18 citations · 19 across the 14 of their papers we have counts for
7 papers · 1 filter
No One-Size-Fits-All: Adaptive Code Editing with Feature-Based Strategy Selection
Jun Wan, Zhongxin Liu, Dajun Chen +3
Large language models have shown strong potential in automating code editing (CE) tasks, yet most existing systems rely on a fixed CE strategy (i.e., one-step, search-replace, and…
Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures
Changsheng Zhou, Dajun Chen, Zhitao Shen +3
Explaining why aggregated measures change is a critical challenge in data analytics that existing systems struggle to address. While current attribution methods exist, they lack a…
Towards Scalable Lightweight GUI Agents via Multi-role Orchestration
Ziwei Wang, Junjie Zheng, Leyang Yang +7
Autonomous Graphical User Interface (GUI) agents powered by Multimodal Large Language Models (MLLMs) enable digital automation on end-user devices. While scaling both parameters an…
Securing the Floor and Raising the Ceiling: A Merging-based Paradigm for Multi-modal Search Agents
Zhixiang Wang, Jingxuan Xu, Dajun Chen +3
Recent advances in Vision-Language Models (VLMs) have motivated the development of multi-modal search agents that can actively invoke external search tools and integrate retrieved…
EGSS: Entropy-guided Stepwise Scaling for Reliable Software Engineering
Chenhui Mao, Yuanting Lei, Zhixiang Wei +6
Agentic Test-Time Scaling (TTS) has delivered state-of-the-art (SOTA) performance on complex software engineering tasks such as code generation and bug fixing. However, its practic…
SVRepair: Structured Visual Reasoning for Automated Program Repair
Jincheng Wang, Liwei Luo, Xiaoxuan Tang +5
Large language models (LLMs) have recently been applied to Automated Program Repair (APR), yet most existing approaches remain unimodal and fail to use diagnostic signals contained…
Learning Adaptive Parallel Execution for Efficient Code Localization
Ke Xu, Siyang Xiao, Ming Liang +6
Code localization constitutes a key bottleneck in automated software development pipelines. While concurrent tool execution can enhance discovery speed, current agents demonstrate…