activity
20222025
most citedVeriMind: Agentic LLM for Automated Verilog Generation with a Novel Evaluation Metric

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2025

TB or Not TB: Coverage-Driven Direct Preference Optimization for Verilog Stimulus Generation

Bardia Nadimi, Khashayar Filom, Deming Chen +1

With the rapid advancement of Large Language Models (LLMs), there is growing interest in applying them to hardware design and verification. Among these stages, design verification…

cs.AR20252 cited

VeriMind: Agentic LLM for Automated Verilog Generation with a Novel Evaluation Metric

Bardia Nadimi, Ghali Omar Boutaib, Hao Zheng

Designing Verilog modules requires meticulous attention to correctness, efficiency, and adherence to design specifications. However, manually writing Verilog code remains a complex…

cs.AR2024

PyraNet: A Multi-Layered Hierarchical Dataset for Verilog

Bardia Nadimi, Ghali Omar Boutaib, Hao Zheng

Recently, there has been a growing interest in leveraging Large Language Models for Verilog code generation. However, the current quality of the generated Verilog code remains subo…

cs.AR2024

Forward and Reverse Converters for the Moduli-Set

Ghassem Jaberipur, Bardia Nadimi, R. Kazemi +1

Modulo- adders have recently been implemented using the regular parallel prefix (RPP) architecture, matching the speed of the widely used modulo-$(2^q \pm 1)…

cs.AI2022

Mining SoC Message Flows with Attention Model

Md Rubel Ahmed, Bardia Nadimi, Hao Zheng

High-quality system-level message flow specifications are necessary for comprehensive validation of system-on-chip (SoC) designs. However, manual development and maintenance of suc…