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dc.contributor.author Prasad, Kritarth
dc.contributor.author Goel, Ujjwal
dc.contributor.author Shah, Rajiv Ratn (Advisor)
dc.date.accessioned 2024-05-28T05:45:55Z
dc.date.available 2024-05-28T05:45:55Z
dc.date.issued 2023-11-29
dc.identifier.uri http://repository.iiitd.edu.in/xmlui/handle/123456789/1626
dc.description.abstract The 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.iso en_US en_US
dc.publisher IIIT-Delhi en_US
dc.title Scientific text generation en_US
dc.type Other en_US


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