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Circuit-MLLM applies topological logic guidance to circuit schematic reasoning
A new arXiv preprint argues that multi-modal large language models handle circuit schematics poorly because these diagrams pack dense component layouts and connectivity into a single image. The authors propose Circuit-MLLM, which uses topological logic to steer visual reasoning within the model's latent space rather than relying on surface-level image features. The work is cross-listed under arXiv's cs.AI and cs.LG categories.