Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/1626
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPrasad, Kritarth-
dc.contributor.authorGoel, Ujjwal-
dc.contributor.authorShah, Rajiv Ratn (Advisor)-
dc.date.accessioned2024-05-28T05:45:55Z-
dc.date.available2024-05-28T05:45:55Z-
dc.date.issued2023-11-29-
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/1626-
dc.description.abstractThe project focuses on controlling text generation through Large Language Models (LLMs) using advanced prompt engineering and knowledge representation. The project aims to improve controllable citation text generation and enhance the reasoning ability of LLMs in mathematics word problem questionanswering. Our research contributes to generate more accurate citations and effective LLMs interaction in Question-Answering for better education quality.en_US
dc.language.isoen_USen_US
dc.publisherIIIT-Delhien_US
dc.titleScientific text generationen_US
dc.typeOtheren_US
Appears in Collections:Year-2023

Files in This Item:
File Description SizeFormat 
BTP_report (2) - Ujjwal Goel.pdf
  Restricted Access
975.96 kBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.