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Current LMMs can't reliably turn complex images into code, failing to preserve structural integrity even in relatively simple scenarios, as shown by the new Omni-I2C benchmark.
LLMs struggle with new code frameworks because they lack training data capturing codebase relationships, but this work shows how to synthesize reasoning-aware data from code graphs to dramatically improve performance.
