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Jagiellonian University
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Vision-language models aren't as entangled as we thought: a simple rotation can reveal surprisingly clean, interpretable features without adding parameters.
CounterFlowNet generates more diverse and plausible counterfactual explanations than existing methods by framing the search as a sequential decision process learned by a GFlowNet.
