PostEDA-Bench shows LLM agents achieve reasonable performance on synthetic DRC-Essential and single-objective PPA tasks but only 36.66% success on DRC-Reasoning and 20% on multi-objective PPA tasks.
The protocol does not produce inter-annotator agreement scores; it is a within-annotator self- consistency procedure
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Bridging the Last Mile of Circuit Design: PostEDA-Bench, a Hierarchical Benchmark for PPA Convergence and DRC Fixing
PostEDA-Bench shows LLM agents achieve reasonable performance on synthetic DRC-Essential and single-objective PPA tasks but only 36.66% success on DRC-Reasoning and 20% on multi-objective PPA tasks.