{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T18:54:15Z","timestamp":1766602455116,"version":"3.48.0"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2026,1,1]]},"DOI":"10.1109\/jiot.2025.3629943","type":"journal-article","created":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T18:54:31Z","timestamp":1762455271000},"page":"1509-1523","source":"Crossref","is-referenced-by-count":0,"title":["Adaptive Chain-of-Thought Framework for Dynamic Reasoning in Adverse Drug Reaction Extraction and Standardization"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2837-5157","authenticated-orcid":false,"given":"Xiaojun","family":"Ren","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, Guangzhou University, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4133-6737","authenticated-orcid":false,"given":"Shenghao","family":"Li","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Guangzhou University, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9867-6050","authenticated-orcid":false,"given":"Yang","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Guangzhou University, Guangzhou, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s40264-023-01278-4"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(00)02799-9"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-76941-7_44"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.insights-1.11"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.868"},{"key":"ref6","article-title":"Active prompting with chain-of-thought for large language models","author":"Diao","year":"2023","journal-title":"arXiv:2302.12246"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2024.104621"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.2174\/0115748863276456231016062628"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/pds.5768"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.14500\/aro.11403"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3645089"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1071\/AH25005"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-88717-8_17"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1111\/exsy.13303"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.5220\/0013160700003911"},{"key":"ref16","first-page":"24824","article-title":"Chain-of-thought prompting elicits reasoning in large language models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Wei"},{"key":"ref17","article-title":"Automatic chain of thought prompting in large language models","author":"Zhang","year":"2022","journal-title":"arXiv:2210.03493"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.153"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IALP61005.2023.10337264"},{"key":"ref20","article-title":"Graphical reasoning: LLM-based semi-open relation extraction","author":"Tao","year":"2024","journal-title":"arXiv:2405.00216"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.328"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.52202\/079017-2123"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.52202\/079017-1740"},{"key":"ref24","first-page":"333","article-title":"Chain of preference optimization: Improving chain-of-thought reasoning in LLMs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"37","author":"Zhang"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.acl-long.720"},{"key":"ref26","article-title":"Mind your step (by Step): Chain-of-thought can reduce performance on tasks where thinking makes humans worse","author":"Liu","year":"2024","journal-title":"arXiv:2410.21333"},{"key":"ref27","article-title":"Text and patterns: For effective chain of thought, it takes two to tango","author":"Madaan","year":"2022","journal-title":"arXiv:2209.07686"},{"key":"ref28","article-title":"Self-consistency improves chain of thought reasoning in language models","author":"Wang","year":"2022","journal-title":"arXiv:2203.11171"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i23.34608"},{"key":"ref30","article-title":"Dynamic chain-of-thought: Towards adaptive deep reasoning","author":"Wang","year":"2025","journal-title":"arXiv:2502.10428"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11313656\/11230555.pdf?arnumber=11230555","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T18:47:48Z","timestamp":1766602068000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11230555\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,1]]},"references-count":30,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2025.3629943","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"type":"electronic","value":"2327-4662"},{"type":"electronic","value":"2372-2541"}],"subject":[],"published":{"date-parts":[[2026,1,1]]}}}