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Ditch the polarity labels: SemEval-2026's DimABSA task reveals how modeling sentiment along valence-arousal dimensions unlocks nuanced understanding in both aspect-based sentiment analysis and stance detection.
LLMs often fail to update their final predictions after interventions on intermediate reasoning steps, suggesting that these structures function more as influential context than stable causal mediators.
