Exploring LLM-based Verilog Code Generation with Data-Efficient Fine-Tuning and Testbench Automation
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Mu-Chi, Huang, Po-Hsuan, Kao, Yu-Hung, Liu, Yen-Fu, Hung, Yu-Kai, Liang, Cheng, Ho, Shao-Chun, Tu, Chia-Heng, Hung, Shih-Hao |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SiliconMind-V1: Multi-Agent Distillation and Debug-Reasoning Workflows for Verilog Code Generation
by: Chen, Mu-Chi, et al.
Published: (2026)
by: Chen, Mu-Chi, et al.
Published: (2026)
Towards Building Private LLMs: Exploring Multi-Node Expert Parallelism on Apple Silicon for Mixture-of-Experts Large Language Model
by: Chen, Mu-Chi, et al.
Published: (2025)
by: Chen, Mu-Chi, et al.
Published: (2025)
Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs
by: Hung, Wei, et al.
Published: (2025)
by: Hung, Wei, et al.
Published: (2025)
AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024)
by: Yousaf, Iqra
Published: (2024)
KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning
by: Mi, Zhendong, et al.
Published: (2025)
by: Mi, Zhendong, et al.
Published: (2025)
Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents
by: Tang, Wenjie, et al.
Published: (2026)
by: Tang, Wenjie, et al.
Published: (2026)
Photonic AI: A Hybrid Diffractive Holographic Neural System for Passive Optical Real-Time Image Classification
by: Hiremath, Prakul Sunil
Published: (2026)
by: Hiremath, Prakul Sunil
Published: (2026)
Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators
by: Agia, Christopher, et al.
Published: (2024)
by: Agia, Christopher, et al.
Published: (2024)
rmlnomogram: An R package to construct an explainable nomogram for any machine learning algorithms
by: Sufriyana, Herdiantri, et al.
Published: (2025)
by: Sufriyana, Herdiantri, et al.
Published: (2025)
ChipCraftBrain: Validation-First RTL Generation via Multi-Agent Orchestration
by: Eryilmaz, Cagri
Published: (2026)
by: Eryilmaz, Cagri
Published: (2026)
Synergy over Discrepancy: A Partition-Based Approach to Multi-Domain LLM Fine-Tuning
by: Ye, Hua, et al.
Published: (2025)
by: Ye, Hua, et al.
Published: (2025)
Automated Circuit Interpretation via Probe Prompting
by: Birardi, Giuseppe
Published: (2025)
by: Birardi, Giuseppe
Published: (2025)
Membership Inference Attacks against Large Audio Language Models
by: Dong, Jia-Kai, et al.
Published: (2026)
by: Dong, Jia-Kai, et al.
Published: (2026)
Why LoRA Resists Label Noise: A Theoretical Framework for Noise-Robust Parameter-Efficient Fine-Tuning
by: Steele, Brady
Published: (2026)
by: Steele, Brady
Published: (2026)
Is Finer Better? The Limits of Microscaling Formats in Large Language Models
by: Fasoli, Andrea, et al.
Published: (2026)
by: Fasoli, Andrea, et al.
Published: (2026)
FedAttr: Towards Privacy-preserving Client-Level Attribution in Federated LLM Fine-tuning
by: Zhang, Su, et al.
Published: (2026)
by: Zhang, Su, et al.
Published: (2026)
EM-Aware Physical Synthesis: Neural Inductor Modeling and Intelligent Placement & Routing for RF Circuits
by: Huang, Yilun, et al.
Published: (2026)
by: Huang, Yilun, et al.
Published: (2026)
GainSight: A Unified Framework for Data Lifetime Profiling and Heterogeneous Memory Composition
by: Li, Peijing, et al.
Published: (2025)
by: Li, Peijing, et al.
Published: (2025)
Machine Learning for Energy-Performance-aware Scheduling
by: Hu, Zheyuan, et al.
Published: (2026)
by: Hu, Zheyuan, et al.
Published: (2026)
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts
by: Hashemi, Helia, et al.
Published: (2024)
by: Hashemi, Helia, et al.
Published: (2024)
Deep Learning-Based Early-Stage IR-Drop Estimation via CNN Surrogate Modeling
by: Bhadana, Ritesh
Published: (2026)
by: Bhadana, Ritesh
Published: (2026)
Fusing Rewards and Preferences in Reinforcement Learning
by: Khorasani, Sadegh, et al.
