Prompt-Steerable Synthetic Data Generation: A Framework for Reliable and Scalable Structured Data Synthesis with LLM

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος:	Prompt-Steerable Synthetic Data Generation: A Framework for Reliable and Scalable Structured Data Synthesis with LLM
Συγγραφείς:	Lodhi, Pradeep Kumar^Aff13, Misra, Rajiv^Aff13, Mishra, Rahul^Aff13
Συνεισφορές:	Kacprzyk, Janusz, Series Editor^Aff1, Gomide, Fernando, Advisory Editor^Aff2, Kaynak, Okyay, Advisory Editor^Aff3, Liu, Derong, Advisory Editor^Aff4, Pedrycz, Witold, Advisory Editor^Aff5, Polycarpou, Marios M., Advisory Editor^Aff6, Rudas, Imre J., Advisory Editor^Aff7, Wang, Jun, Advisory Editor^Aff8, Misra, Rajiv, editor^Aff9, Garg, Lalit, editor^Aff10, Kesswani, Nishtha, editor^Aff11, Brigui, Imene, editor^Aff12
Πηγή:	From Algorithms to Applications: Computational Breakthroughs in Information Systems and Management Science : Proceedings of the 8th International Conference on Information Systems and Management Science (ISMS) 2025. 2076:153-170
Βάση Δεδομένων:	Springer Nature eBooks

Περιγραφή
ISBN:	9783032319975 9783032319982
DOI:	10.1007/978-3-032-31998-2_14