mdok-style at SemEval-2026 Task 10: Finetuning LLMs for Conspiracy Detection

May 04, 2026 ยท Grace Period ยท ๐Ÿ› the SemEval-2026 workshop of the ACL 2026 conference

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Authors Dominik Macko arXiv ID 2605.02712 Category cs.CL: Computation & Language Cross-listed cs.AI Citations 0 Venue the SemEval-2026 workshop of the ACL 2026 conference
Abstract
SemEval-2026 Task 10 is focused on conspiracy detection. Specifically, the goal is to detect whether a Reddit comment expresses a conspiracy belief. Our submitted mdok-style system utilizes data augmentation and self-training (to cope with a rather small amount of training data) to finetune the Qwen3-32B model for a binary text-classification task. The submitted system is very competitive, ranking in the 85th percentile (8th out of 52 submissions). The results shown that our approach, which originated in machine-generated text detection, can be used for conspiracy detection as well.
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