SiliconMind-V1: Multi-Agent Distillation and Debug-Reasoning Workflows for Verilog Code Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Mu-Chi, Kao, Yu-Hung, Huang, Po-Hsuan, Ho, Shao-Chun, Tsou, Hsiang-Yu, Wu, I-Ting, Huang, En-Ming, Hung, Yu-Kai, Hsin, Wei-Po, Liang, Cheng, Tu, Chia-Heng, Hung, Shih-Hao, Kung, H. T. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Exploring LLM-based Verilog Code Generation with Data-Efficient Fine-Tuning and Testbench Automation
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)
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)
Survey Transfer Learning: Recycling Data with Silicon Responses
by: Amini, Ali
Published: (2025)
by: Amini, Ali
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)
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)
Membership Inference Attacks against Large Audio Language Models
by: Dong, Jia-Kai, et al.
Published: (2026)
by: Dong, Jia-Kai, et al.
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)
Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence
by: Wu, Diankun, et al.
Published: (2025)
by: Wu, Diankun, et al.
Published: (2025)
Training a Student Expert via Semi-Supervised Foundation Model Distillation
by: Taghavi, Pardis, et al.
Published: (2026)
by: Taghavi, Pardis, et al.
Published: (2026)
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)
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)
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)
Learning To Help: Training Models to Assist Legacy Devices
by: Wu, Yu, et al.
Published: (2024)
by: Wu, Yu, et al.
Published: (2024)
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)
Affordance-Aware Interactive Decision-Making and Execution for Ambiguous Instructions
by: Xu, Hengxuan, et al.
Published: (2026)
by: Xu, Hengxuan, et al.
Published: (2026)
OSCToM: RL-Guided Adversarial Generation for High-Order Theory of Mind
by: Srishty, Sharmin Sultana, et al.
Published: (2026)
by: Srishty, Sharmin Sultana, et al.
Published: (2026)
Perfecting Aircraft Maneuvers with Reinforcement Learning
by: Cilan, Atahan, et al.
Published: (2026)
by: Cilan, Atahan, et al.
Published: (2026)
Spatial-Temporal Learning-Based Distributed Routing for Dynamic LEO Satellite Networks
by: Chou, Po-Heng, et al.
Published: (2026)
by: Chou, Po-Heng, et al.
Published: (2026)
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)
PARNESS: A Paper Harness for End-to-End Automated Scientific Research with Dynamic Workflows, Full-Text Indexing, and Cross-Run Knowledge Accumulation
by: Wang, Yuchen, et al.
Published: (2026)
by: Wang, Yuchen, et al.
Published: (2026)
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)
Selective Progress-Aware Querying for Human-in-the-Loop Reinforcement Learning
by: Muraleedharan, Anujith, et al.
Published: (2025)
by: Muraleedharan, Anujith, et al.
Published: (2025)
Imitation learning for sim-to-real transfer of robotic cutting policies based on residual Gaussian process disturbance force model
by: Hathaway, Jamie, et al.
Published: (2023)
by: Hathaway, Jamie, et al.
Published: (2023)
End-to-end example-based sim-to-real RL policy transfer based on neural stylisation with application to robotic cutting
by: Hathaway, Jamie, et al.
Published: (2026)
by: Hathaway, Jamie, et al.
Published: (2026)
Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)
by: Fadli, Samih
Published: (2025)
Few-Shot Learning of a Graph-Based Neural Network Model Without Backpropagation
by: Lapin, Mykyta, et al.
Published: (2025)
by: Lapin, Mykyta, et al.
Published: (2025)
ACE: Exploring Activation Cosine Similarity and Variance for Accurate and Calibration-Efficient LLM Pruning
by: Mi, Zhendong, et al.
Published: (2025)
by: Mi, Zhendong, et al.
Published: (2025)
Training Language Models to Use Prolog as a Tool
by: Mellgren, Niklas, et al.
Published: (2025)
by: Mellgren, Niklas, et al.
Published: (2025)
Can Large Language Models Implement Agent-Based Models? An ODD-based Replication Study
by: Fachada, Nuno, et al.
Published: (2026)
by: Fachada, Nuno, et al.
Published: (2026)
LeanProgress: Guiding Search for Neural Theorem Proving via Proof Progress Prediction
by: George, Robert Joseph, et al.
Published: (2025)
by: George, Robert Joseph, et al.
Published: (2025)
Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification
by: Trinh, Minh, et al.
Published: (2025)
by: Trinh, Minh, et al.
Published: (2025)
Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour
by: Howard, Rhys, et al.
Published: (2023)
by: Howard, Rhys, et al.
Published: (2023)
AIDED: Augmenting Interior Design with Human Experience Data for Designer-AI Co-Design
by: Lin, Yang Chen, et al.
Published: (2026)
by: Lin, Yang Chen, et al.
Published: (2026)
ME-IGM: Individual-Global-Max in Maximum Entropy Multi-Agent Reinforcement Learning
by: Chen, Wen-Tse, et al.
Published: (2024)
by: Chen, Wen-Tse, et al.
Published: (2024)
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)
BioAlchemy: Distilling Biological Literature into Reasoning-Ready Reinforcement Learning Training Data
by: Hsu, Brian, et al.
Published: (2026)
by: Hsu, Brian, et al.
Published: (2026)
Similar Items
-
Exploring LLM-based Verilog Code Generation with Data-Efficient Fine-Tuning and Testbench Automation
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) -
Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents
by: Tang, Wenjie, et al.
Published: (2026) -
Survey Transfer Learning: Recycling Data with Silicon Responses
by: Amini, Ali
Published: (2025) -
AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024)