_15_1","volume-title":"IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web. CoRR","author":"Guo Hongcheng","year":"1898","unstructured":"Hongcheng Guo, Wei Zhang, Junhao Chen, Yaonan Gu, Jian Yang, Junjia Du, Binyuan Hui, Tianyu Liu, Jianxin Ma, Chang Zhou, and Zhoujun Li. 2024a. IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web. CoRR, Vol. abs\/2409.18980 (2024)."},{"key":"e_1_3_2_1_16_1","volume-title":"Denoising Diffusion Probabilistic Models. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020","author":"Ho Jonathan","year":"2020","unstructured":"Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020. Denoising Diffusion Probabilistic Models. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6--12, 2020, virtual."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01354"},{"key":"e_1_3_2_1_18_1","volume-title":"Proceedings of The Tenth International Conference on Learning Representations, ICLR 2022","author":"Hu Edward J.","year":"2022","unstructured":"Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2022. LoRA: Low-Rank Adaptation of Large Language Models. In Proceedings of The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25--29, 2022. OpenReview.net."},{"key":"e_1_3_2_1_19_1","unstructured":"Binyuan Hui Jian Yang Zeyu Cui Jiaxi Yang Dayiheng Liu Lei Zhang Tianyu Liu Jiajun Zhang Bowen Yu Keming Lu et al. 2024. Qwen2. 5-coder technical report. arXiv preprint arXiv:2409.12186 (2024)."},{"key":"e_1_3_2_1_20_1","volume-title":"Proceedings of 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14--16, 2014, Conference Track Proceedings.","author":"Diederik","unstructured":"Diederik P. Kingma and Max Welling. 2014. Auto-Encoding Variational Bayes. In Proceedings of 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14--16, 2014, Conference Track Proceedings."},{"key":"e_1_3_2_1_21_1","volume-title":"Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset. CoRR","author":"Lauren\u00e7on Hugo","year":"2024","unstructured":"Hugo Lauren\u00e7on, L\u00e9o Tronchon, and Victor Sanh. 2024. Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset. CoRR, Vol. abs\/2403.09029 (2024). showeprint[arXiv]2403.09029"},{"key":"e_1_3_2_1_22_1","volume-title":"Proceedings of International Conference on Machine Learning, ICML 2023","volume":"18912","author":"Lee Kenton","year":"2023","unstructured":"Kenton Lee, Mandar Joshi, Iulia Raluca Turc, Hexiang Hu, Fangyu Liu, Julian Martin Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, and Kristina Toutanova. 2023. Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. In Proceedings of International Conference on Machine Learning, ICML 2023, 23--29 July 2023, Honolulu, Hawaii, USA (Proceedings of Machine Learning Research, Vol. 202). PMLR, 18893--18912."},{"key":"e_1_3_2_1_23_1","article-title":"StarCoder: may the source be with you!","volume":"2023","author":"Li Raymond","year":"2023","unstructured":"Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, Jo ao Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason T. Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Mu noz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, and Harm de Vries. 2023. StarCoder: may the source be with you! Trans. Mach. Learn. Res., Vol. 2023 (2023).","journal-title":"Trans. Mach. Learn. Res."},{"key":"e_1_3_2_1_24_1","unstructured":"Haotian Liu Chunyuan Li Qingyang Wu and Yong Jae Lee. 2023."},{"key":"e_1_3_2_1_25_1","volume-title":"Proceedings of Forty-first International Conference on Machine Learning, ICML 2024","author":"Liu Shih-Yang","year":"2024","unstructured":"Shih-Yang Liu, Chien-Yi Wang, Hongxu Yin, Pavlo Molchanov, Yu-Chiang Frank Wang, Kwang-Ting Cheng, and Min-Hung Chen. 2024. DoRA: Weight-Decomposed Low-Rank Adaptation. In Proceedings of Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21--27, 2024. OpenReview.net."},{"key":"e_1_3_2_1_26_1","volume-title":"Proceedings of The Twelfth International Conference on Learning Representations, ICLR 2024","author":"Luo Ziyang","year":"2024","unstructured":"Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, and Daxin Jiang. 2024. WizardCoder: Empowering Code Large Language Models with Evol-Instruct. In Proceedings of The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7--11, 2024. OpenReview.net."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2018.2844788"},{"key":"e_1_3_2_1_29_1","volume-title":"Proceedings of The Twelfth International Conference on Learning Representations, ICLR 2024","author":"Podell Dustin","year":"2024","unstructured":"Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas M\u00fcller, Joe Penna, and Robin Rombach. 2024. SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis. In Proceedings of The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7--11, 2024. OpenReview.net."},{"key":"e_1_3_2_1_30_1","volume-title":"Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18--24","volume":"8763","author":"Radford Alec","year":"2021","unstructured":"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. Learning Transferable Visual Models From Natural Language Supervision. In Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18--24 July 2021, Virtual Event (Proceedings of Machine Learning Research, Vol. 139). PMLR, 8748--8763."},{"key":"e_1_3_2_1_31_1","unstructured":"Shaoqing Ren Kaiming He Ross B. Girshick and Jian Sun. 2015. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. (2015) 91--99."