{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T19:45:33Z","timestamp":1765309533096,"version":"3.46.0"},"publisher-location":"New York, NY, USA","reference-count":41,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No. 62036004, No. 62276219"],"award-info":[{"award-number":["No. 62036004, No. 62276219"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of Fujian Province of China","award":["No. 2024J011001"],"award-info":[{"award-number":["No. 2024J011001"]}]},{"name":"the Public Technology Service Platform Project of Xiamen","award":["No.3502Z20231043"],"award-info":[{"award-number":["No.3502Z20231043"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,27]]},"DOI":"10.1145\/3746027.3755319","type":"proceedings-article","created":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T06:54:17Z","timestamp":1761375257000},"page":"4127-4136","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Gloss Matters: Unlocking the Potential of Non-Autoregressive Sign Language Translation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-7497-6467","authenticated-orcid":false,"given":"Zhihao","family":"Wang","sequence":"first","affiliation":[{"name":"School of Informatics, Xiamen University, Xiamen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-9229-3843","authenticated-orcid":false,"given":"Shiyu","family":"Liu","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence, Xiamen University, Xiamen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4807-0062","authenticated-orcid":false,"given":"Zhiwei","family":"He","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9307-0566","authenticated-orcid":false,"given":"Kangjie","family":"Zheng","sequence":"additional","affiliation":[{"name":"Peking University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2230-9952","authenticated-orcid":false,"given":"Liangying","family":"Shao","sequence":"additional","affiliation":[{"name":"School of Informatics, Xiamen University, Xiamen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2330-7406","authenticated-orcid":false,"given":"Junfeng","family":"Yao","sequence":"additional","affiliation":[{"name":"School of Film, Xiamen University, Xiamen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5606-7122","authenticated-orcid":false,"given":"Jinsong","family":"Su","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan (Xiamen University), Ministry of Culture and Tourism, Xiamen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,10,27]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00812"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01004"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2025.3553052"},{"key":"e_1_3_2_1_4_1","volume-title":"Proceedings of the 38th International Conference on Machine Learning (ICML) (Proceedings of Machine Learning Research","volume":"2859","author":"Du Cunxiao","year":"2021","unstructured":"Cunxiao Du, Zhaopeng Tu, and Jing Jiang. 2021. Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation. In Proceedings of the 38th International Conference on Machine Learning (ICML) (Proceedings of Machine Learning Research, Vol. 139). PMLR, Virtual Event, 2849-2859. https:\/\/proceedings.mlr.press\/v139\/du21c.html"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.18653\/V1\/D19-1633"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01738"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143891"},{"key":"e_1_3_2_1_8_1","volume-title":"Proceedings of the 6th International Conference on Learning Representations (ICLR). OpenReview.net","author":"Gu Jiatao","year":"2018","unstructured":"Jiatao Gu, James Bradbury, Caiming Xiong, Victor O. K. Li, and Richard Socher. 2018. Non-Autoregressive Neural Machine Translation. In Proceedings of the 6th International Conference on Learning Representations (ICLR). OpenReview.net, Vancouver, BC, Canada. https:\/\/openreview.net\/forum?id=B1l8BtlCb"},{"key":"e_1_3_2_1_9_1","first-page":"11179","volume-title":"Advances in Neural Information Processing Systems (NeurIPS)","volume":"32","author":"Gu Jiatao","year":"2019","unstructured":"Jiatao Gu, Changhan Wang, and Junbo Zhao. 2019. Levenshtein Transformer. In Advances in Neural Information Processing Systems (NeurIPS), Vol. 32. Curran Associates, Inc., Vancouver, BC, Canada, 11179-11189. https:\/\/proceedings.neurips.cc\/paper\/2019\/hash\/675f9820626f5bc0afb47b57890b466e-Abstract.html"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01111"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10446966"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3269220"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i10.21323"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00582"},{"key":"e_1_3_2_1_15_1","volume-title":"Proceedings of the 39th International Conference on Machine Learning (ICML) (Proceedings of Machine Learning Research","volume":"9376","author":"Huang Fei","year":"2022","unstructured":"Fei Huang, Tianhua Tao, Hao Zhou, Lei Li, and Minlie Huang. 2022b. On the Learning of Non-Autoregressive Transformers. In Proceedings of the 39th International Conference on Machine Learning (ICML) (Proceedings of Machine Learning Research, Vol. 162). PMLR, Baltimore, Maryland, USA, 9356-9376. https:\/\/proceedings.mlr.press\/v162\/huang22k.html"},{"key":"e_1_3_2_1_16_1","volume-title":"Proceedings of the 39th International Conference on Machine Learning (ICML) (Proceedings of Machine Learning Research","volume":"9428","author":"Huang Fei","year":"2022","unstructured":"Fei Huang, Hao Zhou, Yang Liu, Hang Li, and Minlie Huang. 2022c. Directed Acyclic Transformer for Non-Autoregressive Machine Translation. In Proceedings of the 39th International Conference on Machine Learning (ICML) (Proceedings of Machine Learning Research, Vol. 162). PMLR, Baltimore, Maryland, USA, 9410-9428. https:\/\/proceedings.mlr.press\/v162\/huang22m.html"},{"key":"e_1_3_2_1_17_1","volume-title":"Proceedings of the 10th International Conference on Learning Representations (ICLR). OpenReview.net, Virtual Event. https:\/\/openreview.net\/forum?id=I2Hw58KHp8O","author":"Huang Xiao Shi","year":"2022","unstructured":"Xiao Shi Huang, Felipe P\u00e9rez, and Maksims Volkovs. 