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arXiv · 2608.18595

OdinEval: A Reproducible Benchmark for LLM-Based Program Repair in the Odin Programming Language

Bang Xie·Hao Liu·Zhiyuan Peng·Xin Yin·Senjian Zhang·Yuan Luo·Chenhao Ying·Haiming Jin·Wei Chen·Shaocong Long·Zhenyu Shi
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Abstract

Repository-level repair benchmarks still center on a few mainstream languages, leaving systems languages such as Odin largely untested. We present OdinEval, a reproducible benchmark built from documented defects in public Odin repositories. Each instance binds an issue to base and fix commits, a gold patch, an issue-specific regression test, a historical toolchain, and execution records. Admission requires the test to fail on the base revision and pass after the gold fix. When no usable developer test exists, a black-box test is reviewed independently by three instances of the same model, executed in both historical states, and revised from recorded feedback under a versioned Test Writing Skill. We evaluate six language models on 168 filtered instances under one shared protocol. Kimi-K3 records the highest Resolved score at 66.7%, while Qwen3.8-Max has the highest Repro score at 96.4%. The release includes frozen data, source archives, containers, validators, model patches, and audit manifests.

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Bang Xie, Hao Liu, Zhiyuan Peng, Xin Yin, Senjian Zhang, Yuan Luo, Chenhao Ying, Haiming Jin, Wei Chen, Shaocong Long, Zhenyu Shi. 2026-08-19. OdinEval: A Reproducible Benchmark for LLM-Based Program Repair in the Odin Programming Language. https://arxiv.org/abs/2608.18595

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