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Time series counterfactual explanations can now be more realistic thanks to a novel soft-DTW-based approach that ensures temporal structure.
CounterFlowNet generates more diverse and plausible counterfactual explanations than existing methods by framing the search as a sequential decision process learned by a GFlowNet.
Hallucinations in multimodal models aren't a monolith: VIGIL breaks them down into five distinct categories, offering a much-needed fine-grained lens for evaluation.
