Cover Image

ComplexVCoder: An LLM-Driven Framework for Systematic Generation of Complex Verilog Code

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zuo, Jian, Liu, Junzhe, Wang, Xianyong, Liu, Yicheng, Goli, Navya, Xu, Tong, Zhang, Hao, Tida, Umamaheswara Rao, Jia, Zhenge, Zhao, Mengying
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AutoVCoder: A Systematic Framework for Automated Verilog Code Generation using LLMs
by: Gao, Mingzhe, et al.
Published: (2024)

ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code
by: Feng, Jia, et al.
Published: (2024)

VerilogReader: LLM-Aided Hardware Test Generation
by: Ma, Ruiyang, et al.
Published: (2024)

Enhancing LLM-Based Code Generation with Complexity Metrics: A Feedback-Driven Approach
by: Sepidband, Melika, et al.
Published: (2025)

Systematically Thinking about the Complexity of Code Structuring Exercises at Introductory Level
by: Haldeman, Georgiana, et al.
Published: (2025)

CQ-CiM: Hardware-Aware Embedding Shaping for Robust CiM-Based Retrieval
by: Li, Xinzhao, et al.
Published: (2026)

Semantic Consensus Decoding: Backdoor Defense for Verilog Code Generation
by: Yang, Guang, et al.
Published: (2026)

TraceCoder: A Trace-Driven Multi-Agent Framework for Automated Debugging of LLM-Generated Code
by: Huang, Jiangping, et al.
Published: (2026)

Beyond Code Similarity: Benchmarking the Plausibility, Efficiency, and Complexity of LLM-Generated Smart Contracts
by: Salzano, Francesco, et al.
Published: (2025)

From Mirage to Grounding: Towards Reliable Multimodal Circuit-to-Verilog Code Generation
by: Yang, Guang, et al.
Published: (2026)

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation
by: Pan, Ruwei, et al.
Published: (2025)

SolSearch: An LLM-Driven Framework for Efficient SAT-Solving Code Generation
by: Sheng, Junjie, et al.
Published: (2025)

CodeComplex: Dataset for Worst-Case Time Complexity Prediction
by: Baik, Seung-Yeop, et al.
Published: (2024)

The Cream Rises to the Top: Efficient Reranking Method for Verilog Code Generation
by: Yang, Guang, et al.
Published: (2025)

Bamboo: LLM-Driven Discovery of API-Permission Mappings in the Android Framework
by: Hu, Han, et al.
Published: (2025)

ARSP: Automated Repair of Verilog Designs via Semantic Partitioning
by: Yao, Bingkun, et al.
Published: (2025)

SGCR: A Specification-Grounded Framework for Trustworthy LLM Code Review
by: Wang, Kai, et al.
Published: (2025)

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length
by: Cheng, Junhang, et al.
Published: (2025)

CodeCircuit: Toward Inferring LLM-Generated Code Correctness via Attribution Graphs
by: He, Yicheng, et al.
Published: (2026)

Generating Complex Code Analyzers from Natural Language Questions
by: Nazari, Amirmohammad, et al.
Published: (2026)

Rethinking Code Complexity Through the Lens of Large Language Models
by: Xie, Chen, et al.
Published: (2026)

Retrieval-Augmented Code Generation: A Survey with Focus on Repository-Level Approaches
by: Tao, Yicheng, et al.
Published: (2025)

Tree-of-Code: A Tree-Structured Exploring Framework for End-to-End Code Generation and Execution in Complex Task Handling
by: Ni, Ziyi, et al.
Published: (2024)

Modeling in Jjodel: Bridging Complexity and Usability in Model-Driven Engineering
by: Bucchiarone, Antonio, et al.
Published: (2025)

AgentFM: Role-Aware Failure Management for Distributed Databases with LLM-Driven Multi-Agents
by: Zhang, Lingzhe, et al.
Published: (2025)

EvoDev: An Iterative Feature-Driven Framework for End-to-End Software Development with LLM-based Agents
by: Liu, Junwei, et al.
Published: (2025)

Write Your Own CodeChecker: An Automated Test-Driven Checker Development Approach with LLMs
by: Liu, Jun, et al.
Published: (2024)

Evaluating and Achieving Controllable Code Completion in Code LLM
by: Zhang, Jiajun, et al.
Published: (2026)

A Multi-Expert Large Language Model Architecture for Verilog Code Generation
by: Nadimi, Bardia, et al.
Published: (2024)

Compressing Code Context for LLM-based Issue Resolution
by: Jia, Haoxiang, et al.
Published: (2026)

GraphCodeAgent: Dual Graph-Guided LLM Agent for Retrieval-Augmented Repo-Level Code Generation
by: Li, Jia, et al.
Published: (2025)

Selection of Prompt Engineering Techniques for Code Generation through Predicting Code Complexity
by: Wang, Chung-Yu, et al.
Published: (2024)

Narrowing the Complexity Gap in the Evaluation of Large Language Models
by: Chen, Yang, et al.
Published: (2026)

Simplicity by Obfuscation: Evaluating LLM-Driven Code Transformation with Semantic Elasticity
by: De Tomasi, Lorenzo, et al.
Published: (2025)

Code-Survey: An LLM-Driven Methodology for Analyzing Large-Scale Codebases
by: Zheng, Yusheng, et al.
Published: (2024)

ECO: An LLM-Driven Efficient Code Optimizer for Warehouse Scale Computers
by: Lin, Hannah, et al.
Published: (2025)

Code Digital Twin: Empowering LLMs with Tacit Knowledge for Complex Software Development
by: Peng, Xin, et al.
Published: (2025)

Early Career Developers' Perceptions of Code Understandability. A Study of Complexity Metrics
by: Esposito, Matteo, et al.
Published: (2023)

AOCI: Symbolic-Semantic Indexing for Practical Repository-Scale Code Understanding with LLMs
by: Liu, Jinshi, et al.
Published: (2026)

Automatically Benchmarking LLM Code Agents through Agent-Driven Annotation and Evaluation
by: Fu, Lingyue, et al.
Published: (2025)