PlaceReasoner-Beta: Reasoning-Driven Macro Placement and Benchmarking
This work presents PlaceReasoner-Beta, a verifier-guided multi-agent framework that reformulates macro placement as a closed-loop reasoning problem rather than black-box optimization, demonstrating that reasoning over spatial structure under physical-design feedback can improve end-to-end layout quality beyond proxy-ob...