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Posts tagged with "paper-reading"
Paper Reading 002 — Kernel Design Agents: An Agent Loop That Builds Fast GPU Kernels
HAN Lab's 'Kernel Mafia' pointed coding agents at the MLSys-2026 Blackwell kernel contest and placed — by letting the agent run the optimization loop itself. A close read of Kernel Design Agents (KDA): the Humanize plan-execute-verify loop, KernelWiki, ncu-report-skill, shape-aware autotuning, the contest results, and the reward-hacking failure modes — mapped onto what it would take to rebuild on AMD. Hand-coded SVG diagrams, bilingual.
Paper Reading 001 — Polar: Training Agents Without Opening the Box
Polar (arXiv 2605.24220, NVIDIA) trains language agents with RL by proxying their LLM API calls instead of rewriting the harness. The integration point moves from the agent to the model endpoint — the exact seam we already run with SGLang. A close read of the architecture, the four-step proxy, token-faithful prefix merging, and the SWE-Bench results, with hand-coded SVG diagrams.