most citedA Survey of Research in Large Language Models for Electronic Design Automation

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AR2026

DiffPower: GPU-Accelerated Differentiable Switching Power Analysis and Optimization

Isaac Jacobson, Zheng Zhao, Rashmi Mehrotra +3

Accurate and scalable switching power analysis remains a critical bottleneck in modern physical design, often forcing a trade-off between computational speed and modeling fidelity.…

cs.LG2026

EXPLORE: Exploration with Guided Search for Analog Topology Generation using Language Models

Guanglei Zhou, Chen-Chia Chang, Yikang Shen +5

Automating analog circuit topology design is essential to reduce the extensive manual effort required to meet increasingly diverse and customized application demands. Recent advanc…

cs.LG2025

CROP: Circuit Retrieval and Optimization with Parameter Guidance using LLMs

Jingyu Pan, Isaac Jacobson, Zheng Zhao +5

Modern very large-scale integration (VLSI) design requires the implementation of integrated circuits using electronic design automation (EDA) tools. Due to the complexity of EDA al…

cs.CL2025

SafeTy Reasoning Elicitation Alignment for Multi-Turn Dialogues

Martin Kuo, Jianyi Zhang, Aolin Ding +12

Malicious attackers can exploit large language models (LLMs) by engaging them in multi-turn dialogues to achieve harmful objectives, posing significant safety risks to society. To…

cs.LG2025★ 3 cited

A Survey of Research in Large Language Models for Electronic Design Automation

Jingyu Pan, Guanglei Zhou, Chen-Chia Chang +3

Within the rapidly evolving domain of Electronic Design Automation (EDA), Large Language Models (LLMs) have emerged as transformative technologies, offering unprecedented capabilit…