mlsanityData to 7 Oct 2026

A Survey of Research in Large Language Models for Electronic Design Automation

arXiv 2501.09655 ↗First posted 16 Jan 2025cs.LGcited by 38

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Abstract (arXiv)

Within the rapidly evolving domain of Electronic Design Automation (EDA), Large Language Models (LLMs) have emerged as transformative technologies, offering unprecedented capabilities for optimizing and automating various aspects of electronic design. This survey provides a comprehensive exploration of LLM applications in EDA, focusing on advancements in model architectures, the implications of varying model sizes, and innovative customization techniques that enable tailored analytical insights. By examining the intersection of LLM capabilities and EDA requirements, the paper highlights the significant impact these models have on extracting nuanced understandings from complex datasets. Furthermore, it addresses the challenges and opportunities in integrating LLMs into EDA workflows, paving the way for future research and application in this dynamic field. Through this detailed analysis, the survey aims to offer valuable insights to professionals in the EDA industry, AI researchers, and anyone interested in the convergence of advanced AI technologies and electronic design.

Key facts. Cited by 38 papers in the map (data through 7 Oct 2026). Builds on 44 of its 64 references that are in the map. First posted on arXiv 16 Jan 2025.

Builds on

44 of 64 references.

References · 44

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  3. 2020Language Models are Few-Shot Learnerscited by 32,199
  4. 2023GPT-4 Technical Reportcited by 18,132
  5. 2022Training language models to follow instructions with human feedbackcited by 15,712
  6. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  7. 2024The Llama 3 Herd of Modelscited by 14,192
  8. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
  9. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 12,865
  10. 2021Zero-Shot Text-to-Image Generationcited by 4,276
  11. 2017Deep reinforcement learning from human preferencescited by 3,846
  12. 2023Mistral 7Bcited by 3,065
32 more
  1. 2024DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligencecited by 1,154
  2. 2022CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesiscited by 876
  3. 2023Learning to Compress Prompts with Gist Tokenscited by 379
  4. 2023VerilogEval: Evaluating Large Language Models for Verilog Code Generationcited by 246
  5. 2023VeriGen: A Large Language Model for Verilog Code Generationcited by 197
  6. 2023An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generationcited by 193
  7. 2023ChipNeMo: Domain-Adapted LLMs for Chip Designcited by 168
  8. 2024CodeGemma: Open Code Models Based on Gemmacited by 145
  9. 2023Chip-Chat: Challenges and Opportunities in Conversational Hardware Designcited by 136
  10. 2023ChatEDA: A Large Language Model Powered Autonomous Agent for EDAcited by 118
  11. 2023ChipGPT: How far are we from natural language hardware designcited by 101
  12. 2024BetterV: Controlled Verilog Generation with Discriminative Guidancecited by 99
  13. 2023RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Modelscited by 98
  14. 2024VerilogCoder: Autonomous Verilog Coding Agents with Graph-based Planning and Abstract Syntax Tree (AST)-based Waveform Tracing Toolcited by 85
  15. 2024AnalogCoder: Analog Circuit Design via Training-Free Code Generationcited by 82
  16. 2023AutoChip: Automating HDL Generation Using LLM Feedbackcited by 80
  17. 2023Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimismcited by 69
  18. 2023RTLCoder: Outperforming GPT-3.5 in Design RTL Generation with Our Open-Source Dataset and Lightweight Solutioncited by 69
  19. 2024Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTScited by 42
  20. 2024Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QAcited by 28
  21. 2024MEIC: Re-thinking RTL Debug Automation using LLMscited by 25
  22. 2024LayoutCopilot: An LLM-powered Multi-agent Collaborative Framework for Interactive Analog Layout Designcited by 24
  23. 2024The Price of Prompting: Profiling Energy Use in Large Language Models Inferencecited by 22
  24. 2023The Power of Large Language Models for Wireless Communication System Development: A Case Study on FPGA Platformscited by 20
  25. 2024LLoCO: Learning Long Contexts Offlinecited by 16
  26. 2024VerilogReader: LLM-Aided Hardware Test Generationcited by 16
  27. 2024DRC-Coder: Automated DRC Checker Code Generation Using LLM Autonomous Agentcited by 15
  28. 2024EDA Corpus: A Large Language Model Dataset for Enhanced Interaction with OpenROADcited by 12
  29. 2023On the Viability of using LLMs for SW/HW Co-Design: An Example in Designing CiM DNN Acceleratorscited by 11
  30. 2024LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generationcited by 11
  31. 2023A Deep Learning Framework for Verilog Autocompletion Towards Design and Verification Automationcited by 10
  32. 2024Large Language Model (LLM) for Standard Cell Layout Design Optimizationcited by 9

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 13; 2026: 25.

