SubmissionNumber#=%=#7
FinalPaperTitle#=%=#CroCoSyn: A Cross-Lingual and Cross-Model Corpus of LLM-Generated Film Synopses
ShortPaperTitle#=%=#
NumberOfPages#=%=#6
CopyrightSigned#=%=#Louis Escouflaire
JobTitle#==#
Organization#==#MIT Trope Tank - Massachusetts Institute of Technology
Abstract#==#We introduce CroCoSyn, a controlled, cross-lingual and cross-model corpus of 25,920 LLM-generated film synopses in English and French. Each synopsis is generated under systematically varied conditions, including model type, temperature, genre, protagonist gender, and narrative constraints, and enriched with structured metadata capturing characters and their relationships. Comparing Mistral and Llama across different model temperature degrees, CroCoSyn enables fine-grained analysis of narrative content, style, and character representation across models and languages. The corpus supports research on gender and cultural biases and story generation evaluation, and provides a foundation for comparative studies between LLM-generated and human-written narratives.
Author{1}{Firstname}#=%=#Louis
Author{1}{Lastname}#=%=#Escouflaire
Author{1}{Username}#=%=#lescouflaire
Author{1}{Orcid}#=%=#
Author{1}{Email}#=%=#escouflaire.louis@hotmail.fr
Author{1}{Affiliation}#=%=#Massachusetts Institute of Technology

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