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Prompting is not Enough: Exploring Knowledge Integration and Controllable Generation on Large Language Models

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Published in:Big Data Mining and Analytics
Format: Online Article RSS Article
Published: 2026
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container_title Big Data Mining and Analytics
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
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institution FRELIP
journal_source_facet Big Data Mining and Analytics
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Prompting is not Enough: Exploring Knowledge Integration and Controllable Generation on Large Language Models
— — — — — — database management
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display — — — — — — database management
Computer Science & IT
Engineering & Technology
— — — — — — database management
Computer Science & IT
Engineering & Technology
subject_facet — — — — — — database management
Computer Science & IT
Engineering & Technology
title Prompting is not Enough: Exploring Knowledge Integration and Controllable Generation on Large Language Models
title_auth Prompting is not Enough: Exploring Knowledge Integration and Controllable Generation on Large Language Models
title_full Prompting is not Enough: Exploring Knowledge Integration and Controllable Generation on Large Language Models
title_fullStr Prompting is not Enough: Exploring Knowledge Integration and Controllable Generation on Large Language Models
title_full_unstemmed Prompting is not Enough: Exploring Knowledge Integration and Controllable Generation on Large Language Models
title_short Prompting is not Enough: Exploring Knowledge Integration and Controllable Generation on Large Language Models
title_sort prompting is not enough: exploring knowledge integration and controllable generation on large language models
topic — — — — — — database management
Computer Science & IT
Engineering & Technology
url http://ieeexplore.ieee.org/document/11373491