6 citations · 7 across the 2 of their papers we have counts for
6 papers
Understanding Tool-Mediated Interaction Failures in Agentic GUI Software: An Empirical Study
Yuchen Shao, Wenjing Liu, Yuheng Huang +6
Large language model (LLM) agents increasingly complete tasks through live graphical user interfaces (GUIs). Because the model cannot directly operate the GUI, these systems often…
CheckerBench: Can Long-Horizon Agents Synthesize Static-Analysis Checkers?
Hang He, Li Wang, Hao Chen +9
Static-analysis checker synthesis requires agents to interpret a defect specification, inspect a repository, implement analyzer-specific logic, and refine the checker through repea…
Harmful SFT Leaves a Continuous Trace in LLM Checkpoint Updates
Ziqun Bao, Xinyu Zhang, Yuchen Shao +1
Safety auditing of post-trained large language models typically relies on model behavior, requiring model execution and depending on the coverage of available evaluations. This wor…
Understanding, Detecting, and Repairing Real-World In-Context-Learning-Based Text-to-SQL Errors
Jiawei Shen, Chengcheng Wan, Ruoyi Qiao +6
Large language models (LLMs) have been adopted for text-to-SQL tasks, utilizing their in-context learning (ICL) capability to translate natural language questions into SQL queries.…
Understanding the Fundamental Design Decisions of Retrieval-Augmented Generation Systems
Shengming Zhao, Yuchen Shao, Yuheng Huang +4
Retrieval-Augmented Generation (RAG) has emerged as a critical technique for enhancing large language model (LLM) capabilities. However, practitioners face significant challenges w…
Are LLMs Correctly Integrated into Software Systems?
Yuchen Shao, Yuheng Huang, Jiawei Shen +3
Large language models (LLMs) provide effective solutions in various application scenarios, with the support of retrieval-augmented generation (RAG). However, developers face challe…