26 citations · 60 across the 12 of their papers we have counts for
12 papers
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…
STAGE-Claw: Automated State-based Agent Benchmarking for Realistic Scenarios
Sirui Liang, Bohan Yu, Peiyu Wang +8
Large language models are increasingly used to power personal agents for everyday applications, but evaluating these agents remains a challenge. Existing benchmarks still rely on s…
ChipLingo: A Systematic Training Framework for Large Language Models in EDA
Lei Li, Xingwen Yu, Jianguo Ni +4
With the rapid advancement of semiconductor technology, Electronic Design Automation (EDA) has become an increasingly knowledge-intensive and document-driven engineering domain. Al…
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…
GameUIAgent: An LLM-Powered Framework for Automated Game UI Design with Structured Intermediate Representation
Wei Zeng, Fengwei An, Zhen Liu +1
Game UI design requires consistent visual assets across rarity tiers yet remains a predominantly manual process. We present GameUIAgent, an LLM-powered agentic framework that trans…
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…
The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution
Junlong Li, Wenshuo Zhao, Jian Zhao +18
Real-world language agents must handle complex, multi-step workflows across diverse Apps. For instance, an agent may manage emails by coordinating with calendars and file systems,…
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…
CoLadder: Supporting Programmers with Hierarchical Code Generation in Multi-Level Abstraction
Ryan Yen, Jiawen Zhu, Sangho Suh +2
Programmers increasingly rely on Large Language Models (LLMs) for code generation. However, misalignment between programmers' goals and generated code complicates the code evaluati…