19 citations · 73 across the 32 of their papers we have counts for
8 papers · 1 filter
Ensembling LLM-Induced Decision Trees for Explainable and Robust Error Detection
Mengqi Wang, Jianwei Wang, Qing Liu +5
Error detection (ED), which aims to identify incorrect or inconsistent cell values in tabular data, is important for ensuring data quality. Recent state-of-the-art ED methods lever…
QUT: A Unit Testing Framework for Quantum Subroutines
Mykhailo V. Klymenko, Thong Hoang, Hoa Nguyen +6
We present the architectural design and prototype implementation of QUT (Quantum Unit Testing), a framework for unit testing of quantum subroutines. The framework is developed with…
PTMPicker: Facilitating Efficient Pretrained Model Selection for Application Developers
Pei Liu, Terry Zhuo, Jiawei Deng +4
The rapid emergence of pretrained models (PTMs) has attracted significant attention from both Deep Learning (DL) researchers and downstream application developers. However, selecti…
LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements
Jianwei Wang, Mengqi Wang, Yinsi Zhou +5
Health, Safety, and Environment (HSE) compliance assessment demands dynamic real-time decision-making under complicated regulations and complex human-machine-environment interactio…
A Case Study of Scalable Content Annotation Using Multi-LLM Consensus and Human Review
Mingyue Yuan, Jieshan Chen, Zhenchang Xing +2
Content annotation at scale remains challenging, requiring substantial human expertise and effort. This paper presents a case study in code documentation analysis, where we explore…
SeeAction: Towards Reverse Engineering How-What-Where of HCI Actions from Screencasts for UI Automation
Dehai Zhao, Zhenchang Xing, Qinghua Lu +2
UI automation is a useful technique for UI testing, bug reproduction, and robotic process automation. Recording user actions with an application assists rapid development of UI aut…
FactFlow: Automatic Fact Sheet Generation and Customization from Tabular Dataset via AI Chain Design & Implementation
Minh Duc Vu, Jieshan Chen, Zhenchang Xing +3
With the proliferation of data across various domains, there is a critical demand for tools that enable non-experts to derive meaningful insights without deep data analysis skills.…
Explore-Construct-Filter: An Automated Framework for Rich and Reliable API Knowledge Graph Construction
Yanbang Sun, Qing Huang, Xiaoxue Ren +3
The API Knowledge Graph (API KG) is a structured network that models API entities and their relations, providing essential semantic insights for tasks such as API recommendation, c…