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Outrunning LLM Cutoffs: A Live Kernel Crash Resolution Benchmark for All

ICML 2026 · Multi-agent systems and games › LLM agents · approach: Agent data synthesis and behavior studies · 0 citations (OpenAlex)

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Introduces Live-kBench, a self-evolving benchmark that continuously ingests fresh Syzbot Linux kernel crashes, plus kEnv, an agent-agnostic execution environment, and evaluates mini-SWE-agent, SWE-agent, and OpenHands on 534 bugs.

Problem

Static kernel crash-repair benchmarks are vulnerable to data contamination from LLM knowledge cutoffs and do not reflect the evolving Linux kernel, and kernel patch evaluation requires heavy, agent-specific execution setups.

Approach

A live benchmark that weekly scrapes newly fixed Syzbot kernel bugs, filters for reproducibility, and runs agents in a standardized, decoupled kernel execution environment (kEnv over kGymSuite), with time-aware evaluation split at LLM knowledge cutoffs and LLM-judged patch equivalence to developer fixes.

Key results

Surprising findings

Limitations

Experimental setup

Datasets: Syzbot kernel bugs kBenchSyz Live-kBench-2512

Benchmarks: Live-kBench-2512 kBenchSyz

Metrics: crash resolution rate equivalent patch rate IoU file level IoU function level pass@k mean@k

Baselines: SWE-agent OpenHands CrashFixer kBenchSyz

Builds on: SWE-agent mini-SWE-agent OpenHands kGymSuite kBenchSyz SWE-bench

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