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Terry Yue Zhuo

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#artificial intelligence Review Sep 2026

Harbor Adapters and Harbor-Index: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation

Harbor Adapters are developed that port more than 80 benchmarks to evaluate arbitrary agents, and validated through rigorous code review and parity experiments, and Harbor-Index is introduced, a curated set of 82 difficult, diverse, and high-quality tasks spanning 29 benchmarks to support more reliable and comprehensiv...

Lin Shi, Hao-Wei Lin, Zi-Xuan Zhu et al. · 1 citation
#artificial intelligence Preprint Sep 2026

Adaptive Critical Token-Aware Retrieval for Repository-Level Code Generation

ACToR identifies critical tokens during generation and triggers targeted retrieval on demand to provide repository context at these decisive positions, and designs a position-aware weighting method for dense retrievers to prioritize context that is more informative for generation.

Ke-Feng Duan, De-Wu Zheng, Yan-Lin Wang et al. · 0 citations
Review Aug 2026

SWE-Bench ProMax: Benchmarking Agents on Large-Scale Multilingual Code Refactoring

SWE-Bench ProMax is introduced, an expert-curated, multilingual code refactoring benchmark of 170 instances drawn from real commits across seven programming languages, which presents a meaningful and unsaturated challenge for current AI coding agents.

Yu-Ling Shi, Jing-Heng Xu, Kelin Fu et al. · 6 citations

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