Cover Image

Rethinking LLM-Based RTL Code Optimization Via Timing Logic Metamorphosis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Zhihao, Li, Bixin, Wang, Lulu
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Artificial Intelligence 68N19, 68T05 B.6.3; D.3.4; I.2.2; I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CELI: Controller-Embedded Language Model Interactions
by: Wagner, Jan-Samuel, et al.
Published: (2024)

Context Engineering for Multi-Agent LLM Code Assistants Using Elicit, NotebookLM, ChatGPT, and Claude Code
by: Haseeb, Muhammad
Published: (2025)

Optimizing Large Language Models for OpenAPI Code Completion
by: Petryshyn, Bohdan, et al.
Published: (2024)

React-ing to Grace Hopper 200: Five Open-Weights Coding Models, One React Native App, One GH200, One Weekend
by: Potanin, Alex
Published: (2026)

RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing
by: Guo, Jinyao, et al.
Published: (2025)

SLEAN: Simple Lightweight Ensemble Analysis Network for Multi-Provider LLM Coordination: Design, Implementation, and Vibe Coding Bug Investigation Case Study
by: Vargas, Matheus J. T.
Published: (2025)

LLM Agents for Generating Microservice-based Applications: how complex is your specification?
by: Yellin, Daniel M.
Published: (2025)

Generative AI and the Transformation of Software Development Practices
by: Acharya, Vivek
Published: (2025)

See-Saw Generative Mechanism for Scalable Recursive Code Generation with Generative AI
by: Vsevolodovna, Ruslan Idelfonso Magaña
Published: (2024)

Mind the Metrics: Patterns for Telemetry-Aware In-IDE AI Application Development using the Model Context Protocol (MCP)
by: Koc, Vincent, et al.
Published: (2025)

Kodezi Chronos: A Debugging-First Language Model for Repository-Scale Code Understanding
by: Khan, Ishraq, et al.
Published: (2025)

How AI Coding Agents Modify Code: A Large-Scale Study of GitHub Pull Requests
by: Ogenrwot, Daniel, et al.
Published: (2026)

LLMDFA: Analyzing Dataflow in Code with Large Language Models
by: Wang, Chengpeng, et al.
Published: (2024)

Efficient Generation of Multimodal Fluid Simulation Data
by: Baieri, Daniele, et al.
Published: (2023)

DISC: Dynamic Decomposition Improves LLM Inference Scaling
by: Light, Jonathan, et al.
Published: (2025)

Generative AI in Transportation Planning: A Survey
by: Da, Longchao, et al.
Published: (2025)

Beyond Motion Imitation: Is Human Motion Data Alone Sufficient to Explain Gait Control and Biomechanics?
by: Liu, Xinyi, et al.
Published: (2026)

Tool-Genesis: A Task-Driven Tool Creation Benchmark for Self-Evolving Language Agent
by: Xia, Bowei, et al.
Published: (2026)

Spatio-temporal, multi-field deep learning of shock propagation in meso-structured media
by: Fernández-Godino, M. Giselle, et al.
Published: (2025)

DRS-OSS: Practical Diff Risk Scoring with LLMs
by: Sayedsalehi, Ali, et al.
Published: (2025)

Generating Realistic Safety-Critical Scenarios for Vehicle-Pedestrian Interactions
by: Pu, Qingwen, et al.
Published: (2026)

CETBench: A Novel Dataset constructed via Transformations over Programs for Benchmarking LLMs for Code-Equivalence Checking
by: Oza, Neeva, et al.
Published: (2025)

Dual-Process Scaffold Reasoning for Enhancing LLM Code Debugging
by: Hsieh, Po-Chung, et al.
Published: (2025)

UAIbot: Beginner-friendly web-based simulator for interactive robotics learning and research
by: Brayan, Johnata, et al.
Published: (2025)

Can Large Language Models Implement Agent-Based Models? An ODD-based Replication Study
by: Fachada, Nuno, et al.
Published: (2026)

When Many-Shot Prompting Fails: An Empirical Study of LLM Code Translation
by: Oskooei, Amirkia Rafiei, et al.
Published: (2025)

5C Prompt Contracts: A Minimalist, Creative-Friendly, Token-Efficient Design Framework for Individual and SME LLM Usage
by: Ari, Ugur
Published: (2025)

AI-assisted JSON Schema Creation and Mapping
by: Neubauer, Felix, et al.
Published: (2025)

Two Is Better Than One: Rotations Scale LoRAs
by: Guo, Hongcan, et al.
Published: (2025)

Thinking Machines: Mathematical Reasoning in the Age of LLMs
by: Asperti, Andrea, et al.
Published: (2025)

TraXion: Rethinking Pre-training Frameworks for Mobility and Beyond
by: Hsu, Shang-Ling, et al.
Published: (2026)

ChipCraftBrain: Validation-First RTL Generation via Multi-Agent Orchestration
by: Eryilmaz, Cagri
Published: (2026)

Emergent Collective Memory in Decentralized Multi-Agent AI Systems
by: Khushiyant
Published: (2025)

L2MAC: Large Language Model Automatic Computer for Extensive Code Generation
by: Holt, Samuel, et al.
Published: (2023)

NeurOptimisation: The Spiking Way to Evolve
by: Cruz-Duarte, Jorge Mario, et al.
Published: (2025)

DrivAer Transformer: A high-precision and fast prediction method for vehicle aerodynamic drag coefficient based on the DrivAerNet++ dataset
by: He, Jiaqi, et al.
Published: (2025)

A Prompt Learning Framework for Source Code Summarization
by: Xu, Tingting, et al.
Published: (2023)

AgenticFlict: A Large-Scale Dataset of Merge Conflicts in AI Coding Agent Pull Requests on GitHub
by: Ogenrwot, Daniel, et al.
Published: (2026)

Perfecting Aircraft Maneuvers with Reinforcement Learning
by: Cilan, Atahan, et al.
Published: (2026)

Fact Grounded Attention: Eliminating Hallucination in Large Language Models Through Attention Level Knowledge Integration
by: Gupta, Aayush
Published: (2025)