Prompt. Verify. Repeat. LLMs in the Hardware Verification Cycle

In this paper, we review the use of Large Language Models (LLMs) in the context of hardware verification, using the concept of a semantic layer to organize their role. We place LLMs within a centaur-style workflow and describe their operation as an iterative loop, Prompt. Verify. Repeat. In this loop, an LLM is first prompted to generate or modify a verification artifact. The artifact is then evaluated using standard EDA tools and human review. Based on the results, the prompt or constraints are adjusted, and the process is repeated until the verification objectives are met. Within this structure, LLMs function alongside existing tools to support the verification process. Furthermore, we present a simple example of illustrating this concept in deductive reasoning in hardware verification as an application.

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Publication Details

Published
2025-08-04
DOI
https://doi.org/10.1109/coins65080.2025.11125767
Citations
2
Primary Topic
Embedded Systems Design Techniques
Type
article
Field-Weighted Citation Impact
4.54
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article

Prompt. Verify. Repeat. LLMs in the Hardware Verification Cycle

Chandan Kumar Jha, Mohamed Nadeem, Khushboo Qayyum, Rolf Drechsler et al.
2 citations
Embedded Systems Design Techniques
4.54
article

Prompt. Verify. Repeat. LLMs in the Hardware Verification Cycle

Chandan Kumar Jha, Mohamed Nadeem, Khushboo Qayyum, Rolf Drechsler, Muhammad Hassan
article en
2 citations

Abstract

In this paper, we review the use of Large Language Models (LLMs) in the context of hardware verification, using the concept of a semantic layer to organize their role. We place LLMs within a centaur-style workflow and describe their operation as an iterative loop, Prompt. Verify. Repeat. In this loop, an LLM is first prompted to generate or modify a verification artifact. The artifact is then evaluated using standard EDA tools and human review. Based on the results, the prompt or constraints are adjusted, and the process is repeated until the verification objectives are met. Within this structure, LLMs function alongside existing tools to support the verification process. Furthermore, we present a simple example of illustrating this concept in deductive reasoning in hardware verification as an application.

University of Bremen (DE)
Openalex Percentile: Top 5%
Embedded Systems Design Techniques
4.54
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Prompt. Verify. Repeat. LLMs in the Hardware Verification Cycle — Chandan Kumar Jha, Mohamed Nadeem, et al. · (2025) | TGRS Research Map | TGRS