},{"key":"e_1_3_2_1_32_1","volume-title":"Meet Replit AI, your partner in code. https:\/\/replit.com\/ai\/.","year":"2023","unstructured":"Replit. 2023. Meet Replit AI, your partner in code. https:\/\/replit.com\/ai\/."},{"key":"e_1_3_2_1_33_1","volume-title":"Sketch2code: Generating a website from a paper mockup. CoRR","author":"Robinson Alex","year":"2019","unstructured":"Alex Robinson. 2019. Sketch2code: Generating a website from a paper mockup. CoRR, Vol. abs\/1905.13750 (2019). showeprint[arXiv]1905.13750"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"e_1_3_2_1_35_1","volume-title":"Yossi Adi, Jingyu Liu, Tal Remez, J\u00e9r\u00e9my Rapin, et al.","author":"Roziere Baptiste","year":"2023","unstructured":"Baptiste Roziere, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Tal Remez, J\u00e9r\u00e9my Rapin, et al. 2023. Code llama: Open foundation models for code. arXiv preprint arXiv:2308.12950 (2023)."},{"key":"e_1_3_2_1_36_1","volume-title":"Design2Code: How Far Are We From Automating Front-End Engineering? CoRR","author":"Si Chenglei","unstructured":"Chenglei Si, Yanzhe Zhang, Zhengyuan Yang, Ruibo Liu, and Diyi Yang. 2024. Design2Code: How Far Are We From Automating Front-End Engineering? CoRR, Vol. abs\/2403.03163."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3691620.3695000"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01389"},{"key":"e_1_3_2_1_39_1","volume-title":"Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023","author":"Tang Luming","year":"2023","unstructured":"Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, and Bharath Hariharan. 2023. Emergent Correspondence from Image Diffusion. In Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023."},{"key":"e_1_3_2_1_40_1","volume-title":"Neural Discrete Representation Learning. In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017","author":"van den Oord A\u00e4ron","year":"2017","unstructured":"A\u00e4ron van den Oord, Oriol Vinyals, and Koray Kavukcuoglu. 2017. Neural Discrete Representation Learning. In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4--9, 2017, Long Beach, CA, USA. 6306--6315."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3664597nolinkurl10.1145"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASE.2019.00012"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3238147.3238206"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01398"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2020.2979701"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813nolinkurl10.1109"},{"key":"e_1_3_2_1_47_1","volume-title":"Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023","author":"Wang Yue","year":"2023","unstructured":"Yue Wang, Hung Le, Akhilesh Gotmare, Nghi D. Q. Bui, Junnan Li, and Steven C. H. Hoi. 2023b. CodeT5: Open Code Large Language Models for Code Understanding and Generation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6--10, 2023. Association for Computational Linguistics, 1069--1088."},{"key":"e_1_3_2_1_48_1","volume-title":"Image quality assessment: from error visibility to structural similarity","author":"Wang Zhou","year":"2004","unstructured":"Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli. 2004. Image quality assessment: from error visibility to structural similarity. IEEE transactions on image processing, Vol. 13, 4 (2004), 600--612."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3472749.3474763"},{"key":"e_1_3_2_1_50_1","volume-title":"Interaction2Code: How Far Are We From Automatic Interactive Webpage Generation? arXiv preprint arXiv:2411.03292","author":"Xiao Jingyu","year":"2024","unstructured":"Jingyu Xiao, Yuxuan Wan, Yintong Huo, Zhiyao Xu, and Michael R Lyu. 2024. Interaction2Code: How Far Are We From Automatic Interactive Webpage Generation? arXiv preprint arXiv:2411.03292 (2024)."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.109228"},{"key":"e_1_3_2_1_52_1","volume-title":"Yongxin Wang, Zutao Jiang, Mingkai Deng, Jinhong Wang, Tianhua Tao, Junbo Li, Haonan Li, Preslav Nakov, Timothy Baldwin, Zhengzhong Liu, Eric P. Xing, Xiaodan Liang, and Zhiqiang Shen.","author":"Yun Sukmin","year":"2024","unstructured":"Sukmin Yun, Haokun Lin, Rusiru Thushara, Mohammad Qazim Bhat, Yongxin Wang, Zutao Jiang, Mingkai Deng, Jinhong Wang, Tianhua Tao, Junbo Li, Haonan Li, Preslav Nakov, Timothy Baldwin, Zhengzhong Liu, Eric P. Xing, Xiaodan Liang, and Zhiqiang Shen. 2024. Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs. CoRR, Vol. abs\/2406.20098 (2024). showeprint[arXiv]2406.20098"}],"event":{"name":"WWW '25: The ACM Web Conference 2025","location":"Sydney NSW Australia","acronym":"WWW '25","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM on Web Conference 2025"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696410.3714891","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3696410.3714891","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T21:18:53Z","timestamp":1750281533000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696410.3714891"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,22]]},"references-count":51,"alternative-id":["10.1145\/3696410.3714891","10.1145\/3696410"],"URL":"https:\/\/doi.org\/10.1145\/3696410.3714891","relation":{},"subject":[],"published":{"date-parts":[[2025,4,22]]},"assertion":[{"value":"2025-04-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}