AMSbench: A Comprehensive Benchmark for Evaluating MLLM Capabilities in AMS Circuits
Published in arXiv, 2025
AMSbench provides a comprehensive benchmark for evaluating multimodal large language models on AMS circuit perception, analysis, and design tasks across diverse difficulty levels.
Recommended citation: Shi, Y., Zhang, Z., Wang, H., Tao, Z., Li, Z., Chen, B., Wang, Y., Yu, Z., Lin, T.-J., & He, L. (2025). AMSbench: A Comprehensive Benchmark for Evaluating MLLM Capabilities in AMS Circuits. arXiv, 2505.24138. https://arxiv.org/abs/2505.24138