@inproceedings{daohuan-etal-2026-factuality,
title = "From Factuality to Meta-Factivity: A Cognitive Blueprint for Trustworthy {LLM}s",
author = "Daohuan, Liu and
Lun, Xia and
Wang, Yuer and
Su, Jiaoyang and
Tang, Xuri",
editor = "Liakata, Maria and
Moreira, Viviane P. and
Zhang, Jiajun and
Jurgens, David",
booktitle = "Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 2: Short Papers)",
month = jul,
year = "2026",
address = "San Diego, California, United States",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.acl-short.7/",
pages = "62--69",
ISBN = "979-8-89176-391-3",
abstract = "Current research on Event Factuality Prediction (EFP) predominantly treats LLMs as passive classifiers, where high aggregate metrics often mask shortcut learning and unreliable reasoning. In this position paper, we argue for a focus shift from event factuality to meta-factivity. We introduce the Meta-Factivity Framework (MFF), a theoretical roadmap that moves evaluation beyond surface recognition to belief trajectory reasoning and epistemic regulation. By framing hallucination as a failure of meta-cognitive control, we advocate for a transition from measuring black-box accuracy to evaluating white-box cognition, laying the groundwork for a more rigorous benchmark for explainable self-governance."
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%0 Conference Proceedings
%T From Factuality to Meta-Factivity: A Cognitive Blueprint for Trustworthy LLMs
%A Daohuan, Liu
%A Lun, Xia
%A Wang, Yuer
%A Su, Jiaoyang
%A Tang, Xuri
%Y Liakata, Maria
%Y Moreira, Viviane P.
%Y Zhang, Jiajun
%Y Jurgens, David
%S Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, United States
%@ 979-8-89176-391-3
%F daohuan-etal-2026-factuality
%X Current research on Event Factuality Prediction (EFP) predominantly treats LLMs as passive classifiers, where high aggregate metrics often mask shortcut learning and unreliable reasoning. In this position paper, we argue for a focus shift from event factuality to meta-factivity. We introduce the Meta-Factivity Framework (MFF), a theoretical roadmap that moves evaluation beyond surface recognition to belief trajectory reasoning and epistemic regulation. By framing hallucination as a failure of meta-cognitive control, we advocate for a transition from measuring black-box accuracy to evaluating white-box cognition, laying the groundwork for a more rigorous benchmark for explainable self-governance.
%U https://aclanthology.org/2026.acl-short.7/
%P 62-69
Markdown (Informal)
[From Factuality to Meta-Factivity: A Cognitive Blueprint for Trustworthy LLMs](https://aclanthology.org/2026.acl-short.7/) (Daohuan et al., ACL 2026)
ACL