{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T19:53:12Z","timestamp":1791402792268,"version":"4.3.3"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"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 Intell. Syst."],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1109\/mis.2026.3726702","type":"journal-article","created":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T19:12:34Z","timestamp":1791313954000},"page":"37-41","source":"Crossref","is-referenced-by-count":0,"title":["Artificial Intelligence in Research and Academic Publication"],"prefix":"10.1109","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5214-2268","authenticated-orcid":false,"given":"Yue","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Engineering at Westlake University","place":["Hangzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-2486-7709","authenticated-orcid":false,"given":"Qiujie","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Engineering at Westlake University","place":["Hangzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1017\/s0140525x00011183"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1177\/014107680609900414"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/d41586-025-02457-2"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-00287-7"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591764"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.acl-demo.30"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.acl-long.1107"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.acl-long.165"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.emnlp-main.1476"},{"key":"ref10","article-title":"Reviewing the reviewer: Elevating peer review quality through LLM-guided feedback","author":"Purkayastha","year":"2026"},{"key":"ref11","article-title":"Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025","author":"Thakkar","year":"2025"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.59717\/j.xinn-inform.2026.100030"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3805689.3806505"},{"key":"ref14","article-title":"Misleading large language models used (or misused) in scientific peer-reviewing via hidden prompt-injection attacks","author":"Collu","year":"2026","journal-title":"ACM Trans. AI Secur. Privacy"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.findings-emnlp.259"},{"key":"ref16","first-page":"24,814","article-title":"Fast-DetectGPT: Efficient zero-shot detection of machine-generated text via conditional probability curvature","volume-title":"Proc. 12th Int. Conf. Learn. Representations","author":"Bao","year":"2024"},{"key":"ref17","article-title":"Triospect: A Three-dimensional framework for robust statistical AI-generated text detection against diverse attacks","author":"Bao","year":"2026"},{"key":"ref18","article-title":"The Toronto paper matching system: An automated paper-reviewer assignment system, in","volume-title":"Proc. ICML Workshop Peer Reviewing Publishing Models","author":"Charlin","year":"2013"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1.12862"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.acl-long.1420"},{"key":"ref21","article-title":"ReviewerToo: Should AI Join the program committee? A look at the future of peer review","author":"Sahu","year":"2025"},{"key":"ref22","author":"Jin","year":"2024","journal-title":"AgentReview: Exploring peer review dynamics with LLM agents"},{"key":"ref23","article-title":"MARG: Multi-agent review generation for scientific papers","author":"D\u2019Arcy","year":"2024"},{"key":"ref24","article-title":"Peer review as a multi-turn and long-context dialogue with role-based interactions","author":"Tan","year":"2024"},{"key":"ref25","doi-asserted-by":"crossref","DOI":"10.21203\/rs.3.rs-10896922\/v1","article-title":"On the limits and opportunities of AI reviewers: Reviewing the reviews of nature-family papers with 45 expert scientists","author":"Kim","year":"2026"},{"key":"ref26","article-title":"From AI reviewers to evidence assistants: Quantifying the human-AI responsibility boundary in peer review","author":"Wang","year":"2026"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2026.acl-long.1477"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.52202\/079017-3655"},{"key":"ref29","article-title":"SurveyX: Academic survey automation via large language models","author":"Liang","year":"2025"},{"key":"ref30","first-page":"94,003","article-title":"Can LLMs generate novel research ideas? A large-scale human study with 100 NLP researchers","volume-title":"Proc. 13th Int. Conf. Learn. Representations (ICLR)","author":"Si","year":"2025"},{"key":"ref31","article-title":"Our first proof submissions","year":"2026","journal-title":"OpenAI"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-026-10644-y"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-026-10658-6"},{"key":"ref34","first-page":"3669","article-title":"CycleResearcher: Improving automated research via automated review","volume-title":"Proc. 13th Int. Conf. Learn. Representations","author":"Weng","year":"2025"},{"key":"ref35","first-page":"111,351","article-title":"AutoFigure: Generating and refining publication-ready scientific illustrations","volume-title":"Proc. 14th Int. Conf. Learn. Representations","author":"Zhu","year":"2026"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2026.acl-demo.6"},{"key":"ref37","first-page":"47981","article-title":"DeepScientist: Advancing frontier-pushing scientific findings progressively","volume-title":"Proc. 14th Int. Conf. Learn. Representations","author":"Weng","year":"2026"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.52202\/085713-0320"},{"key":"ref39","article-title":"The AI scientist-v2: Workshop-level automated scientific discovery via agentic tree search","author":"Yamada","year":"2025"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-026-10265-5"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2026.acl-demo.63"}],"container-title":["IEEE Intelligent Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/9670\/11721240\/11721450.pdf?arnumber=11721450","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T19:08:14Z","timestamp":1791400094000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11721450\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":41,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/mis.2026.3726702","relation":{},"ISSN":["1541-1672","1941-1294"],"issn-type":[{"value":"1541-1672","type":"print"},{"value":"1941-1294","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9]]}}}