SKILL: Self-correcting Knowledge-guided Iterative Large Language Model Agent for Logic Optimization
Researchers have developed SKILL, a system that optimizes logic synthesis using a combination of large language models and reinforcement learning. SKILL consists of three specialized LLMs that work together with an RL agent to improve the efficiency and effectiveness of logic synthesis. The system is tested on various benchmarks, showing significant improvements over traditional expert-designed flows.
Researchers have developed SKILL, a system that optimizes logic synthesis using a combination of large language models and reinforcement learning. SKILL consists of three specialized LLMs that work together with an RL agent to improve the efficiency and effectiveness of logic synthesis. The system is tested on various benchmarks, showing significant improvements over traditional expert-designed flows.
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Why it matters: This matters because it could lead to more efficient and effective design of complex electronic systems, which are critical in many industries including aerospace and automotive.
Source: https://arxiv.org/abs/2608.14579
This article was originally published at: https://arxiv.org/abs/2608.14579