{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T01:38:32Z","timestamp":1772933912186,"version":"3.50.1"},"reference-count":53,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"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":[[2025,12,8]]},"DOI":"10.1109\/bigdata66926.2025.11401789","type":"proceedings-article","created":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T20:57:57Z","timestamp":1772830677000},"page":"7153-7162","source":"Crossref","is-referenced-by-count":0,"title":["Enhancing Genetic Algorithms for Feature Selection with Language Models"],"prefix":"10.1109","author":[{"given":"Francisco","family":"Galuppo","sequence":"first","affiliation":[{"name":"Universidade Federal de Minas Gerais (UFMG),CS Dept.,Belo Horizonte,Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gianlucca L.","family":"Zuin","sequence":"additional","affiliation":[{"name":"Universidade Federal de Minas Gerais (UFMG),CS Dept.,Belo Horizonte,Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guilherme","family":"Drummond","sequence":"additional","affiliation":[{"name":"Universidade Federal de Minas Gerais (UFMG),CS Dept.,Belo Horizonte,Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Denis","family":"Oliveira","sequence":"additional","affiliation":[{"name":"† Instituto Kunumi,Belo Horizonte,Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adriano A.","family":"Veloso","sequence":"additional","affiliation":[{"name":"Universidade Federal de Minas Gerais (UFMG),CS Dept.,Belo Horizonte,Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Eureka: Human-level reward design via coding large language models","volume-title":"2nd Workshop on Language and Robot Learning: Language as Grounding","author":"Ma","year":"2023"},{"key":"ref2","article-title":"Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects","author":"Hadi","year":"2024","journal-title":"Authorea Preprints"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/COMPSAC61105.2024.00027"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581388"},{"key":"ref5","article-title":"Is your 11 m secretly a world model of the internet? model-based planning for web agents","author":"Gu","year":"2024","journal-title":"arXiv preprint"},{"key":"ref6","article-title":"A survey of large language models","author":"Zhao","year":"2023","journal-title":"arXiv preprint"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.507"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1002\/smr.2723"},{"key":"ref9","article-title":"Data interpreter: An llm agent for data science","author":"Hong","year":"2024","journal-title":"arXiv preprint"},{"key":"ref10","article-title":"Early llmbased tools for enterprise information workers likely provide meaningful boosts to productivity","volume-title":"Microsoft Research. MSR-TR-2023-43","author":"Cambon","year":"2023"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.52202\/075280-0242"},{"key":"ref12","article-title":"Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face","volume":"36","author":"Shen","year":"2024","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref13","first-page":"1289","article-title":"An extensive empirical study of feature selection metrics for text classification","volume":"3","author":"Forman","year":"2003","journal-title":"J. Mach. Learn. Res."},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MIPRO.2015.7160458"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/WI.2004.10115"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.12.008"},{"key":"ref17","article-title":"Connecting large language models with evolutionary algorithms yields powerful prompt optimizers","volume-title":"The Twelfth International Conference on Learning Representations","author":"Guo","year":"2024"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3638529.3654178"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1080\/10447318.2024.2431761"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1515\/9781400881970-018"},{"key":"ref21","article-title":"Technology awards 2025: The awards recognise the most innovative banks across the world for their digital banking initiatives","volume-title":"The Banker","author":"Banker","year":"2025"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.52202\/068431-1800"},{"key":"ref23","article-title":"Selfcheck: Using 11 ms to zero-shot check their own step-by-step reasoning","author":"Miao","year":"2023","journal-title":"arXiv preprint"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1002\/cem.1180060506"},{"key":"ref25","author":"Babatunde","year":"2014","journal-title":"A genetic algorithm-based feature selection"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.mlwa.2024.100534"},{"key":"ref27","article-title":"Masca: Llm based-multi agents system for credit assessment","author":"Jajoo","year":"2025","journal-title":"arXiv preprint"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbef.2025.101067"},{"key":"ref29","article-title":"Advanced real-time fraud detection using rag-based llms","author":"Singh","year":"2025","journal-title":"arXiv preprint"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-013-1368-0"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.159"},{"key":"ref32","first-page":"129","article-title":"The feature selection problem: traditional methods and a new algorithm","volume-title":"Proceedings of the Tenth National Conference on Artificial Intelligence, ser. AAAI\u201992","author":"Kira","year":"1992"},{"issue":"11","key":"ref33","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v036.i11","article-title":"Feature selection with the boruta package","volume":"36","author":"Kursa","year":"2010","journal-title":"Journal of Statistical Software"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012487302797"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICEC.1997.592369"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295070"},{"key":"ref37","volume-title":"8080labs\/ppscore: zenodo release","author":"Wetschoreck","year":"2020"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3321\/j.issn:0529-6579.2007.z1.029"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btq134"},{"key":"ref40","article-title":"Taiwanese Bankruptcy Prediction","year":"2020","journal-title":"UCI Machine Learning Repository"},{"key":"ref41","article-title":"Divorce Predictors data set","year":"2019","journal-title":"UCI Machine Learning Repository"},{"key":"ref42","article-title":"Spambase","author":"Hopkins","year":"1999","journal-title":"UCI Machine Learning Repository"},{"key":"ref43","article-title":"Dota2 Games Results","author":"Tridgell","year":"2016","journal-title":"UCI Machine Learning Repository"},{"key":"ref44","article-title":"Crop mapping using fused optical-radar data set","year":"2020","journal-title":"UCI Machine Learning Repository"},{"key":"ref45","article-title":"Mice Protein Expression","author":"Higuera","year":"2015","journal-title":"UCI Machine Learning Repository"},{"key":"ref46","article-title":"Covertype","author":"Blackard","year":"1998","journal-title":"UCI Machine Learning Repository"},{"key":"ref47","article-title":"Visegrad Group companies data","author":"Tomczak","year":"2021","journal-title":"UCI Machine Learning Repository"},{"key":"ref48","article-title":"Myocardial infarction complications","author":"Golovenkin","year":"2020","journal-title":"UCI Machine Learning Repository"},{"key":"ref49","volume-title":"Regensburg pediatric appendicitis dataset","author":"Marcinkevi\u010ds","year":"2023"},{"key":"ref50","article-title":"Urban Land Cover","author":"Johnson","year":"2013","journal-title":"UCI Machine Learning Repository"},{"key":"ref51","article-title":"Communities and Crime","author":"Redmond","year":"2002","journal-title":"UCI Machine Learning Repository"},{"key":"ref52","article-title":"Online News Popularity","author":"Fernandes","year":"2015","journal-title":"UCI Machine Learning Repository"},{"key":"ref53","article-title":"Bradesco 2T25 - relat\u00f3rio de an\u00e1lise econ\u00f4mica e financeira","year":"2025","journal-title":"Bradesco - Rela\u00e7\u00e3o com Investidores"}],"event":{"name":"2025 IEEE International Conference on Big Data (BigData)","location":"Macau, China","start":{"date-parts":[[2025,12,8]]},"end":{"date-parts":[[2025,12,11]]}},"container-title":["2025 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11400704\/11400712\/11401789.pdf?arnumber=11401789","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T06:55:05Z","timestamp":1772866505000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11401789\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,8]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/bigdata66926.2025.11401789","relation":{},"subject":[],"published":{"date-parts":[[2025,12,8]]}}}