9 citations · 17 across the 13 of their papers we have counts for
8 papers · 1 filter
SQLucid: Grounding Natural Language Database Queries with Interactive Explanations
Yuan Tian, Jonathan K. Kummerfeld, Toby Jia-Jun Li +1
Though recent advances in machine learning have led to significant improvements in natural language interfaces for databases, the accuracy and reliability of these systems remain l…
LADICA: A Large Shared Display Interface for Generative AI Cognitive Assistance in Co-Located Team Collaboration
Zheng Zhang, Weirui Peng, Xinyue Chen +2
Large shared displays, such as digital whiteboards, are useful for supporting co-located team collaborations by helping members perform cognitive tasks such as brainstorming, organ…
Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning
Simret Araya Gebreegziabher, Kuangshi Ai, Zheng Zhang +2
Active Learning (AL) allows models to learn interactively from user feedback. This paper introduces a counterfactual data augmentation approach to AL, particularly addressing the s…
A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions
Ningzhi Tang, Meng Chen, Zheng Ning +4
The increasing use of large language model (LLM)-powered code generation tools, such as GitHub Copilot, is transforming software engineering practices. This paper investigates how…
MIMOSA: Human-AI Co-Creation of Computational Spatial Audio Effects on Videos
Zheng Ning, Zheng Zhang, Jerrick Ban +4
Spatial audio offers more immersive video consumption experiences to viewers; however, creating and editing spatial audio often expensive and requires specialized equipment and ski…
"I'm categorizing LLM as a productivity tool": Examining ethics of LLM use in HCI research practices
Shivani Kapania, Ruiyi Wang, Toby Jia-Jun Li +2
Large language models are increasingly applied in real-world scenarios, including research and education. These models, however, come with well-known ethical issues, which may mani…
SPICA: Interactive Video Content Exploration through Augmented Audio Descriptions for Blind or Low-Vision Viewers
Zheng Ning, Brianna L. Wimer, Kaiwen Jiang +5
Blind or Low-Vision (BLV) users often rely on audio descriptions (AD) to access video content. However, conventional static ADs can leave out detailed information in videos, impose…
Insights into Natural Language Database Query Errors: From Attention Misalignment to User Handling Strategies
Zheng Ning, Yuan Tian, Zheng Zhang +2
Querying structured databases with natural language (NL2SQL) has remained a difficult problem for years. Recently, the advancement of machine learning (ML), natural language proces…