{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:34:38Z","timestamp":1759332878302,"version":"build-2065373602"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,8,17]],"date-time":"2025-08-17T00:00:00Z","timestamp":1755388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,8,17]],"date-time":"2025-08-17T00:00:00Z","timestamp":1755388800000},"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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010428","name":"Innovation and Technology Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010428","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100003012","name":"Impact Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100003012","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,8,17]]},"DOI":"10.1109\/case58245.2025.11163960","type":"proceedings-article","created":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T17:24:07Z","timestamp":1758648247000},"page":"3373-3378","source":"Crossref","is-referenced-by-count":0,"title":["CL-Tuning: A Curriculum Learning-Based Progressive Fine-Tuning Framework for Large Language Models in Social Manufacturing"],"prefix":"10.1109","author":[{"given":"Kexin","family":"Sun","sequence":"first","affiliation":[{"name":"The Hong Kong Polytechnic University,Department of Industrial and System Engineering,Hong Kong,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yujie","family":"Han","sequence":"additional","affiliation":[{"name":"The Hong Kong Polytechnic University,Faculty of Industrial and System Engineering,Hong Kong,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiheng","family":"Zhao","sequence":"additional","affiliation":[{"name":"The Hong Kong Polytechnic University,Department of Industrial and System Engineering,Hong Kong,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Geroge Q.","family":"Huang","sequence":"additional","affiliation":[{"name":"The Hong Kong Polytechnic University,Department of Industrial and System Engineering,Hong Kong,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mfglet.2015.12.002"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3730436.3730456"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICAAEEI63658.2024.10899129"},{"key":"ref4","first-page":"15 497","article-title":"Coevolving with the other you: Fine-tuning llm with sequential cooperative multi-agent reinforcement learning","volume":"37","author":"Ma","year":"2024","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/RICAI60863.2023.10489566"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/electronics13244912"},{"article-title":"The ultimate guide to fine-tuning llms from basics to breakthroughs: An exhaustive review of technologies, research, best practices, applied research challenges and opportunities","year":"2024","author":"Parthasarathy","key":"ref7"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.36001\/phme.2024.v8i1.4114"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/INDIN58382.2024.10774330"},{"key":"ref10","first-page":"8887","article-title":"A comparative analysis of timegpt and time-llm in predicting esp maintenance needs in the oil and gas sector","volume":"975","author":"Paroha","year":"2024","journal-title":"International Journal of Computer Applications"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553380"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_9"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1486"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3390051"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2024.109201"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/n19\u20131423"},{"key":"ref17","first-page":"2383","article-title":"SQuAD: 100,000+ questions for machine comprehension of text","volume-title":"Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing","author":"Rajpurkar"},{"issue":"2","key":"ref18","first-page":"3","article-title":"Lora: Low-rank adaptation of large language models","volume":"1","author":"Hu","year":"2022","journal-title":"ICLR"},{"key":"ref19","first-page":"2790","article-title":"Parameter-efficient transfer learning for nlp","volume-title":"International Conference on machine learning","author":"Houlsby"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.353"}],"event":{"name":"2025 IEEE 21st International Conference on Automation Science and Engineering (CASE)","start":{"date-parts":[[2025,8,17]]},"location":"Los Angeles, CA, USA","end":{"date-parts":[[2025,8,21]]}},"container-title":["2025 IEEE 21st International Conference on Automation Science and Engineering (CASE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11163731\/11163732\/11163960.pdf?arnumber=11163960","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T16:03:31Z","timestamp":1759248211000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11163960\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,17]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/case58245.2025.11163960","relation":{},"subject":[],"published":{"date-parts":[[2025,8,17]]}}}