AdaExplore: Failure-Driven Adaptation and Diversity-Preserving Search for Efficient Kernel Generation

ArXi:2604.16625v1 Announce Type: cross Recent large language model (LLM) agents have shown promise in using execution feedback for test-time adaptation. However, robust self-improvement remains far from solved: most approaches still treat each problem instance independently, without accumulating reusable knowledge. This limitation is particularly pronounced in domain-specific languages such as Triton, which are underrepresented in LLM pre