Exploring the Agentic Frontier of Verilog Code Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Yubeaton, Patrick, Garg, Siddharth, Hegde, Chinmay |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
VeriInteresting: An Empirical Study of Model Prompt Interactions in Verilog Code Generation
by: Collini, Luca, et al.
Published: (2026)
by: Collini, Luca, et al.
Published: (2026)
Huff-LLM: End-to-End Lossless Compression for Efficient LLM Inference
by: Yubeaton, Patrick, et al.
Published: (2025)
by: Yubeaton, Patrick, et al.
Published: (2025)
LLM-VeriPPA: Power, Performance, and Area Optimization aware Verilog Code Generation with Large Language Models
by: Thorat, Kiran, et al.
Published: (2025)
by: Thorat, Kiran, et al.
Published: (2025)
QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation
by: Zhang, Yang, et al.
Published: (2025)
by: Zhang, Yang, et al.
Published: (2025)
RealBench: Benchmarking Verilog Generation Models with Real-World IP Designs
by: Jin, Pengwei, et al.
Published: (2025)
by: Jin, Pengwei, et al.
Published: (2025)
QiMeng-CodeV-R1: Reasoning-Enhanced Verilog Generation
by: Zhu, Yaoyu, et al.
Published: (2025)
by: Zhu, Yaoyu, et al.
Published: (2025)
MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generation
by: Zhang, Yongan, et al.
Published: (2024)
by: Zhang, Yongan, et al.
Published: (2024)
VeriContaminated: Assessing LLM-Driven Verilog Coding for Data Contamination
by: Wang, Zeng, et al.
Published: (2025)
by: Wang, Zeng, et al.
Published: (2025)
VeriMind: Agentic LLM for Automated Verilog Generation with a Novel Evaluation Metric
by: Nadimi, Bardia, et al.
Published: (2025)
by: Nadimi, Bardia, et al.
Published: (2025)
Comprehensive Verilog Design Problems: A Next-Generation Benchmark Dataset for Evaluating Large Language Models and Agents on RTL Design and Verification
by: Pinckney, Nathaniel, et al.
Published: (2025)
by: Pinckney, Nathaniel, et al.
Published: (2025)
VerilogMonkey: Exploring Parallel Scaling for Automated Verilog Code Generation with LLMs
by: Niu, Juxin, et al.
Published: (2025)
by: Niu, Juxin, et al.
Published: (2025)
Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS
by: DeLorenzo, Matthew, et al.
Published: (2024)
by: DeLorenzo, Matthew, et al.
Published: (2024)
TimingLLM: A Two-Stage Retrieval-Augmented Framework for Pre-Synthesis Timing Prediction from Verilog
by: Abdollahi, Armin, et al.
Published: (2026)
by: Abdollahi, Armin, et al.
Published: (2026)
VeriLeaky: Navigating IP Protection vs Utility in Fine-Tuning for LLM-Driven Verilog Coding
by: Wang, Zeng, et al.
Published: (2025)
by: Wang, Zeng, et al.
Published: (2025)
DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model
by: Liu, Yi, et al.
Published: (2025)
by: Liu, Yi, et al.
Published: (2025)
hdl2v: A Code Translation Dataset for Enhanced LLM Verilog Generation
by: Hong, Charles, et al.
Published: (2025)
by: Hong, Charles, et al.
Published: (2025)
HiVeGen -- Hierarchical LLM-based Verilog Generation for Scalable Chip Design
by: Tang, Jinwei, et al.
Published: (2024)
by: Tang, Jinwei, et al.
Published: (2024)
Speculative Decoding for Verilog: Speed and Quality, All in One
by: Xu, Changran, et al.
Published: (2025)
by: Xu, Changran, et al.
Published: (2025)
VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code
by: Hemadri, Raghu Vamshi, et al.
Published: (2025)
by: Hemadri, Raghu Vamshi, et al.
Published: (2025)
VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation
by: Calzada, Paul E., et al.
Published: (2025)
by: Calzada, Paul E., et al.
Published: (2025)
VFlow: Discovering Optimal Agentic Workflows for Verilog Generation
by: Wei, Yangbo, et al.
Published: (2025)
by: Wei, Yangbo, et al.
Published: (2025)
MAGE: A Multi-Agent Engine for Automated RTL Code Generation
by: Zhao, Yujie, et al.
Published: (2024)
by: Zhao, Yujie, et al.
Published: (2024)
GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identification
by: Pham, Phuoc, et al.
