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Benchmark For AI-Aided Chip Design That Evaluates LLMs Across 3 Critical Tasks (UCSD, Columbia)
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Benchmark For AI-Aided Chip Design That Evaluates LLMs Across 3 Critical Tasks (UCSD, Columbia)
Researchers at UCSD and Columbia University published “ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design.” Abstract “While Large Language Models (LLMs) show significant potential in hardware engineering, current benchmarks suffer from saturation and limited task diversity, failing to reflect LLMs’ performance in real industrial workflows. To address this gap, we propose a comprehensive benchmark for AI-aided…
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