{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T21:37:17Z","timestamp":1770068237814,"version":"3.49.0"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62076217"],"award-info":[{"award-number":["62076217"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62120106008"],"award-info":[{"award-number":["62120106008"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research and Development Program of Jiangsu Province in China","award":["BE2023315"],"award-info":[{"award-number":["BE2023315"]}]},{"name":"Yangzhou Science and Technology Plan Project City School Cooperation Special Project","award":["YZ2023199"],"award-info":[{"award-number":["YZ2023199"]}]},{"name":"Open Project of Anhui Provincial Key Laboratory for Intelligent Manufacturing of Construction Machinery","award":["IMCM-2023-01"],"award-info":[{"award-number":["IMCM-2023-01"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Emerg. Top. Comput. Intell."],"published-print":{"date-parts":[[2025,2]]},"DOI":"10.1109\/tetci.2024.3406418","type":"journal-article","created":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T18:05:24Z","timestamp":1717610724000},"page":"695-705","source":"Crossref","is-referenced-by-count":4,"title":["Clickbait Detection via Prompt-Tuning With Titles Only"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6863-4614","authenticated-orcid":false,"given":"Ye","family":"Wang","sequence":"first","affiliation":[{"name":"School of Information Engineering, Yangzhou University, Yangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3045-2588","authenticated-orcid":false,"given":"Yi","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Yangzhou University, Yangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5737-3594","authenticated-orcid":false,"given":"Yun","family":"Li","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Yangzhou University, Yangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5721-0293","authenticated-orcid":false,"given":"Jipeng","family":"Qiang","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Yangzhou University, Yangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3712-443X","authenticated-orcid":false,"given":"Yunhao","family":"Yuan","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Yangzhou University, Yangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2396-1704","authenticated-orcid":false,"given":"Xindong","family":"Wu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China), Hefei University of Technology, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2823465.2823467"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108605"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00062"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.9966"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/583"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301791"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106714"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.425"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/621"},{"key":"ref10","first-page":"1877","article-title":"Language models are few-shot learners","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Brown","year":"2020"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2023.3332787"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3560815"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3110025.3110054"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.pragma.2014.11.010"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-30671-1_72"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/NGCT.2016.7877426"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-56608-5_46"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA51294.2020.00116"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s42001-020-00063-y"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210144"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-017-1109-7"},{"key":"ref22","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","volume-title":"Proc Conf. North Amer. Ch. Assoc. Comput. Linguistics: Hum. Lang. Technol.","volume":"1","author":"Devlin"},{"key":"ref23","article-title":"RoBERTa: A robustly optimized BERT pretraining approach","author":"Liu","year":"2019"},{"issue":"1","key":"ref24","first-page":"5485","article-title":"Exploring the limits of transfer learning with a unified text-to-text transformer","volume":"21","author":"Raffel","year":"2020","journal-title":"J. Mach. Learn. Res."},{"key":"ref25","article-title":"Assessing BERT\u2019s syntactic abilities","author":"Goldberg","year":"2019"},{"key":"ref26","article-title":"Universal text representation from BERT: An empirical study","author":"Ma","year":"2019"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1356"},{"key":"ref28","first-page":"5479","article-title":"On unifying misinformation detection","volume-title":"Proc Conf. North Amer. Ch. Assoc. Comput. Linguistics: Hum. Lang. Technol.","author":"Lee"},{"key":"ref29","first-page":"7025","article-title":"Clickbait spoiling via question answering and passage retrieval","volume-title":"Proc. 60th Ann. Meeting Assoc. Comput. Linguistics","volume":"1","author":"Hagen"},{"key":"ref30","first-page":"182","article-title":"PTR: Prompt tuning with rules for text classification","volume-title":"AI Open","volume":"3","author":"Han","year":"2022"},{"key":"ref31","first-page":"2463","article-title":"Language models as knowledge bases?","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process. 9th Int. Joint Conf. Natural Lang. Process. (EMNLP-IJCNLP)","author":"Petroni"},{"key":"ref32","first-page":"2225","article-title":"Knowledgeable prompt-tuning: Incorporating knowledge into prompt verbalizer for text classification","volume-title":"Proc. 60th Annu. Meeting Assoc. Comput. Linguistics","volume":"1","author":"Hu"},{"key":"ref33","first-page":"4582","article-title":"Prefix-tuning: Optimizing continuous prompts for generation","volume-title":"Proc. 59th Annu. Meeting Assoc. Comput. Linguistics 11th Int. Joint Conf. Natural Lang. Process.","volume":"1","author":"Li"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00324"},{"key":"ref35","first-page":"4222","article-title":"Autoprompt: Eliciting knowledge from language models with automatically generated prompts","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process. (EMNLP)","author":"Shin"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01631"},{"key":"ref37","first-page":"3816","article-title":"Making pre-trained language models better few-shot learners","volume-title":"Proc. 59th Annu. Meeting Assoc. Comput. Linguistics 11th Int. Joint Conf. Natural Lang. Process.","volume":"1","author":"Gao"},{"key":"ref38","first-page":"5569","article-title":"Automatically identifying words that can serve as labels for few-shot text classification","volume-title":"Proc. 28th Int. Conf. Comput. Linguistics","author":"Schick"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-15931-2_19"},{"key":"ref40","first-page":"6057","article-title":"AdaPrompt: Adaptive model training for prompt-based NLP","volume-title":"Proc. Findings Assoc. Comput. Linguistics: EMNLP","author":"Chen"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.724"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2022-10610"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2021.3111589"},{"key":"ref44","first-page":"697","article-title":"Lespell-A multi-lingual benchmark corpus of spelling errors to develop spellchecking methods for learner language","volume-title":"Proc. Lang. Resour. Eval. Conf.","author":"Bexte","year":"2022"}],"container-title":["IEEE Transactions on Emerging Topics in Computational Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7433297\/10850886\/10549819.pdf?arnumber=10549819","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,24]],"date-time":"2025-01-24T05:51:41Z","timestamp":1737697901000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10549819\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2]]},"references-count":44,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tetci.2024.3406418","relation":{},"ISSN":["2471-285X"],"issn-type":[{"value":"2471-285X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2]]}}}