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cs.LG2026
CoEvoP&R: Co-Evolving Placement Objectives with Routing Feedback via Large Language Models
Ruogu Chen, Weihua Xiao, Ramesh Karri +1
Analytical placers rely on differentiable objective functions to guide placement, typically combining intermediate surrogate metrics such as half-perimeter wirelength (HPWL) and ce…
cs.LG2025
VeriDispatcher: Multi-Model Dispatching through Pre-Inference Difficulty Prediction for RTL Generation Optimization
Zeng Wang, Weihua Xiao, Minghao Shao +4
Large Language Models (LLMs) show strong performance in RTL generation, but different models excel on different tasks because of architecture and training differences. Prior work m…