@inproceedings{atabuzzaman-etal-2026-introconformal,
    title = "{I}ntro{C}onformal: Conformal Factuality Guarantees for Large Vision-Language Models via Introspective Signals",
    author = "Atabuzzaman, Md.  and
      Alexander, Christian  and
      Thomas, Chris",
    editor = "Lee, Hung-Yi  and
      Dev, Sunipa  and
      Li, Jessy  and
      Elliott, Desmond",
    booktitle = "Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.emnlp-main.2585/",
    pages = "58747--58764",
    ISBN = "979-8-89176-459-0"
}