2022a. Improving Non-Autoregressive Translation Models Without Distillation. In Proceedings of the 10th International Conference on Learning Representations (ICLR). OpenReview.net, Virtual Event. https:\/\/openreview.net\/forum?id=I2Hw58KHp8O"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.naacl-long.197"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72946-1_20"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","unstructured":"Jungeun Kim Hyeongwoo Jeon Jongseong Bae and Ha Young Kim. 2024. Leveraging the Power of MLLMs for Gloss-Free Sign Language Translation. arXiv:2411.16789 doi:10.48550\/arXiv.2411.16789","DOI":"10.48550\/arXiv.2411.16789"},{"key":"e_1_3_2_1_21_1","first-page":"74","volume-title":"ROUGE: A Package for Automatic Evaluation of Summaries. In Text Summarization Branches Out (ACL Workshop). Association for Computational Linguistics","author":"Lin Chin-Yew","year":"2004","unstructured":"Chin-Yew Lin. 2004. ROUGE: A Package for Automatic Evaluation of Summaries. In Text Summarization Branches Out (ACL Workshop). Association for Computational Linguistics, Barcelona, Spain, 74-81. https:\/\/aclanthology.org\/W04-1013\/"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i6.32612"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.acl-long.85"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/n19-4009"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.3115\/1073083.1073135"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.155"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.213"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/n18-2074"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2019.103168"},{"key":"e_1_3_2_1_30_1","first-page":"5998","volume-title":"Advances in Neural Information Processing Systems (NeurIPS)","volume":"30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is All you Need. In Advances in Neural Information Processing Systems (NeurIPS), Vol. 30. Curran Associates, Inc., Long Beach, CA, USA, 5998-6008. https:\/\/proceedings.neurips.cc\/paper\/2017\/hash\/3f5ee243547dee91fbd053c1c4a845aa-Abstract.html"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-acl.763"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","unstructured":"Zhihao Wang Longyue Wang Jinsong Su Junfeng Yao and Zhaopeng Tu. 2024. On the Information Redundancy in Non-Autoregressive Translation. arXiv:2405.02673 doi:10.48550\/arXiv.2405.02673","DOI":"10.48550\/arXiv.2405.02673"},{"key":"e_1_3_2_1_33_1","volume-title":"Proceedings of the 12th International Conference on Learning Representations (ICLR). OpenReview.net","author":"Wong Ryan","year":"2024","unstructured":"Ryan Wong, Necati Cihan Camg\u00f6z, and Richard Bowden. 2024. Sign2GPT: Leveraging Large Language Models for Gloss-Free Sign Language Translation. In Proceedings of the 12th International Conference on Learning Representations (ICLR). OpenReview.net, Vienna, Austria. https:\/\/openreview.net\/forum?id=LqaEEs3UxU"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.904"},{"key":"e_1_3_2_1_35_1","first-page":"107379","volume-title":"Advances in Neural Information Processing Systems (NeurIPS)","volume":"37","author":"Ye Jinhui","year":"2024","unstructured":"Jinhui Ye, Xing Wang, Wenxiang Jiao, Junwei Liang, and Hui Xiong. 2024. Improving Gloss-free Sign Language Translation by Reducing Representation Density. In Advances in Neural Information Processing Systems (NeurIPS), Vol. 37. Curran Associates, Inc., Vancouver, BC, Canada, 107379-107402. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2024\/hash\/c225136cfe52a8fd66658bbcf9d894ab-Abstract-Conference.html"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.3233\/FAIA240495"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2023\/584"},{"key":"e_1_3_2_1_38_1","volume-title":"Proceedings of the 11th International Conference on Learning Representations (ICLR). OpenReview.net, Kigali, Rwanda. https:\/\/openreview.net\/forum?id=EBS4C77p_5S","author":"Zhang Biao","year":"2023","unstructured":"Biao Zhang, Mathias M\u00fcller, and Rico Sennrich. 2023. SLTUNET: A Simple Unified Model for Sign Language Translation. In Proceedings of the 11th International Conference on Learning Representations (ICLR). OpenReview.net, Kigali, Rwanda. https:\/\/openreview.net\/forum?id=EBS4C77p_5S"},{"key":"e_1_3_2_1_39_1","first-page":"114018","volume-title":"Advances in Neural Information Processing Systems (NeurIPS)","volume":"37","author":"Zhang Biao","year":"2024","unstructured":"Biao Zhang, Garrett Tanzer, and Orhan Firat. 2024. Scaling Sign Language Translation. In Advances in Neural Information Processing Systems (NeurIPS), Vol. 37. Curran Associates, Inc., Vancouver, BC, Canada, 114018-114047. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2024\/hash\/ced76a666704e381c3039871ffe558ee-Abstract-Conference.html"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11984"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.08.079"}],"event":{"name":"MM '25: The 33rd ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Dublin Ireland","acronym":"MM '25"},"container-title":["Proceedings of the 33rd ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746027.3755319","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T19:41:06Z","timestamp":1765309266000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746027.3755319"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,27]]},"references-count":41,"alternative-id":["10.1145\/3746027.3755319","10.1145\/3746027"],"URL":"https:\/\/doi.org\/10.1145\/3746027.3755319","relation":{},"subject":[],"published":{"date-parts":[[2025,10,27]]},"assertion":[{"value":"2025-10-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}