Imagen de Portada

TOPCELL: Topology Optimization of Standard Cell via LLMs

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Song, Zhan, Liu, Yu-Tung, Chen, Chen, Sun, Guoheng, Yin, Jiaqi, Ho, Chia-tung, Li, Ang, Ren, Haoxing, Yu, Cunxi
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Autonomous Code Evolution Meets NP-Completeness
por: Yu, Cunxi, et al.
Publicado: (2025)

Large Language Model (LLM) for Standard Cell Layout Design Optimization
por: Ho, Chia-Tung, et al.
Publicado: (2024)

Autonomous Evolution of EDA Tools: Multi-Agent Self-Evolved ABC
por: Yu, Cunxi, et al.
Publicado: (2026)

FVRuleLearner: Operator-Level Reasoning Tree (OP-Tree)-Based Rules Learning for Formal Verification
por: Wan, Lily Jiaxin, et al.
Publicado: (2026)

SchemaCoder: Automatic Log Schema Extraction Coder with Residual Q-Tree Boosting
por: Wan, Lily Jiaxin, et al.
Publicado: (2025)

Timing Analysis Agent: Autonomous Multi-Corner Multi-Mode (MCMM) Timing Debugging with Timing Debug Relation Graph
por: Nainani, Jatin, et al.
Publicado: (2025)

BoolE: Exact Symbolic Reasoning via Boolean Equality Saturation
por: Yin, Jiaqi, et al.
Publicado: (2025)

BoolGebra: Attributed Graph-learning for Boolean Algebraic Manipulation
por: Li, Yingjie, et al.
Publicado: (2024)

LLM4Cov: Execution-Aware Agentic Learning for High-coverage Testbench Generation
por: Zhang, Hejia, et al.
Publicado: (2026)

Polymath: A Self-Optimizing Agent with Dynamic Hierarchical Workflow
por: Ho, Chia-Tung, et al.
Publicado: (2025)

Differentiable Initialization-Accelerated CPU-GPU Hybrid Combinatorial Scheduling
por: Liu, Mingju, et al.
Publicado: (2026)

VerilogCoder: Autonomous Verilog Coding Agents with Graph-based Planning and Abstract Syntax Tree (AST)-based Waveform Tracing Tool
por: Ho, Chia-Tung, et al.
Publicado: (2024)

Revisit Choice Network for Synthesis and Technology Mapping
por: Chen, Chen, et al.
Publicado: (2025)

Differentiable Combinatorial Scheduling at Scale
por: Liu, Mingju, et al.
Publicado: (2024)

DRC-Coder: Automated DRC Checker Code Generation Using LLM Autonomous Agent
por: Chang, Chen-Chia, et al.
Publicado: (2024)

GauS: Differentiable Scheduling Optimization via Gaussian Reparameterization
por: Cai, Yaohui, et al.
Publicado: (2026)

e-boost: Boosted E-Graph Extraction with Adaptive Heuristics and Exact Solving
por: Yin, Jiaqi, et al.
Publicado: (2025)

HEC: Equivalence Verification Checking for Code Transformation via Equality Saturation
por: Yin, Jiaqi, et al.
Publicado: (2025)

Demystifying When Pruning Works via Representation Hierarchies
por: He, Shwai, et al.
Publicado: (2026)

GRPO with State Mutations: Improving LLM-Based Hardware Test Plan Generation
por: Kochar, Dimple Vijay, et al.
Publicado: (2026)

Learning Library Cell Representations in Vector Space
por: Liang, Rongjian, et al.
Publicado: (2025)

Comprehensive Verilog Design Problems: A Next-Generation Benchmark Dataset for Evaluating Large Language Models and Agents on RTL Design and Verification
por: Pinckney, Nathaniel, et al.
Publicado: (2025)

What Matters in Transformers? Not All Attention is Needed
por: He, Shwai, et al.
Publicado: (2024)

CROP: Circuit Retrieval and Optimization with Parameter Guidance using LLMs
por: Pan, Jingyu, et al.
Publicado: (2025)

Towards Building Non-Fine-Tunable Foundation Models
por: Wang, Ziyao, et al.
Publicado: (2026)

ACE-RTL: When Agentic Context Evolution Meets RTL-Specialized LLMs
por: Deng, Chenhui, et al.
Publicado: (2026)

FedMOA: Federated GRPO for Personalized Reasoning LLMs under Heterogeneous Rewards
por: Wang, Ziyao, et al.
Publicado: (2026)

Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descent
por: Yang, Haoyu, et al.
Publicado: (2024)

Predictive Auditing of Hidden Tokens in LLM APIs via Reasoning Length Estimation
por: Wang, Ziyao, et al.
Publicado: (2025)

ILILT: Implicit Learning of Inverse Lithography Technologies
por: Yang, Haoyu, et al.
Publicado: (2024)

ReVEAL: GNN-Guided Reverse Engineering for Formal Verification of Optimized Multipliers
por: Chen, Chen, et al.
Publicado: (2025)

HeaRT: A Hierarchical Circuit Reasoning Tree-Based Agentic Framework for AMS Design Optimization
por: Poddar, Souradip, et al.
Publicado: (2025)

VeriReason: Reinforcement Learning with Testbench Feedback for Reasoning-Enhanced Verilog Generation
por: Wang, Yiting, et al.
Publicado: (2025)

Prada: Black-Box LLM Adaptation with Private Data on Resource-Constrained Devices
por: Wang, Ziyao, et al.
Publicado: (2025)

SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning
por: Wang, Yiting, et al.
Publicado: (2025)

FVDebug: An LLM-Driven Debugging Assistant for Automated Root Cause Analysis of Formal Verification Failures
por: Bai, Yunsheng, et al.
Publicado: (2025)

Pushing the Limits of Inverse Lithography with Generative Reinforcement Learning
por: Yang, Haoyu, et al.
Publicado: (2026)

EUPHORIA: Efficient Universal Planning via Hybrid Optimization for Robust Industrial Robotic Assembly
por: Lai, Shih-Yu, et al.
Publicado: (2026)

Topology Structure Optimization of Reservoirs Using GLMY Homology
por: Chen, Yu, et al.
Publicado: (2025)

Code Less, Align More: Efficient LLM Fine-tuning for Code Generation with Data Pruning
por: Tsai, Yun-Da, et al.
Publicado: (2024)