{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T23:37:51Z","timestamp":1761176271758,"version":"build-2065373602"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686318","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T00:00:00Z","timestamp":1761004800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,21]]},"abstract":"<jats:p>Prompt engineering is crucial for optimizing the performance of Large Language Models (LLMs), yet it remains a manual and resource-intensive process that requires multiple iterations of trial and error. Current automated prompt enhancement approaches face key challenges in preserving component relationships, managing computational requirements, and maintaining optimization traceability. This paper introduces CARE (Comprehensive Analyzer &amp; REfiner), an LLM-based dual-agent framework that models prompt enhancement as a staged transformation pipeline with explicit validation constraints. CARE tackles three fundamental challenges: prompt decomposition with interleaved dependencies, component interference in LLM processing, and semantic drift during refinement. The framework enables reliable prompt enhancement in a single iteration through systematic component extraction and rule-based transformations. Evaluation using established benchmarks demonstrates consistent improvements across diverse LLM architectures.<\/jats:p>","DOI":"10.3233\/faia251321","type":"book-chapter","created":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T09:58:10Z","timestamp":1761127090000},"source":"Crossref","is-referenced-by-count":0,"title":["CARE: Enhancing LLM Instruction Following via Dual-Agent Prompt Refinement"],"prefix":"10.3233","author":[{"given":"Nardine","family":"Basta","sequence":"first","affiliation":[{"name":"Macquarie University, Sydney, Australia"}]},{"given":"Benjamin Zi Hao","family":"Zhao","sequence":"additional","affiliation":[{"name":"Macquarie University, Sydney, Australia"}]},{"given":"Muhammad","family":"Ikram","sequence":"additional","affiliation":[{"name":"Macquarie University, Sydney, Australia"}]},{"given":"Mohamed Ali","family":"Kaafar","sequence":"additional","affiliation":[{"name":"Macquarie University, Sydney, Australia"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","ECAI 2025"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA251321","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T09:58:10Z","timestamp":1761127090000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA251321"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,21]]},"ISBN":["9781643686318"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia251321","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,21]]}}}