Published: (2025)
by: Pham, Phuoc, et al.
Published: (2025)
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization
by: Chowdhury, Animesh Basak, et al.
Published: (2024)
by: Chowdhury, Animesh Basak, et al.
Published: (2024)
When Forgetting Builds Reliability: LLM Unlearning for Reliable Hardware Code Generation
by: Liang, Yiwen, et al.
Published: (2025)
by: Liang, Yiwen, et al.
Published: (2025)
VerilogCL: A Contrastive Learning Framework for Robust LLM-Based Verilog Generation
by: Tan, Yan, et al.
Published: (2026)
by: Tan, Yan, et al.
Published: (2026)
MPM-LLM4DSE: Reaching the Pareto Frontier in HLS with Multimodal Learning and LLM-Driven Exploration
by: Xu, Lei, et al.
Published: (2026)
by: Xu, Lei, et al.
Published: (2026)
VeriReason: Reinforcement Learning with Testbench Feedback for Reasoning-Enhanced Verilog Generation
by: Wang, Yiting, et al.
Published: (2025)
by: Wang, Yiting, et al.
Published: (2025)
Veritas: Deterministic Verilog Code Synthesis from LLM-Generated Conjunctive Normal Form
by: Roy, Prithwish Basu, et al.
Published: (2025)
by: Roy, Prithwish Basu, et al.
Published: (2025)
Automatically Improving LLM-based Verilog Generation using EDA Tool Feedback
by: Blocklove, Jason, et al.
Published: (2024)
by: Blocklove, Jason, et al.
Published: (2024)
ACE-RTL: When Agentic Context Evolution Meets RTL-Specialized LLMs
by: Deng, Chenhui, et al.
Published: (2026)
by: Deng, Chenhui, et al.
Published: (2026)
EvoVerilog: Large Langugage Model Assisted Evolution of Verilog Code
by: Guo, Ping, et al.
Published: (2025)
by: Guo, Ping, et al.
Published: (2025)
Python-based DSL for generating Verilog model of Synchronous Digital Circuits
by: Datar, Mandar, et al.
Published: (2024)
by: Datar, Mandar, et al.
Published: (2024)
Exploring Code Language Models for Automated HLS-based Hardware Generation: Benchmark, Infrastructure and Analysis
by: Gai, Jiahao, et al.
Published: (2025)
by: Gai, Jiahao, et al.
Published: (2025)
QiMeng-CRUX: Narrowing the Gap Between Natural Language and Verilog via Core Refined Understanding eXpression for Circuit Design
by: Huang, Lei, et al.
Published: (2025)
by: Huang, Lei, et al.
Published: (2025)
AutoVeriFix: Automatically Correcting Errors and Enhancing Functional Correctness in LLM-Generated Verilog Code
by: Tan, Yan, et al.
Published: (2025)
by: Tan, Yan, et al.
Published: (2025)
Exploring FPGA designs for MX and beyond
by: Samson, Ebby, et al.
Published: (2024)
by: Samson, Ebby, et al.
Published: (2024)
PyraNet: A Multi-Layered Hierarchical Dataset for Verilog
by: Nadimi, Bardia, et al.
Published: (2024)
by: Nadimi, Bardia, et al.
Published: (2024)
HDLFORGE: A Two-Stage Multi-Agent Framework for Efficient Verilog Code Generation with Adaptive Model Escalation
by: Abdollahi, Armin, et al.
Published: (2026)
by: Abdollahi, Armin, et al.
Published: (2026)
PQA: Exploring the Potential of Product Quantization in DNN Hardware Acceleration
by: AbouElhamayed, Ahmed F., et al.
Published: (2023)
by: AbouElhamayed, Ahmed F., et al.
Published: (2023)
Similar Items
-
VeriInteresting: An Empirical Study of Model Prompt Interactions in Verilog Code Generation
by: Collini, Luca, et al.
Published: (2026) -
Huff-LLM: End-to-End Lossless Compression for Efficient LLM Inference
by: Yubeaton, Patrick, et al.
Published: (2025) -
LLM-VeriPPA: Power, Performance, and Area Optimization aware Verilog Code Generation with Large Language Models
by: Thorat, Kiran, et al.
Published: (2025) -
QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation
by: Zhang, Yang, et al.
Published: (2025) -
RealBench: Benchmarking Verilog Generation Models with Real-World IP Designs
by: Jin, Pengwei, et al.
Published: (2025)