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cs.LG2026
From Experience to Expertise: Adoption-Aware Memory Learning for Data-Scarce NPU Kernel Synthesis
Longxiao Fan, Tao Zhang, Han Yan +5
High-performance kernels underpin efficient accelerator execution but require expert tuning and lengthy manual optimization cycles. LLM coding agents promise automation, yet their…
cs.CL2026
Metis: Bridging Text and Code Memory for Self-Evolving Agents
Zijie Dai, Siuhin He, Hui Li +9
Self-evolving agents improve over time by distilling experience from past executions and reusing it in future tasks. Existing systems represent such experience either as natural-la…