AI RESEARCH
SemEval-2026 Task 12: Abductive Event Reasoning: Towards Real-World Event Causal Inference for Large Language Models
arXiv CS.AI
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ArXi:2603.21720v1 Announce Type: cross Understanding why real-world events occur is important for both natural language processing and practical decision-making, yet direct-cause inference remains underexplored in evidence-rich settings. To address this gap, we organized SemEval-2026 Task 12: Abductive Event Reasoning (AER).\footnote{The task data is available at The task asks systems to identify the most plausible direct cause of a target event from ing evidence.