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Analyzing the Innovative Potential of Texts Generated by Large Language Models: An Empirical Evaluation

Title:	Analyzing the Innovative Potential of Texts Generated by Large Language Models: An Empirical Evaluation
Authors:	Krauss, Oliver^{Aff12, Aff13}; Jungwirth, Michaela^{Aff12, Aff13}; Elflein, Marius^{Aff12, Aff13}; Sandler, Simone^{Aff12, Aff13}; Altenhofer, Christian^{Aff12, Aff13}; Stoeckl, Andreas^{Aff12, Aff14}
Contributors:	Filipe, Joaquim, Editorial Board Member^Aff1; Ghosh, Ashish, Editorial Board Member^Aff2; Prates, Raquel Oliveira, Editorial Board Member^Aff3; Zhou, Lizhu, Editorial Board Member^Aff4; Kotsis, Gabriele, editor^Aff5; Tjoa, A Min, editor^Aff6; Khalil, Ismail, editor^Aff7; Moser, Bernhard, editor^Aff8; Mashkoor, Atif, editor^Aff9; Sametinger, Johannes, editor^Aff10; Khan, Maqbool, editor^Aff11
Source:	Database and Expert Systems Applications - DEXA 2023 Workshops : 34th International Conference, DEXA 2023, Penang, Malaysia, August 28–30, 2023, Proceedings. 1872:11-22
Database:	Springer Nature eBooks