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Jiachi Chen

ACL 2026×4代码检索与知识安全评测与基准效率与系统
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合作网络6
0 一作 · 4 篇 · ACL 2026

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2026 顶会论文

4
作者位次 #6/8ACL 2026Poster· Natural Language Processing

From Logical to Computational Sparsity: Structure-Aware Block-Sparse Attention for Long-Code Completion

Yanli Wang · Yanlin Wang · Bowen Zhang · Yiwei Zhang · Daya Guo · Jiachi Chen · Hongyu Zhang · Zibin Zheng

摘要

Code Large Language Models face critical Time-To-First-Token (TTFT) latency challenges when handling long code completion due to the quadratic complexity ( O(n^2) ) of attention mechanisms. While existing sparse attention methods attempt to address this issue, they suffer from three key limitatio...

效率与系统代码推理OpenReview 项目页
作者位次 #6/9ACL 2026Findings· Findings of ACL

A rk R epo B ench: A Repository-Level Code Completion Benchmark for H armony OS Development

Yanlin Wang · Bowen Zhang · Yanli Wang · Daya Guo · Terry Yue Zhuo · Jiachi Chen · Mingwei Liu · Xingong Zhang · Zibin Zheng

摘要

ArkTS is the primary programming language for Huawei’s HarmonyOS ecosystem, which has expanded across smartphones, tablets, and IoT devices. While large language models have demonstrated strong code generation capabilities for mainstream languages, their performance on ArkTS remains largely unexp...

代码检索与知识安全OpenReview 项目页
作者位次 #7/8ACL 2026Findings· Findings of ACL

R eal S ec-bench: A Benchmark for Evaluating Secure Code Generation in Real-World Repositories

Yanlin Wang · Ziyao Zhang · Chong Wang · Xinyi Xu · Mingwei Liu · Yong Wang · Jiachi Chen · Zibin Zheng

摘要

Large Language Models (LLMs) have demonstrated remarkable capabilities in code generation, but their proficiency in producing secure code remains a critical, under-explored area. Existing benchmarks often fall short by relying on synthetic vulnerabilities or evaluating functional correctness in i...

代码安全评测与基准OpenReview 项目页
作者位次 #7/11ACL 2026Findings· Findings of ACL

From Conversation to Evaluation: Benchmarking LLM s on Development Knowledge via S imple D ev QA

Jing Zhang · Lianghong Guo · Yanlin Wang · Terry Yue Zhuo · Yong Wang · Mingwei Liu · Jiachi Chen · Ensheng Shi · Yuchi Ma · Hongyu Zhang · Zibin Zheng

摘要

The Development Knowledge Question Answering (Dev Knowledge QA) task aims to provide accurate natural language answers to knowledge-seeking questions during software development. To investigate the importance of Dev Knowledge QA in AI-assisted software development and the extent to which it has b...

检索与知识评测与基准代码OpenReview 项目页

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