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20232026
most citedVul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG

17 citations · 49 across the 20 of their papers we have counts for

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6 papers · 1 filter

cs.SE2026

When Sub-Agents Work in Parallel: The Promises and Pitfalls of Dynamic Concurrency in Long-Horizon Coding Tasks

Han Li, HanHaoNing Li, Ziqian Jiang +1

As coding agents advance from bounded software engineering tasks toward long horizon development, dynamic concurrency offers a promising way to scale complex development tasks. Und…

cs.SE2026

Complex Agents, Shallow Tests: Demystifying and Enhancing Test Adequacy of Agent Harness in the Wild

Yifan Xiong, Jingyi Ge, Zhenpeng Chen +1

LLM-based agentic systems are emerging as a new software paradigm. Modern agents are typically composed of backbone LLMs and a surrounding harness that serves as the operational so…

cs.AI2026

Mubric: Mutation Testing-Guided Rubric Generation for LLM Evaluation

Jiayuxuan Yang, Jie M. Zhang, Yiling Lou +1

Rubric-based evaluation is widely used to assess LLM-based systems by decomposing response quality into task-specific scoring criteria. However, automatically generating rubrics th…

cs.SE2026

SWE-Doctor: Guiding Software Engineering Agents with Runtime Diagnosis from Multi-Faceted Bug Reproduction Tests

Yaoqi Guo, Yang Liu, Jie M. Zhang +3

Large language model (LLM)-based software engineering agents are increasingly developed to resolve software issues by generating patches from issue reports and code repositories. B…

cs.SE2026

Reducing False Positives in Static Bug Detection with LLMs: An Empirical Study in Industry

Xueying Du, Jiayi Feng, Yi Zou +6

Static analysis tools (SATs) are widely adopted in both academia and industry for improving software quality, yet their practical use is often hindered by high false positive rates…

cs.SE2026

EET: Experience-Driven Early Termination for Cost-Efficient Software Engineering Agents

Yaoqi Guo, Ying Xiao, Jie M. Zhang +4

Software engineering (SE) agents powered by large language models are increasingly adopted in practice, yet they often incur substantial monetary cost. We introduce EET, an experie…