Schr ¨odinger’s CoT: Measuring the Causal Effect of Chains of Thought Alters That Effect
Daniel Kang, Sam Musker, Roman Feiman et al.
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This work investigates how MLLMs learn novel concepts by introducing concepts in unimodal pre-training or multimodal fine-tuning, and evaluates the model’s ability to generalize between the two settings, and evaluates how deeply a model maps concepts across modalities.