LLM4Cov: Execution-Aware Agentic Learning for High-coverage Testbench Generation
arXiv:2602.16953v1 Announce Type: new Abstract: Execution-aware LLM agents offer a promising paradigm for learning from tool feedback, but such feedback is often expensive and slow …
Hejia Zhang, Zhongming Yu, Chia-Tung Ho, Haoxing Ren, Brucek Khailany, Jishen Zhao
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