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However, existing methods suffer from high subjective bias, insufficient semantic coverage, and uneven representation ability of label words, which limits the further improvements in classification performance. To address these challenges, we propose KPTUltra. The model synergistically integrates multiple pre\u2010trained models and contrastive learning through class\u2010sensitive ranking method (CSR) to construct a robust semantic embedding space. Additionally, a genetic algorithm is employed to optimise the mapping between label word and class, enhancing screening stability and semantic matching. Secondly, we introduce a genetic algorithm\u2010based adaptive label word weight optimization mechanism (GAAWO), which dynamically adjusts both the composition and the weight distribution of label words in the latent space. This enables fine\u2010grained control and effectively reduces the impact of low\u2010representative label words. Extensive experiments on multiple few\u2010shot text classification benchmarks demonstrate that KPTUltra outperforms state\u2010of\u2010the\u2010art baseline methods, achieving superior overall performance.<\/jats:p>","DOI":"10.1111\/exsy.70224","type":"journal-article","created":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T09:55:15Z","timestamp":1772963715000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["<scp>KPTUltra<\/scp>\n                    : Dual\u2010Enhanced Knowledgeable Prompt Tuning for Few\u2010Shot Text Classification in Low\u2010Resource Scenarios"],"prefix":"10.1111","volume":"43","author":[{"given":"Wenlong","family":"Zha","sequence":"first","affiliation":[{"name":"Key Laboratory of Educational Informatization for Nationalities, Ministry of Education Yunnan Normal University  Yunnan China"},{"name":"Yunnan Key Laboratory of Smart Education Yunnan Normal University  Yunnan China"}]},{"given":"Mingtao","family":"Zhou","sequence":"additional","affiliation":[{"name":"Key Laboratory of Educational Informatization for Nationalities, Ministry of Education Yunnan Normal University  Yunnan China"},{"name":"Yunnan Key Laboratory of Smart Education Yunnan Normal University  Yunnan China"}]},{"given":"Juxiang","family":"Zhou","sequence":"additional","affiliation":[{"name":"Key Laboratory of Educational Informatization for Nationalities, Ministry of Education Yunnan Normal University  Yunnan China"},{"name":"Yunnan Key Laboratory of Smart Education Yunnan Normal University  Yunnan China"}]},{"given":"Jianhou","family":"Gan","sequence":"additional","affiliation":[{"name":"Key Laboratory of Educational Informatization for Nationalities, Ministry of Education Yunnan Normal University  Yunnan China"},{"name":"Yunnan Key Laboratory of Smart Education Yunnan Normal University  Yunnan China"}]},{"given":"Di","family":"Wu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Educational Informatization for Nationalities, Ministry of Education Yunnan Normal University  Yunnan China"},{"name":"Yunnan Key Laboratory of Smart Education Yunnan Normal University  Yunnan China"}]}],"member":"311","published-online":{"date-parts":[[2026,2,25]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.125952"},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.1162\/evco.1996.4.4.361"},{"key":"e_1_2_12_4_1","first-page":"1877","volume-title":"Advances in Neural Information Processing Systems 33","author":"Brown T.","year":"2020"},{"key":"e_1_2_12_5_1","volume-title":"EvoPrompting: Language Models for Code\u2010Level Neural Architecture Search","author":"Chen A.","year":"2023"},{"key":"e_1_2_12_6_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.483"},{"key":"e_1_2_12_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.125533"},{"key":"e_1_2_12_8_1","first-page":"4171","volume-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)","author":"Devlin J.","year":"2019"},{"issue":"1","key":"e_1_2_12_9_1","first-page":"1997","article-title":"Neural Architecture Search: A Survey","volume":"20","author":"Elsken T.","year":"2019","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_2_12_10_1","first-page":"3816","volume-title":"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)","author":"Gao T.","year":"2021"},{"key":"e_1_2_12_11_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.381"},{"key":"e_1_2_12_12_1","unstructured":"He P. 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