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- research-articleSeptember 2024
Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization
- Prashanth Vijayaraghavan,
- Apoorva Nitsure,
- Charles Mackin,
- Luyao Shi,
- Stefano Ambrogio,
- Arvind Haran,
- Viresh Paruthi,
- Ali Elzein,
- Dan Coops,
- David Beymer,
- Tyler Baldwin,
- Ehsan Degan
MLCAD '24: Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CADArticle No.: 28, Pages 1–10https://doi.org/10.1145/3670474.3685966Large Language Models (LLMs) have become widely used across diverse NLP tasks and domains, demonstrating their adaptability and effectiveness. In the realm of Electronic Design Automation (EDA), LLMs show promise for tasks like Register-Transfer Level (...
