From the 2 of 5 linked papers with an AI index.
5 papers
PDAGENT-BENCH: Characterizing, Grounding, and Architecting LLM/VLM Agents for VLSI Physical Design
Qiufeng Li, Rongqian Chen, Quan Cheng +6
The paper presents PDAGENT-BENCH, a benchmark suite and workflow framework for evaluating large language model and vision‑language model agents on VLSI physical design tasks, cover…
Interpretable and Verifiable Hardware Generation with LLM-Driven Stepwise Refinement
You Li, Samuel Mandell, David Z. Pan
The paper presents a framework that uses large language models together with formal transformation rules to iteratively refine a design specification into correct register-transfer…
HeaRT: A Hierarchical Circuit Reasoning Tree-Based Agentic Framework for AMS Design Optimization
Souradip Poddar, Chia-Tung Ho, Ziming Wei +3
Conventional AI-driven AMS design automation algorithms remain constrained by their reliance on high-quality datasets to capture underlying circuit behavior, coupled with poor tran…
AI+HW 2035: Shaping the Next Decade
Deming Chen, Jason Cong, Azalia Mirhoseini +27
Artificial intelligence (AI) and hardware (HW) are advancing at unprecedented rates, yet their trajectories have become inseparably intertwined. The global research community lacks…
TopoSizing: An LLM-aided Framework of Topology-based Understanding and Sizing for AMS Circuits
Ziming Wei, Zichen Kong, Yuan Wang +2
Analog and mixed-signal circuit design remains challenging due to the shortage of high-quality data and the difficulty of embedding domain knowledge into automated flows. Tradition…