LAD 2025 – International Conference on LLM-Aided Design

1st IEEE International Conference on LLM-Aided Design – LAD 2025
June 26-27 2025
Stanford, CA
https://iclad.ai/ 

This new international conference will focus on how to use Large Language Models (LLMs) to help design circuits, software, and computing systems with improved quality, productivity, robustness, and cost. Building on the success of last year’s LAD workshop, we’re excited to announce the first-ever international LAD conference! The conference will be a timely venue that will host leading researchers and thought leaders in this fast-growing area, providing a forum for researchers and practitioners to present their latest results, contribute open-source models, datasets, and tool flows, and offer benchmarking, testing, and validation methods and solutions. 

The main theme of LAD this year will revolve around agentic optimization and scaling inference-time methods, but we welcome a broad range of topics on new methodologies, tools, datasets, and benchmarks pertaining to:

• Agentic workflows for design automation and optimization
• Inference-time techniques for design 
• LLM-aided HW/SW design, code generation, and test plan generation
• System-level design methodology development with LLMs
• Finetuning of large foundation models for specialization in design automation
• New datasets and benchmarks of relevance to LLM-aided design
• Evaluation and verification of LLM-aided designs
• LLM-aided design for software development, IT automation, site reliability, and regulatory compliance. 
• LLMs for EDA, including RTL, HLS, physical design, and EDA scripting
• LLMs for reasoning and logic used in design process 
• Computational efficiency of LLM-aided design tools
• Data science and data analytics for LLM-aided design
• Security of LLM-generated designs
• Privacy, copyright, and other regulatory concerns around LLM-aided design
• LLM-aided bug-fixing
• LLM-aided design for various application domains, such as 3D manufacturing, material discovery, sustainability, etc.

SUBMISSION INSTRUCTION
The conference invites up to 6-page regular papers in the IEEE Conference format (https://www.ieee.org/conferences/publishing/templates.html). Page limits do not include references. Papers should be anonymized for double-blind peer review. We encourage papers with a commitment to open and reproducible research, including datasets and methods. Papers with open-source implementations will be highlighted at the conference. All papers will be published on IEEEXplore. Papers can be submitted via OpenReview (https://openreview.net/group?id=IEEE.org/LAD/2025) by Friday, Feb. 28th, 2025 AoE.

See the conference website (https://iclad.ai/) for more details. 

DATASETS AND BENCHMARKS PAPERS
LAD’25 welcomes papers describing new Datasets and Benchmarks of relevance to the LLM-Aided Design community. Papers describing new datasets and benchmarks must follow the exact same rules and procedures as regular (up to) 6-page papers; they will be peer reviewed; and accepted papers will be published in the proceedings. Datasets and Benchmarks papers must include an explicit commitment to releasing all artifacts publicly if accepted. The commitment should be added to the Conclusion section of the paper. 

IMPORTANT DATES
Full paper submission: Feb 28th, 2025, AoE
Notification of acceptance:     May 8th, 2025, AoE
Camera ready paper due:      May 22nd, 2025, AoE

ORGANIZING COMMITTEE
General Chairs: Siddharth Garg (NYU), Haoxing (Mark) Ren (NVidia)
Program Chairs: Azalia Mirhosseini (Stanford), Yong Liu (Cadence), JV Rajendran (TAMU)
Finance Chair:  Callie Hao (GaTech)
Publicity Chair:  Jeff Goeders (BYU)
Local Chair: Ehsan Degan (IBM)
Webmaster: Kaiwen Cao (UIUC)