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%2C which incorporates the following techniques: (1) a two-stage training scheme for the Circuit Transformer tailored for logic synthesis%2C with iterative improvement of optimality through self-improvement training%3B (2) integration of the Circuit Transformer with state-of-the-art rewriting techniques to address scalability issues%2C allowing for guided DAG-aware rewriting. Experimental results on the IWLS 2023 contest benchmark demonstrate the effectiveness of our proposed rewriting methods.?quality=80&w=800)
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