38 papers.

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  1. 2025LoopTool: Closing the Data-Training Loop for Robust LLM Tool Callscited by 16
  2. 2025AMSbench: A Comprehensive Benchmark for Evaluating MLLM Capabilities in AMS Circuitscited by 14
  3. 2025AnalogCoder-Pro: Unifying Analog Circuit Generation and Optimization via Multi-modal LLMscited by 14
  4. 2026POET: Power-Oriented Evolutionary Tuning for LLM-Based RTL PPA Optimizationcited by 11
  5. 2025MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimizationcited by 9
  6. 2025Revolution or Hype? Seeking the Limits of Large Models in Hardware Designcited by 9
  7. 2025TuRTLe: A Unified Evaluation of LLMs for RTL Generationcited by 8
  8. 2025AutoEDA: Enabling EDA Flow Automation through Microservice-Based LLM Agentscited by 6
  9. 2026HWE-Bench: Benchmarking LLM Agents on Real-World Hardware Bug Repair Taskscited by 6
  10. 2026Dr. RTL: Autonomous Agentic RTL Optimization through Tool-Grounded Self-Improvementcited by 5
  11. 2025VFocus: Better Verilog Generation from Large Language Model via Focused Reasoningcited by 4
  12. 2026CircuitLM: A Multi-Agent LLM-Aided Design Framework for Generating Circuit Schematics from Natural Language Promptscited by 4
26 more
  1. 2025CROP: Circuit Retrieval and Optimization with Parameter Guidance using LLMscited by 3
  2. 2025NotSoTiny: A Large, Living Benchmark for RTL Code Generationcited by 3
  3. 2026Automated QoR improvement in OpenROAD with coding agentscited by 3
  4. 2026CktEvo: Repository-Level RTL Code Benchmark for Design Evolutioncited by 3
  5. 2025EARL: Entropy-Aware RL Alignment of LLMs for Reliable RTL Code Generationcited by 2
  6. 2026Bench4HLS: End-to-End Evaluation of LLMs in High-Level Synthesis Code Generationcited by 2
  7. 2026Agentic Agile-V: From Vibe Coding to Verified Engineering in Software and Hardware Developmentcited by 2
  8. 2025ProtocolLLM: RTL Benchmark for SystemVerilog Generation of Communication Protocolscited by 1
  9. 2025AutoFSM: A Multi-agent Framework for FSM Code Generation with IR and SystemC-Based Testingcited by 1
  10. 2026HAVEN: Hybrid Automated Verification ENgine for UVM Testbench Synthesis with LLMscited by 1
  11. 2026AutoPPA: Automated Circuit PPA Optimization via Contrastive Code-based Rule Library Learningcited by 0
  12. 2026Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Modelscited by 0
  13. 2026RuC: HDL-Agnostic Rule Completion Benchmark Generationcited by 0
  14. 2026From Mirage to Grounding: Towards Reliable Multimodal Circuit-to-Verilog Code Generationcited by 0
  15. 2026Complexity Horizons of Compressed Models in Analog Circuit Analysiscited by 0
  16. 2026OpenRTLSet: A Fully Open-Source Dataset for Large Language Model-based Verilog Module Designcited by 0
  17. 2026Surveying GenAI-based Automation in Printed Circuit Board Design and Testcited by 0
  18. 2026Agentic Electronic Design Automation: A Handoff Perspectivecited by 0
  19. 2026An LLM-Orchestrated Agent for Directional-Coupler Design with Self-Consistent Eigenmode and FDTD Validationcited by 0
  20. 2026When LLMs Over-Answer: Measuring and Mitigating Quality Issues in LLM-Based Hardware Description Language Question Answeringcited by 0
  21. 2026PICopilot: An LLM-based Agentic Framework for Assisting Photonic Integrated Circuit Design via Script Generationcited by 0
  22. 2026VeriTrace: Human-Like Temporal Exploration Completes Agentic Action Spacecited by 0
  23. 2026SeqFeed: Improving Agentic RTL Code Generation with Sequential Behavior Feedbackcited by 0
  24. 2026LLMs in Digital EDA: A perspective on shifting roles from Generation to Orchestrationcited by 0
  25. 2026Gen-TAS: A Generative AI-Aided Hardware-Software Task Allocation Framework for FPGA-GPP Heterogeneous Systemscited by 0
  26. 2026Long-Horizon Analog Design Bench: Benchmarking Agents on Hours-Long Analog and Mixed-Signal Circuit Design Taskscited by 0