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Jian-Xing Yu

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Preprint Aug 2026

SWE-Prime: Fewer Trajectories, Better Performance

To improve large language models'ability to resolve real-world software issues, prior work has focused on constructing large-scale agent trajectory datasets and performing supervised fine-tuning (SFT) on successful trajectories. However, task success does not guarantee high-quality supervision: successful trajectories...

De-Wu Zheng, Rui Ye, Yanlan Wang et al. · 3 citations
#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

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