mdok-style at SemEval-2026 Task 10: Finetuning LLMs for Conspiracy Detection
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arXiv
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| Format: | Preprint |
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2026
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| _version_ | 1866911644572975104 |
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| author | Macko, Dominik |
| author_facet | Macko, Dominik |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2605_02712 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | mdok-style at SemEval-2026 Task 10: Finetuning LLMs for Conspiracy Detection Macko, Dominik Computation and Language Artificial Intelligence 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. |
| title | mdok-style at SemEval-2026 Task 10: Finetuning LLMs for Conspiracy Detection |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2605.02712 |