AI RESEARCH
UniRTL: Unifying Code and Graph for Robust RTL Representation Learning
arXiv CS.LG
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ArXi:2605.31040v1 Announce Type: new Developing effective representations for register transfer level (RTL) designs is crucial for accelerating the hardware design workflow. Existing approaches, however, typically rely on a single data modality, either the RTL code or its associated graph-based representation, limiting the expressiveness and generalization ability of the learned representations.