Published: (2025)
by: Khorasani, Sadegh, et al.
Published: (2025)
Sim-to-reality adaptation for Deep Reinforcement Learning applied to an underwater docking application
by: Chaarani, Alaaeddine, et al.
Published: (2026)
by: Chaarani, Alaaeddine, et al.
Published: (2026)
Cost-Aware Model Selection for Text Classification: Multi-Objective Trade-offs Between Fine-Tuned Encoders and LLM Prompting in Production
by: Gonzalez, Alberto Andres Valdes
Published: (2026)
by: Gonzalez, Alberto Andres Valdes
Published: (2026)
Automated CAD Modeling Sequence Generation from Text Descriptions via Transformer-Based Large Language Models
by: Liao, Jianxing, et al.
Published: (2025)
by: Liao, Jianxing, et al.
Published: (2025)
Leveraging Large Language Models to Extract and Translate Medical Information in Doctors' Notes for Health Records and Diagnostic Billing Codes
by: Hartnett, Peter, et al.
Published: (2026)
by: Hartnett, Peter, et al.
Published: (2026)
Automated Bug Triaging using Instruction-Tuned Large Language Models
by: Kiashemshaki, Kiana, et al.
Published: (2025)
by: Kiashemshaki, Kiana, et al.
Published: (2025)
Survey Transfer Learning: Recycling Data with Silicon Responses
by: Amini, Ali
Published: (2025)
by: Amini, Ali
Published: (2025)
Perfecting Aircraft Maneuvers with Reinforcement Learning
by: Cilan, Atahan, et al.
Published: (2026)
by: Cilan, Atahan, et al.
Published: (2026)
NotSoTiny: A Large, Living Benchmark for RTL Code Generation
by: Ghorab, Razine Moundir, et al.
Published: (2025)
by: Ghorab, Razine Moundir, et al.
Published: (2025)
SUN Team's Contribution to ABAW 2024 Competition: Audio-visual Valence-Arousal Estimation and Expression Recognition
by: Dresvyanskiy, Denis, et al.
Published: (2024)
by: Dresvyanskiy, Denis, et al.
Published: (2024)
Affordance-Aware Interactive Decision-Making and Execution for Ambiguous Instructions
by: Xu, Hengxuan, et al.
Published: (2026)
by: Xu, Hengxuan, et al.
Published: (2026)
Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving
by: Peng, Zhenghao, et al.
Published: (2024)
by: Peng, Zhenghao, et al.
Published: (2024)
Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles
by: Howard, Rhys, et al.
Published: (2025)
by: Howard, Rhys, et al.
Published: (2025)
Learning to Select Goals in Automated Planning with Deep-Q Learning
by: Núñez-Molina, Carlos, et al.
Published: (2024)
by: Núñez-Molina, Carlos, et al.
Published: (2024)
Learning To Help: Training Models to Assist Legacy Devices
by: Wu, Yu, et al.
Published: (2024)
by: Wu, Yu, et al.
Published: (2024)
Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs
by: Pareja, Aldo, et al.
Published: (2024)
by: Pareja, Aldo, et al.
Published: (2024)
Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight
by: Romero, Angel, et al.
Published: (2025)
by: Romero, Angel, et al.
Published: (2025)
WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness
by: Gasparino, Mateus Valverde, et al.
Published: (2024)
by: Gasparino, Mateus Valverde, et al.
Published: (2024)
Understanding Boolean Function Learnability on Deep Neural Networks: PAC Learning Meets Neurosymbolic Models
by: Nicolau, Marcio, et al.
Published: (2020)
by: Nicolau, Marcio, et al.
Published: (2020)
Similar Items
-
SiliconMind-V1: Multi-Agent Distillation and Debug-Reasoning Workflows for Verilog Code Generation
by: Chen, Mu-Chi, et al.
Published: (2026) -
Towards Building Private LLMs: Exploring Multi-Node Expert Parallelism on Apple Silicon for Mixture-of-Experts Large Language Model
by: Chen, Mu-Chi, et al.
Published: (2025) -
Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs
by: Hung, Wei, et al.
Published: (2025) -
AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024) -
KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning
by: Mi, Zhendong, et al.
Published: (2025)