181 citations · 325 across the 23 of their papers we have counts for
10 papers · 1 filter
Interaction-Augmented Instruction: Modeling the Synergy of Prompts and Interactions in Human-GenAI Collaboration
Leixian Shen, Yifang Wang, Huamin Qu +2
Text prompt is the most common way for human-generative AI (GenAI) communication. Though convenient, it is challenging to convey fine-grained and referential intent. One promising…
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…
ChartMark: A Structured Grammar for Chart Annotation
Yiyu Chen, Yifan Wu, Shuyu Shen +4
Chart annotations enhance visualization accessibility but suffer from fragmented, non-standardized representations that limit cross-platform reuse. We propose ChartMark, a structur…
SceneLoom: Communicating Data with Scene Context
Lin Gao, Leixian Shen, Yuheng Zhao +3
In data-driven storytelling contexts such as data journalism and data videos, data visualizations are often presented alongside real-world imagery to support narrative context. How…
How Does Empirical Research Facilitate Creation Tool Design? A Data Video Perspective
Leixian Shen, Leni Yang, Haotian Li +3
Empirical research in creative design deepens our theoretical understanding of design principles and perceptual effects, offering valuable guidance for innovating creation tools. H…
ChartCards: A Chart-Metadata Generation Framework for Multi-Task Chart Understanding
Yifan Wu, Lutao Yan, Leixian Shen +3
The emergence of Multi-modal Large Language Models (MLLMs) presents new opportunities for chart understanding. However, due to the fine-grained nature of these tasks, applying MLLM…
Prompting Generative AI with Interaction-Augmented Instructions
Leixian Shen, Haotian Li, Yifang Wang +2
The emergence of generative AI (GenAI) models, including large language models and text-to-image models, has significantly advanced the synergy between humans and AI with not only…
nvBench 2.0: Resolving Ambiguity in Text-to-Visualization through Stepwise Reasoning
Tianqi Luo, Chuhan Huang, Leixian Shen +5
Text-to-Visualization (Text2VIS) enables users to create visualizations from natural language queries, making data insights more accessible. However, Text2VIS faces challenges in i…
Reflecting on Design Paradigms of Animated Data Video Tools
Leixian Shen, Haotian Li, Yun Wang +1
Animated data videos have gained significant popularity in recent years. However, authoring data videos remains challenging due to the complexity of creating and coordinating diver…
Composing Data Stories with Meta Relations
Haotian Li, Lu Ying, Leixian Shen +3
To facilitate the creation of compelling and engaging data stories, AI-powered tools have been introduced to automate the three stages in the workflow: analyzing data, organizing f…