LLM4Cov: Execution-Aware Agentic Learning for High-coverage Testbench Generation
arXiv:2602.16953v3 Announce Type: replace Abstract: Execution-aware LLM agents offer a promising paradigm for learning from tool feedback, but such feedback can be expensive and slow to obtain, making