@inproceedings{kovac-etal-2025-recursive,
    title = "Recursive Training Loops in {LLM}s: How training data properties modulate distribution shift in generated data?",
    author = "Kova{\v{c}}, Grgur  and
      Perez, J{\'e}r{\'e}my  and
      Portelas, R{\'e}my  and
      Dominey, Peter Ford  and
      Oudeyer, Pierre-Yves",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.emnlp-main.1643/",
    pages = "32278--32297",
    ISBN = "979-8-89176-332-6"
}