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Jiachi Chen

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Review Sep 2026

Bridging the Opacity: Evidence-Backed Cross-Chain Transaction Correspondence Reconstruction Across Heterogeneous Blockchains

Cross-chain bridges enable interoperability, but they also break the transaction trails needed to trace illicit funds. Third-party investigators typically cannot access the source-to-destination mappings maintained by bridge backends, and our survey of 131 bridges finds that only 16.79% provide complete public tracking...

Dan-yan Lin, Huan Xiao, Zi-Wei Li et al. · 0 citations
#artificial intelligence Review Sep 2026

SWE-Gate: Passing Functional Tests Is Not Enough for Software Engineering Agents

Findings show that functional-only evaluation overestimates agents'ability to satisfy the full requirements of repository-level repair tasks, and introduces SWE-Gate, a repository-level benchmark for software engineering agents that explicitly evaluates review constraint compliance alongside functional correctness.

Xin He, Yan-Lin Wang, Ming-Wei Liu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Efficient SWE Agent Benchmarking via Trajectory-Aware Evaluation

PTA-IRT is proposed, a Privileged Trajectory-Aware Item Response Theory framework that fuses process and outcome signals and consistently outperforms prior IRT baselines on score and ranking recovery across four SWE benchmarks.

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

PhoenixRepair: Rethinking Repair Strategy Exploration in Software Agents

PhoenixRepair is a multi-agent framework that systematically explores multiple candidate edit locations and performs iterative reflection and refinement on patch generation, thereby expanding the search space of repair strategies and achieves higher fault localization accuracy than existing approaches.

Tian-Yue Jiang, Yan-Lin Wang, Xin He et al. · 2 citations

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