18 citations · 21 across the 9 of their papers we have counts for
4 papers · 1 filter
Calibration is the Bottleneck: An Action-Class Diagnostic of Multi-Turn Tool-Calling
Kangjia Zhao, Jiajun Li, Haozhan Shen +8
Multi-turn tool calling is a core evaluation scenario for large language model (LLM) agents. On public tool-calling benchmarks, open-weight models now approach or even surpass clos…
Knowledge-Guided Synthetic Bug Feedback for LLM-Based Unit Test Generation
Ziheng Wang, Maike Li, Chen Zhi
Large language models (LLMs) have opened new opportunities for unit test generation, but executable tests do not necessarily reveal real defects. This paper studies how historical…
EpiDroid: Dependency-Guided Recomposition for Deep State Discovery in Mobile GUI Testing
Jiahui Song, Jiaxin Zhi, Kangjia Zhao +6
The increasing scale and complexity of mobile applications make automated GUI exploration essential for software quality assurance. However, existing methods often neglect state de…
CodeGlance: Understanding Code Reasoning Challenges in LLMs through Multi-Dimensional Feature Analysis
Yunkun Wang, Xuanhe Zhang, Junxiao Han +2
In modern software development, developers frequently need to understand code behavior at a glance -- whether reviewing pull requests, debugging issues, or navigating unfamiliar co…