{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T06:12:57Z","timestamp":1774419177904,"version":"3.50.1"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"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":[],"published-print":{"date-parts":[[2025,4,6]]},"DOI":"10.1109\/icassp49660.2025.10889661","type":"proceedings-article","created":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T13:52:43Z","timestamp":1741787563000},"page":"1-5","source":"Crossref","is-referenced-by-count":3,"title":["Enhancing Text Annotation Through Rationale-Driven Collaborative Few-Shot Prompting"],"prefix":"10.1109","author":[{"given":"Jianfei","family":"Wu","sequence":"first","affiliation":[{"name":"Beijing Normal University,College of Artificial Intelligence,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xubin","family":"Wang","sequence":"additional","affiliation":[{"name":"Hong Kong Baptist University,Department of Computer Science,Hong Kong,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weijia","family":"Jia","sequence":"additional","affiliation":[{"name":"Beijing Normal University,College of Artificial Intelligence,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"issue":"2","key":"ref1","first-page":"302","article-title":"Survey of data annotation","volume":"31","author":"CAI","year":"2019","journal-title":"Journal of software"},{"key":"ref2","article-title":"Automated annotation with generative ai requires validation","author":"Pangakis","year":"2023"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2305016120"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.626"},{"key":"ref5","doi-asserted-by":"crossref","DOI":"10.31219\/osf.io\/rvy5p","article-title":"Testing the reliability of chatgpt for text annotation and classification: A cautionary remark","author":"Reiss","year":"2023"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.emnlp-main.54"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1162\/coli.a.16"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.bionlp-1.30"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10447803"},{"key":"ref10","article-title":"Brainstorming brings power to large language models of knowledge reasoning","author":"Qin","year":"2024"},{"key":"ref11","article-title":"Universal self-consistency for large language models","volume-title":"ICML 2024 Workshop on In-Context Learning","author":"Chen"},{"key":"ref12","article-title":"# instag: Instruction tagging for analyzing supervised fine-tuning of large language models","author":"Lu","year":"2023","journal-title":"ICLR"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.870"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3640543.3645174"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10447353"},{"key":"ref16","article-title":"Finetuned language models are zero-shot learners","author":"Wei","year":"2022","journal-title":"ICLR"},{"key":"ref17","first-page":"1877","article-title":"Language models are few-shot learners","volume":"33","author":"Brown","year":"2020","journal-title":"NIPS"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.260"},{"key":"ref19","first-page":"24824","article-title":"Chain-of-thought prompting elicits reasoning in large language models","volume":"35","author":"Wei","year":"2022","journal-title":"NIPS"},{"key":"ref20","article-title":"Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors","author":"Chen","year":"2023","journal-title":"ICLR"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D13-1170"},{"key":"ref22","article-title":"Character-level convolutional networks for text classification","volume":"28","author":"Zhang","year":"2015","journal-title":"NIPS"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3233\/SW-140134"}],"event":{"name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Hyderabad, India","start":{"date-parts":[[2025,4,6]]},"end":{"date-parts":[[2025,4,11]]}},"container-title":["ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10887540\/10887541\/10889661.pdf?arnumber=10889661","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T05:21:07Z","timestamp":1774416067000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10889661\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,6]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/icassp49660.2025.10889661","relation":{},"subject":[],"published":{"date-parts":[[2025,4,6]]}}}