WaveletECO: A Closed-Loop Physical ECO Platform and a Specialized Local Language Model
Engineering change order (ECO) is an important step in repairing timing and electrical violations during the late stages of chip design. Existing Agentic EDA methods primarily focus on tool invocation, with less attention to model decision quality and targeted training. A central challenge in ECO is multi-round decision-making: the model must use the results of each round to determine the next repair action. We propose WaveletECO, which integrates a closed-loop execution platform with large language models to enable agents to execute ECO decisions effectively. We also train a local 9B model through supervised fine-tuning and CPO-SimPO using execution demonstrations and decision-preference...
| Authors | Guoxiang Xu, Guozhen Ji, Zijian Luo et al. |
|---|---|
| Primary category | cs.AR |
| Published | 20 September 2026 |
| Last updated at source | 20 September 2026 |
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