Author

Zhi-Hao Lin

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Preprint Aug 2026

OpenHarmony Bench: Evaluating LLMs and Coding Agents on OpenHarmony App Development

We present OPENHARMONY BENCH, an app-level coding benchmark for evaluating LLM-based coding agents on OpenHarmony ArkTS applications. Unlike function-level benchmarks, it evaluates complete app-level changes: each task requires an agent to modify a buildable ArkTS project so that a requested behavior works end to end,...

Li Li, Han Hu, Tian-Jian Zhang et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Metrics That Write Themselves: Evolving an Evaluator from Its Own Blind Spots

EvalCEGAR is a pool of small Python operators that each flag a candidate for one named defect, or abstain, and vote, and borrows counterexample-guided abstraction refinement from program verification to score agents against a reliable automatic metric.

Xing Zhang, Ya Cui, Guanghui Wang et al. · 0 citations