Veritas: Deterministic Verilog Code Synthesis from LLM-Generated Conjunctive Normal Form
Fuente:
arXiv
Saved in:
| Main Authors: | Roy, Prithwish Basu, Saha, Akashdeep, Alam, Manaar, Knechtel, Johann, Maniatakos, Michail, Sinanoglu, Ozgur, Karri, Ramesh |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RTL-Breaker: Assessing the Security of LLMs against Backdoor Attacks on HDL Code Generation
by: Mankali, Lakshmi Likhitha, et al.
Published: (2024)
by: Mankali, Lakshmi Likhitha, et al.
Published: (2024)
VeriCWEty: Embedding enabled Line-Level CWE Detection in Verilog
by: Roy, Prithwish Basu, et al.
Published: (2026)
by: Roy, Prithwish Basu, et al.
Published: (2026)
LLMs for Secure Hardware Design and Related Problems: Opportunities and Challenges
by: Knechtel, Johann, et al.
Published: (2026)
by: Knechtel, Johann, 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)
VeriContaminated: Assessing LLM-Driven Verilog Coding for Data Contamination
by: Wang, Zeng, et al.
Published: (2025)
by: Wang, Zeng, et al.
Published: (2025)
TrojanGYM: A Detector-in-the-Loop LLM for Adaptive RTL Hardware Trojan Insertion
by: Sreekumar, Saideep, et al.
Published: (2026)
by: Sreekumar, Saideep, et al.
Published: (2026)
From Natural Language to Silicon: The Representation Bottleneck in LLM Hardware Design
by: Fu, Weimin, et al.
Published: (2026)
by: Fu, Weimin, et al.
Published: (2026)
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)
Logic Encryption: This Time for Real
by: Karn, Rupesh Raj, et al.
Published: (2025)
by: Karn, Rupesh Raj, et al.
Published: (2025)
Configuration Over Selection: Hyperparameter Sensitivity Exceeds Model Differences in Open-Source LLMs for RTL Generation
by: Shao, Minghao, et al.
Published: (2026)
by: Shao, Minghao, et al.
Published: (2026)
LLM-Aided Testbench Generation and Bug Detection for Finite-State Machines
by: Bhandari, Jitendra, et al.
Published: (2024)
by: Bhandari, Jitendra, et al.
Published: (2024)
Synthesis-in-the-Loop Evaluation of LLMs for RTL Generation: Quality, Reliability, and Failure Modes
by: Fu, Weimin, et al.
Published: (2026)
by: Fu, Weimin, et al.
Published: (2026)
LLMs and the Future of Chip Design: Unveiling Security Risks and Building Trust
by: Wang, Zeng, et al.
Published: (2024)
by: Wang, Zeng, et al.
Published: (2024)
LockForge: Automating Paper-to-Code for Logic Locking with Multi-Agent Reasoning LLMs
by: Saha, Akashdeep, et al.
Published: (2025)
by: Saha, Akashdeep, et al.
Published: (2025)
Targeted Wearout Attacks in Microprocessor Cores
by: Mashburn, Joshua, et al.
Published: (2025)
by: Mashburn, Joshua, et al.
Published: (2025)
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)
@NTT: Algorithm-Targeted NTT hardware acceleration via Design-Time Constant Optimization
by: Nabeel, Mohammed, et al.
Published: (2026)
by: Nabeel, Mohammed, et al.
Published: (2026)
CoFHEE: A Co-processor for Fully Homomorphic Encryption Execution (Extended Version)
by: Nabeel, Mohammed, et al.
Published: (2022)
by: Nabeel, Mohammed, et al.
Published: (2022)
Large Language Models (LLMs) for Electronic Design Automation (EDA)
by: Xu, Kangwei, et al.
Published: (2025)
by: Xu, Kangwei, 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)
C2HLSC: Can LLMs Bridge the Software-to-Hardware Design Gap?
by: Collini, Luca, et al.
Published: (2024)
by: Collini, Luca, et al.
Published: (2024)
EvoVerilog: Large Langugage Model Assisted Evolution of Verilog Code
by: Guo, Ping, et al.
Published: (2025)
by: Guo, Ping, 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)
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)
TroLLoc: Logic Locking and Layout Hardening for IC Security Closure against Hardware Trojans
by: Wang, Fangzhou, et al.
Published: (2024)
by: Wang, Fangzhou, et al.
Published: (2024)
Exploring the Agentic Frontier of Verilog Code Generation
by: Yubeaton, Patrick, et al.
Published: (2026)
by: Yubeaton, Patrick, et al.
Published: (2026)
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)
C2HLSC: Leveraging Large Language Models to Bridge the Software-to-Hardware Design Gap
by: Collini, Luca, et al.
Published: (2024)
by: Collini, Luca, 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)
Masala-CHAI: A Large-Scale SPICE Netlist Dataset for Analog Circuits by Harnessing AI
by: Bhandari, Jitendra, et al.
Published: (2024)
by: Bhandari, Jitendra, et al.
Published: (2024)
DeepV: A Model-Agnostic Retrieval-Augmented Framework for Verilog Code Generation with a High-Quality Knowledge Base
by: Ibnat, Zahin, et al.
Published: (2025)
by: Ibnat, Zahin, 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)
ReasoningV: Efficient Verilog Code Generation with Adaptive Hybrid Reasoning Model
by: Qin, Haiyan, et al.
Published: (2025)
by: Qin, Haiyan, et al.
Published: (2025)
MetRex: A Benchmark for Verilog Code Metric Reasoning Using LLMs
by: Abdelatty, Manar, et al.
Published: (2024)
by: Abdelatty, Manar, et al.
Published: (2024)
Large Language Model for Verilog Code Generation: Literature Review and the Road Ahead
by: Yang, Guang, et al.
Published: (2025)
by: Yang, Guang, et al.
Published: (2025)
Large Language Model for Verilog Generation with Code-Structure-Guided Reinforcement Learning
by: Wang, Ning, et al.
Published: (2024)
by: Wang, Ning, et al.
Published: (2024)
HaVen: Hallucination-Mitigated LLM for Verilog Code Generation Aligned with HDL Engineers
by: Yang, Yiyao, et al.
Published: (2025)
by: Yang, Yiyao, et al.
Published: (2025)
AutoVCoder: A Systematic Framework for Automated Verilog Code Generation using LLMs
by: Gao, Mingzhe, et al.
Published: (2024)
by: Gao, Mingzhe, et al.
Published: (2024)
Rome was Not Built in a Single Step: Hierarchical Prompting for LLM-based Chip Design
by: Nakkab, Andre, et al.
Published: (2024)
by: Nakkab, Andre, et al.
Published: (2024)
LintLLM: An Open-Source Verilog Linting Framework Based on Large Language Models
by: Fang, Zhigang, et al.
Published: (2025)
by: Fang, Zhigang, et al.
Published: (2025)
Similar Items
-
RTL-Breaker: Assessing the Security of LLMs against Backdoor Attacks on HDL Code Generation
by: Mankali, Lakshmi Likhitha, et al.
Published: (2024) -
VeriCWEty: Embedding enabled Line-Level CWE Detection in Verilog
by: Roy, Prithwish Basu, et al.
Published: (2026) -
LLMs for Secure Hardware Design and Related Problems: Opportunities and Challenges
by: Knechtel, Johann, 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) -
VeriContaminated: Assessing LLM-Driven Verilog Coding for Data Contamination
by: Wang, Zeng, et al.
Published: (2025)