Georgia Institute of Technology
US
Enabling Rapid Optimized Domain Acceleration With Agentic High-Level Synthesis
Hong Kong University of Science and Technology Hong Kong SAR
Layout Logic Restructuring via Equality-Saturated Graph Retrieval-Augmented Generation
University of California, Berkeley
xComp: A Portable LLM-Driven Code Optimizer for Tensor Accelerators
The University of Texas at Austin
Toward Agentic Foundation Frameworks for Analog and Mixed-Signal Design Automation
University of Minnesota Twin Cities
GenChipUI: A Multi-Agent Framework for Trustworthy LLM-Aided Chip Design
New York University
Do LLMs Know What’s Hard? Representation Based Difficulty and Security Estimation for Verilog Generation
Cornell University
Agentic and Formal RTL Optimization with LLM-Guided Equality Saturation
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