{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T20:57:27Z","timestamp":1776113847966,"version":"3.50.1"},"reference-count":68,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100007219","name":"Natural Science Foundation of Shanghai","doi-asserted-by":"publisher","award":["24ZR1405000"],"award-info":[{"award-number":["24ZR1405000"]}],"id":[{"id":"10.13039\/100007219","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Postdoctoral Fellowship Program of CPSF","award":["GZC20242252"],"award-info":[{"award-number":["GZC20242252"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Serv. Comput."],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1109\/tsc.2026.3656204","type":"journal-article","created":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T21:10:12Z","timestamp":1769029812000},"page":"1363-1378","source":"Crossref","is-referenced-by-count":0,"title":["LogInstruct: Knowledge-Driven Instruction Synthesis for Enhancing LLM-Based Log Analysis"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5974-5988","authenticated-orcid":false,"given":"Lipeng","family":"Ma","sequence":"first","affiliation":[{"name":"School of Computer Science, Fudan University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9229-7555","authenticated-orcid":false,"given":"Yixuan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science, Fudan University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6473-9272","authenticated-orcid":false,"given":"Weidong","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Fudan University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3289-0533","authenticated-orcid":false,"given":"Mingjie","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Computer Science, Fudan University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5921-4378","authenticated-orcid":false,"given":"Mingyu","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3219-9996","authenticated-orcid":false,"given":"Ben","family":"Fei","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, the Chinese University of Hong Kong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5175-7667","authenticated-orcid":false,"given":"Shuhao","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science, Fudan University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0736-6457","authenticated-orcid":false,"given":"Sihang","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Fudan University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8403-9591","authenticated-orcid":false,"given":"Yanghua","family":"Xiao","sequence":"additional","affiliation":[{"name":"School of Computer Science, Fudan University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3460345"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3715005"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2024.3489444"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3468264.3473919"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3134015"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3338906.3338931"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ISSRE5003.2020.00018"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ASE51524.2021.9678773"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3510003.3510155"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3511993"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2023.3270566"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3597503.3623308"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2023.3290018"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3597503.3639205"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3597503.3639155"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE48619.2023.00204"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3597503.3623304"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3643733"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671810"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE-SEIP66354.2025.00041"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3639476.3639773"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3749840"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3674805.3686684"},{"key":"ref24","first-page":"1","article-title":"OpenRCA: Can large language models locate the root cause of software failures?","volume-title":"Proc. 13th Int. Conf. Learn. Representations","author":"Xu","year":"2025"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE55347.2025.00174"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICWS.2017.13"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE-SEIP.2019.00021"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2023.3293890"},{"key":"ref29","article-title":"Gpt-4 technical report","author":"Achiam","year":"2023"},{"key":"ref30","article-title":"DeepSeek-V3 technical report","author":"Liu","year":"2024"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3777411"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.754"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.557"},{"key":"ref34","first-page":"52632","article-title":"MagiCoder: Empowering code generation with OSS-instruct","volume-title":"Proc. 41st Int. Conf. Mach. Learn.","author":"Wei","year":"2024"},{"key":"ref35","article-title":"OpenCodeInstruct: A large-scale instruction tuning dataset for code LLMs","author":"Ahmad"},{"key":"ref36","article-title":"AlpaCare: Instruction-tuned large language models for medical application","author":"Zhang","year":"2023"},{"key":"ref37","article-title":"LawGPT: A chinese legal knowledge-enhanced large language model","author":"Zhou"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3468264.3473933"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.emnlp-main.54"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.acl-long.1084"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.22555\/joeed.v3i2.1034"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i21.30353"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3597503.3639150"},{"key":"ref44","first-page":"35","article-title":"Interpretable online log analysis using large language models with prompt strategies","volume-title":"Proc. 32nd IEEE\/ACM Int. Conf. Prog. Comprehension","author":"Liu","year":"2024"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ISSRE62328.2024.00016"},{"key":"ref46","article-title":"Stronger, cheaper and demonstration-free log parsing with LLMs","author":"Xiao"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/HPCC-DSS-SmartCity-DependSys60770.2023.00045"},{"key":"ref48","article-title":"LogLLM: Log-based anomaly detection using large language models","author":"Guan","year":"2024"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.52202\/079017-0046"},{"key":"ref50","first-page":"1","article-title":"WizardLM: Empowering large pre-trained language models to follow complex instructions","volume-title":"Proc. 12th Int. Conf. Learn. Representations","author":"Xu","year":"2024"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.52202\/075280-2400"},{"key":"ref52","article-title":"A survey of large language models","author":"Zhao","year":"2023"},{"key":"ref53","first-page":"22964","article-title":"What language model architecture and pretraining objective works best for zero-shot generalization?","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Wang","year":"2022"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.acl-demos.38"},{"key":"ref55","article-title":"Qwen2. 5 technical report","author":"Yang","year":"2024"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ISSRE59848.2023.00071"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/K19-1074"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2023.110689"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/IWQoS57198.2023.10188759"},{"issue":"70","key":"ref60","first-page":"1","article-title":"Scaling instruction-finetuned language models","volume":"25","author":"Chung","year":"2024","journal-title":"J. Mach. Learn. Res."},{"key":"ref61","article-title":"The LLaMA 3 herd of models","author":"Grattafiori","year":"2024"},{"key":"ref62","first-page":"1","article-title":"MINT: Evaluating LLMs in multi-turn interaction with tools and language feedback","volume-title":"Proc. 25th Int. Conf. Learn. Representations","author":"Wang","year":"2025"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2025.3594046"},{"key":"ref64","first-page":"1854","article-title":"JiuZhang3. 0: Efficiently improving mathematical reasoning by training small data synthesis models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"37","author":"Zhou","year":"2024"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i23.34593"},{"key":"ref66","first-page":"47885","article-title":"MathScale: Scaling instruction tuning for mathematical reasoning","volume-title":"Proc. 41st Int. Conf. Mach. Learn.","author":"Tang","year":"2024"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i16.29721"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1249"}],"container-title":["IEEE Transactions on Services Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/4629386\/11479482\/11359529.pdf?arnumber=11359529","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T19:37:19Z","timestamp":1776109039000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11359529\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":68,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tsc.2026.3656204","relation":{},"ISSN":["1939-1374","2372-0204"],"issn-type":[{"value":"1939-1374","type":"electronic"},{"value":"2372-0204","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3]]}}}