{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T21:53:32Z","timestamp":1776117212297,"version":"3.50.1"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62202105"],"award-info":[{"award-number":["62202105"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Municipal Science and Technology Major Project","award":["2021SHZDZX0103"],"award-info":[{"award-number":["2021SHZDZX0103"]}]},{"name":"General Program","award":["21ZR1403300"],"award-info":[{"award-number":["21ZR1403300"]}]},{"name":"Sailing Program","award":["21YF1402900"],"award-info":[{"award-number":["21YF1402900"]}]},{"name":"ZJLab"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Visual. Comput. Graphics"],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1109\/tvcg.2023.3327353","type":"journal-article","created":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T17:54:39Z","timestamp":1698342879000},"page":"891-901","source":"Crossref","is-referenced-by-count":9,"title":["TransforLearn: Interactive Visual Tutorial for the Transformer Model"],"prefix":"10.1109","volume":"30","author":[{"given":"Lin","family":"Gao","sequence":"first","affiliation":[{"name":"School of Data Science, Fudan University, China"}]},{"given":"Zekai","family":"Shao","sequence":"additional","affiliation":[{"name":"School of Data Science, Fudan University, China"}]},{"given":"Ziqin","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Data Science, Fudan University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8442-5222","authenticated-orcid":false,"given":"Haibo","family":"Hu","sequence":"additional","affiliation":[{"name":"Chongqing University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6788-251X","authenticated-orcid":false,"given":"Cagatay","family":"Turkay","sequence":"additional","affiliation":[{"name":"University of Warwick, United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2690-3588","authenticated-orcid":false,"given":"Siming","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Data Science, Fudan University, China"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"From attention in transformers to dynamic routing in capsule nets","author":"Abnar","year":"2019"},{"key":"ref2","volume-title":"A visual guide to using bert for the first time","author":"Alammar","year":"2019"},{"key":"ref3","volume-title":"The illustrated retrieval transformer","author":"Alammar","year":"2022"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2021.09.002"},{"key":"ref5","volume-title":"Evaluating the quality of learning: The SOLO taxonomy (Structure of the Observed Learning Outcome)","author":"Biggs","year":"2014"},{"key":"ref6","volume-title":"Transformers from scratch","author":"Bloem","year":"2019"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IV51561.2020.00051"},{"key":"ref8","article-title":"Language models are few-shot learners","volume":"abs\/2005.14165","author":"Brown","year":"2020","journal-title":"CoRR"},{"key":"ref9","volume-title":"Transformer neural networks - explained! (attention is all you need)","year":"2022"},{"key":"ref10","volume-title":"Visualizing and measuring the geometry of bert","author":"Coenen","year":"2019"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2020.3028976"},{"key":"ref12","article-title":"BERT: pre-training of deep bidirectional transformers for language understanding","volume":"abs\/1810.04805","author":"Devlin","year":"2018","journal-title":"CoRR"},{"key":"ref13","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","volume":"abs\/2010.11929","author":"Dosovitskiy","year":"2020","journal-title":"CoRR"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13092"},{"key":"ref15","first-page":"2454","article-title":"Towards a deep and unified understanding of deep neural models in NLP","volume-title":"Proceedings of the 36th International Conference on Machine Learning, vol. 97 of Proceedings of Machine Learning Research","author":"Guan"},{"key":"ref16","volume-title":"Explainable artificial intelligence (xai) darpa-baa-16-53","author":"Gunning","year":"2016"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2018.2843369"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1006\/jvlc.2002.0237"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2023.3236380"},{"key":"ref21","article-title":"How does visualization help people learn deep learning? evaluation of gan lab","volume-title":"IEEE VIS 2019 Workshop on EValuation of Interactive VisuAl Machine Learning Systems","author":"Kahng","year":"2019"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/VIS47514.2020.00060"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2018.2864500"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2022.3209461"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2022.3184186"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2022.10.001"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3200489"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2016.2598831"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.visinf.2017.01.006"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376727"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1334"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2017.10.011"},{"key":"ref33","volume-title":"The annotated transformer","author":"Nlp","year":"2018"},{"key":"ref34","volume-title":"Olahs blogs","author":"Olah","year":"2020"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1511.08458"},{"key":"ref36","author":"Ouyang","year":"2022","journal-title":"Training language models to follow instructions with human feedback"},{"key":"ref37","volume-title":"Improving language understanding by generative pre-training","author":"Radford","year":"2018"},{"issue":"8","key":"ref38","first-page":"9","article-title":"Language models are unsupervised multitask learners","volume":"1","author":"Radford","year":"2019","journal-title":"OpenAI blog"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/b978-012506041-7\/50016-4"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-54024-5_6"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2023.3243676"},{"key":"ref42","article-title":"Fundamentals of recurrent neural network (RNN) and long short-term memory (LSTM) network","volume":"abs\/1808.03314","author":"Sherstinsky","year":"2018","journal-title":"CoRR"},{"key":"ref43","author":"Smilkov","year":"2017","journal-title":"Direct-manipulation visualization of deep networks"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2017.2744158"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref46","article-title":"Bertviz: A tool for visualizing multi-head self-attention in the bert model","volume-title":"ICLR Workshop: Debugging Machine Learning Models","author":"Vig"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/p19-3007"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2018.2864504"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2022.3201101"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2021.3114794"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-demo.16"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2020.3030418"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2017.2744878"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2022.3209423"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2744098"},{"key":"ref56","article-title":"Xlnet: Generalized autoregressive pretraining for language understanding","volume":"abs\/1906.08237","author":"Yang","year":"2019","journal-title":"CoRR"},{"key":"ref57","article-title":"Understanding neural networks through deep visualization","volume":"abs\/1506.06579","author":"Yosinski","year":"2015","journal-title":"CoRR"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2018.2840738"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-020-0191-7"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2022.3209469"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/3579473"},{"key":"ref62","author":"\u0160krlj","year":"2020","journal-title":"Attviz: Online exploration of self-attention for transparent neural language modeling"}],"container-title":["IEEE Transactions on Visualization and Computer Graphics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/2945\/10373160\/10297598.pdf?arnumber=10297598","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T04:33:03Z","timestamp":1727411583000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10297598\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1]]},"references-count":62,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tvcg.2023.3327353","relation":{},"ISSN":["1077-2626","1941-0506","2160-9306"],"issn-type":[{"value":"1077-2626","type":"print"},{"value":"1941-0506","type":"electronic"},{"value":"2160-9306","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1]]}}}