ChipMATE: Multi-Agent Training via Reinforcement Learning for Enhanced RTL Generation

ArXi:2605.12857v1 Announce Type: cross Existing API-based agentic systems for RTL code generation are fundamentally misaligned with industrial practice: they assume a golden testbench is available at generation time, rely on closed-source APIs incompatible with chip vendors' air-gapped security requirements, and cannot be trained on vendors' To bridge these gaps, we present ChipMATE, the first self-trained multi-agent framework for RTL generation.