18 citations · 20 across the 11 of their papers we have counts for
11 papers
Vibe-GUIDE: A Graph-based User Interface in IDEs for Oversight in Vibe Coding
Chifang Chou, Sam Yu-Te Lee, Rudrajit Choudhuri +1
In agentic coding, developers shift from implementing changes themselves to specifying intent, evaluating the agent's work, and making approval decisions. However, delegating imple…
A Design Study on Voice-based Interaction for Immersive Network Visualization and Analysis
Sam Yu-Te Lee, Hsin-Ai Chen, Sarah Yuniar +2
Visual network analysis leverages network visualization authoring techniques to facilitate sensemaking, serendipitous discovery, and hypothesis verification on network data. Howeve…
VArify: A Visual Analytics System for Verifying Knowledge Enhanced Large Language Model Responses in Food Science
Sam Yu-Te Lee, Yan To Linus Lam, Manami Nakagawa +1
Graph Retrieval-Augmented Generation (GraphRAG) enables Large Language Models (LLMs) to leverage structured, domain-specific knowledge graph databases for factually grounded respon…
Vibe Visualizing: How Visualization Novices Try (and Fail) to Generate and Interpret Visualizations with Conversational AI
Sam Yu-Te Lee, Yun-Hsin Kuo, Chifang Chou +3
Conversational AI has enabled users to generate and interpret visualizations through natural language, significantly lowering the technical barrier to entry. The increased accessib…
APEX-SWE
Abhi Kottamasu, Chirag Mahapatra, Sam Lee +10
We introduce the AI Productivity Index for Software Engineering (APEX-SWE), a benchmark for assessing whether frontier AI models can execute economically valuable software engineer…
VizCopilot: Fostering Appropriate Reliance on Enterprise Chatbots with Context Visualization
Sam Yu-Te Lee, Jingya Chen, Albert Calzaretto +4
Enterprise chatbots show promise in supporting knowledge workers in information synthesis tasks by retrieving context from large, heterogeneous databases before generating answers.…
VIDEE: Visual and Interactive Decomposition, Execution, and Evaluation of Text Analytics with Intelligent Agents
Sam Yu-Te Lee, Chenyang Ji, Shicheng Wen +3
Text analytics has traditionally required specialized knowledge in Natural Language Processing (NLP) or text analysis, which presents a barrier for entry-level analysts. Recent adv…
Visual Text Mining with Progressive Taxonomy Construction for Environmental Studies
Sam Yu-Te Lee, Cheng-Wei Hung, Mei-Hua Yuan +1
Environmental experts have developed the DPSIR (Driver, Pressure, State, Impact, Response) framework to systematically study and communicate key relationships between society and t…
Towards Dataset-scale and Feature-oriented Evaluation of Text Summarization in Large Language Model Prompts
Sam Yu-Te Lee, Aryaman Bahukhandi, Dongyu Liu +1
Recent advancements in Large Language Models (LLMs) and Prompt Engineering have made chatbot customization more accessible, significantly reducing barriers to tasks that previously…
HINTs: Sensemaking on large collections of documents with Hypergraph visualization and INTelligent agents
Sam Yu-Te Lee, Kwan-Liu Ma
Sensemaking on a large collection of documents (corpus) is a challenging task often found in fields such as market research, legal studies, intelligence analysis, political science…
NOVA: A visual interface for assessing polarizing media coverage
Keshav Dasu, Sam Yu-Te Lee, Ying-Cheng Chen +1
Within the United States, the majority of the populace receives their news online. U.S mainstream media outlets both generate and influence the news consumed by U.S citizens. Many…