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Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation
ICML 2026 论文：让 LLM 智能体利用反馈自主规划，实现更高效的 CUDA 核生成。
arXiv:2605.26720v1 Announce Type: new Abstract: Large language models (LLMs) have shown strong empirical gains as self-evolving agents for CUDA kernel…