mlsanityData to 7 Oct 2026

Enabling New HDLs with Agents

arXiv 2501.00642 ↗First posted 31 Dec 2024cs.AR cs.AI cs.LGcited by 0

On the map: LLM agents and tool use → Software engineering coding agents

Abstract (arXiv)

Large Language Models (LLMs) based agents are transforming the programming language landscape by facilitating learning for beginners, enabling code generation, and optimizing documentation workflows. Hardware Description Languages (HDLs), with their smaller user community, stand to benefit significantly from the application of LLMs as tools for learning new HDLs. This paper investigates the challenges and solutions of enabling LLMs for HDLs, particularly for HDLs that LLMs have not been previously trained on. This work introduces HDLAgent, an AI agent optimized for LLMs with limited knowledge of various HDLs. It significantly enhances off-the-shelf LLMs.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Software engineering coding agents, one of 16 directions in LLM agents and tool use. Builds on 6 of its 49 references that are in the map. First posted on arXiv 31 Dec 2024.

Builds on

6 of 49 references.

References · 6

  1. 2023ExpeL: LLM Agents Are Experiential Learnerscited by 814
  2. 2023VerilogEval: Evaluating Large Language Models for Verilog Code Generationcited by 246
  3. 2023LEVER: Learning to Verify Language-to-Code Generation with Executioncited by 228
  4. 2022Few-shot training LLMs for project-specific code-summarizationcited by 128
  5. 2022Automated Repair of Programs from Large Language Modelscited by 71
  6. 2023Conversational Automated Program Repaircited by 41

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  1. 2024Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs
  2. 2025Exploring Code Language Models for Automated HLS-based Hardware Generation: Benchmark, Infrastructure and Analysis
  3. 2025Workflows vs Agents for Code Translation
  4. 2024Large Language Model-Based Agents for Software Engineering: A Survey
  5. 2024Large Language Model Evaluation Via Multi AI Agents: Preliminary results
  6. 2023The Rise and Potential of Large Language Model Based Agents: A Survey
  7. 2025VeriMoA: A Mixture-of-Agents Framework for Spec-to-HDL Generation
  8. 2024From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future