7 citations · 9 across the 9 of their papers we have counts for
3 papers · 1 filter
Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization
Prashanth Vijayaraghavan, Apoorva Nitsure, Charles Mackin +9
Large Language Models (LLMs) have become widely used across diverse NLP tasks and domains, demonstrating their adaptability and effectiveness. In the realm of Electronic Design Aut…
Improving LLM-Powered EDA Assistants with RAFT
Luyao Shi, Michael Kazda, Charles Schmitter +1
Electronic design engineers often struggle to efficiently access relevant information for tasks like design verification and technology development. While large language models (LL…
AUTOCIRCUIT-RL: Reinforcement Learning-Driven LLM for Automated Circuit Topology Generation
Prashanth Vijayaraghavan, Luyao Shi, Ehsan Degan +2
Analog circuit topology synthesis is integral to Electronic Design Automation (EDA), enabling the automated creation of circuit structures tailored to specific design requirements.…