26 citations · 60 across the 12 of their papers we have counts for
7 papers · 1 filter
IntentLint: Supporting Intent Scaffolding and Prompt-time Linting in Human-AI Collaborative Data Analysis
Felicia Li Feng, Jian Zhao, Anamaria Crisan
In human-AI collaborative data analysis, as analyses rapidly evolve, the artifacts meant to capture shared understanding often become incomplete or difficult to interpret, leading…
MindTrellis: Co-Creating Knowledge Structures with AI through Interactive Visual Exploration
Xiang Li, Cara Li, Emily Kuang +2
Knowledge workers face increasing challenges in synthesizing information from multiple documents into structured conceptual understanding. This process is inherently iterative: use…
NoteEx: Interactive Visual Context Manipulation for LLM-Assisted Exploratory Data Analysis in Computational Notebooks
Mohammad Hasan Payandeh, Lin-Ping Yuan, Jian Zhao
Computational notebooks have become popular for Exploratory Data Analysis (EDA), augmented by LLM-based code generation and result interpretation. Effective LLM assistance hinges o…
NeuroSync: Intent-Aware Code-Based Problem Solving via Direct LLM Understanding Modification
Wenshuo Zhang, Leixian Shen, Shuchang Xu +4
Conversational LLMs have been widely adopted by domain users with limited programming experience to solve domain problems. However, these users often face misalignment between thei…
Code Shaping: Iterative Code Editing with Free-form AI-Interpreted Sketching
Ryan Yen, Jian Zhao, Daniel Vogel
We introduce the concept of code shaping, an interaction paradigm for editing code using free-form sketch annotations directly on top of the code and console output. To evaluate th…
To Search or To Gen? Exploring the Synergy between Generative AI and Web Search in Programming
Ryan Yen, Nicole Sultanum, Jian Zhao
The convergence of generative AI and web search is reshaping problem-solving for programmers. However, the lack of understanding regarding their interplay in the information-seekin…
CoPrompt: Supporting Prompt Sharing and Referring in Collaborative Natural Language Programming
Li Feng, Ryan Yen, Yuzhe You +3
Natural language (NL) programming has become more approachable due to the powerful code-generation capability of large language models (LLMs). This shift to using NL to program enh…