5 papers
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…
PEACE: Towards Efficient Project-Level Efficiency Optimization via Hybrid Code Editing
Xiaoxue Ren, Jun Wan, Yun Peng +5
Large Language Models (LLMs) have demonstrated significant capability in code generation, but their potential in code efficiency optimization remains underexplored. Previous LLM-ba…
NES: An Instruction-Free, Low-Latency Next Edit Suggestion Framework Powered by Learned Historical Editing Trajectories
Xinfang Chen, Siyang Xiao, Xianying Zhu +6
Code editing is a frequent yet cognitively demanding task in software development. Existing AI-powered tools often disrupt developer flow by requiring explicit natural language ins…
Aggregated Structural Representation with Large Language Models for Human-Centric Layout Generation
Jiongchao Jin, Shengchu Zhao, Dajun Chen +2
Time consumption and the complexity of manual layout design make automated layout generation a critical task, especially for multiple applications across different mobile devices.…
Issue Localization via LLM-Driven Iterative Code Graph Searching
Zhonghao Jiang, Xiaoxue Ren, Meng Yan +3
Issue solving aims to generate patches to fix reported issues in real-world code repositories according to issue descriptions. Issue localization forms the basis for accurate issue…