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VLMs can ace the ranking but bomb the scoring, revealing a critical flaw in how we evaluate multimodal systems.
Ditch the debugging loop: Enforcing structural correctness *before* execution makes LLM-generated EDA code twice as reliable and efficient.
Transformer-based visual trackers can slash compute by up to 12% without sacrificing accuracy, simply by dynamically adjusting their depth based on uncertainty.
