3 papers
cs.AR2026
Dataset Construction for Training LLM to Learn Analog Circuit Knowledge
Zihao Chen, Ji Zhuang, Jinyi Shen +11
This paper constructs a textual dataset for training large language models (LLMs) to learn analog circuit knowledge and customizes LLM training techniques. For dataset construction…
cs.AI2026
LLM-Assisted Op-Amp Behavioral-Level Design via Agentic Human-Mimicking Reasoning
Zihao Chen, Ziyi Sun, Jiayin Wang +6
This paper proposes White-Op, an operational amplifier (op-amp) behavioral-level parameter design framework assisted by the human-mimicking reasoning of large language model agents…
cs.LG2025
The Power of Graph Signal Processing for Chip Placement Acceleration
Yiting Liu, Hai Zhou, Jia Wang +3
Placement is a critical task with high computation complexity in VLSI physical design. Modern analytical placers formulate the placement objective as a nonlinear optimization task,…