{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T19:59:46Z","timestamp":1785355186506,"version":"3.55.0"},"reference-count":27,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100014013","name":"UK Research and Innovation","doi-asserted-by":"crossref","award":["EP\/W020408\/1"],"award-info":[{"award-number":["EP\/W020408\/1"]}],"id":[{"id":"10.13039\/100014013","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Excellent Youth Project of Hunan Provincial Department of Education","award":["24B1103"],"award-info":[{"award-number":["24B1103"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3715025","type":"journal-article","created":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T20:21:06Z","timestamp":1784578866000},"page":"110514-110524","source":"Crossref","is-referenced-by-count":0,"title":["CLM: Contrastive Vision\u2013Language Prompting for Multimodal Product Summarization"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4435-6899","authenticated-orcid":false,"given":"Rong","family":"Nie","sequence":"first","affiliation":[{"name":"Hunan University of Applied Technology","place":["Changde, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-8090-1003","authenticated-orcid":false,"given":"Xiaochun","family":"Cheng","sequence":"additional","affiliation":[{"name":"Swansea University","place":["Swansea, U.K."],"department":["Department of Computer Science"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6332"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1448"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1147\/rd.22.0159"},{"key":"ref4","first-page":"1110","article-title":"Aspect and sentiment aware abstractive review summarization","volume-title":"Proc. 27th Int. Conf. Comput. Linguistics (COLING)","author":"Yang"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330725"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3532076"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1525\/9780520940420-020"},{"key":"ref8","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. 38th Int. Conf. Mach. Learn. (ICML)","author":"Radford"},{"key":"ref9","first-page":"16226","article-title":"Controlling vision-language models for multi-task image restoration","volume-title":"Proc. 12th Int. Conf. Learn. Represent. (ICLR)","author":"Luo"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72983-6_18"},{"key":"ref11","article-title":"ClipCap: CLIP prefix for image captioning","author":"Mokady","year":"2021","journal-title":"arXiv:2111.09734"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.445"},{"key":"ref13","article-title":"Exploring the limits of transfer learning with a unified text-to-text transformer","author":"Raffel","year":"2019","journal-title":"arXiv:1910.10683"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acllong.353"},{"key":"ref15","first-page":"1171","article-title":"Scheduled sampling for sequence prediction with recurrent neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst., Annu. Conf. Neural Inf. Process. Syst.","author":"Bengio"},{"key":"ref16","first-page":"2790","article-title":"Parameter-efficient transfer learning for NLP","volume-title":"Proc. 36th Int. Conf. Mach. Learn. (ICML)","author":"Houlsby"},{"key":"ref17","first-page":"3","article-title":"LoRA: Low-rank adaptation of large language models","volume-title":"Proc. 10th Int. Conf. Learn. Represent. (ICLR)","author":"Hu"},{"key":"ref18","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. 3rd Int. Conf. Learn. Represent. (ICLR)","author":"Kingma"},{"key":"ref19","first-page":"74","article-title":"ROUGE: A package for automatic evaluation of summaries","volume-title":"Proc. Text Summarization Branches Out, ACL Workshop","author":"Lin"},{"key":"ref20","article-title":"Bertscore: Evaluating text generation with BERT","volume-title":"Proc. The 8th Int. Conf. Learn. Represent. (ICLR)","author":"Zhang"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1523"},{"key":"ref22","first-page":"5926","article-title":"MASS: Masked sequence to sequence pre-training for language generation","volume-title":"Proc. 36th Int. Conf. Mach. Learn. (ICML)","author":"Song"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/p17-1099"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1093\/nsr\/nwae403"},{"key":"ref25","article-title":"Qwen2.5-coder technical report","author":"Hui","year":"2024","journal-title":"arXiv:2409.12186"},{"key":"ref26","article-title":"Qwen2-VL: Enhancing vision-language model\u2019s perception of the world at any resolution","author":"Wang","year":"2024","journal-title":"arXiv:2409.12191"},{"key":"ref27","volume-title":"GPT-4.1","year":"2025"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11614383.pdf?arnumber=11614383","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T19:08:15Z","timestamp":1785352095000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11614383\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3715025","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}