107 citations · 140 across the 16 of their papers we have counts for
18 papers
DashAct: A Progressive Diagnostic Benchmark for GUI Agents in Interactive Dashboard Analysis
Chuhan Zhang, Qi Xie, Ziyue Wang +4
Interactive dashboards require users to reveal and connect evidence across stateful interactions. Although graphical user interface (GUI) agents could automate this process, existi…
BIRD-History: A Benchmark for History-Driven Text-to-SQL with Fine-Grained Knowledge Annotations
Yunfan Zhou, Qiming Shi, Yizhou Yang +2
While recent Large Language Model (LLM)-based text-to-SQL systems achieve impressive performance on standard benchmarks, they struggle when user queries implicitly rely on domain-s…
AdaLens: Interactive Storyline for Monitoring and Steering Long-Running Agentic Data Analysis
Yangtian Liu, Yan Miao, Shuhan Liu +4
Large language models are pushing data science toward increasingly autonomous and agentic workflows, with recent systems already supporting multi-step and long-running analyses. As…
Making Multimodal LLMs Reliable Chart Data Extractors: A Benchmark and Training Framework
Yuchen He, Peizhi Ying, Liqi Cheng +4
Chart data extraction, which reverse-engineers data tables from chart images, is essential for reproducibility, analysis, retrieval, and redesign. Existing interactive tools are re…
Crystalis: Progressive Nucleation and Semantic Annealing for Coordinated Multi-View Visualization Generation
Dazhen Deng, Zhaoping He, Xin Qian +3
Large language models (LLMs) can generate individual charts, but coordinated multi-view visualizations (CMVs), where views share data flows and cross-view interactions, remain out…
ProSPy: A Profiling-Driven SQL-Python Agentic Framework for Enterprise Text-to-SQL
Zhaorui Yang, Huawei Zheng, Sen Yang +14
Large language models have substantially advanced Text-to-SQL systems, yet applying them to enterprise-scale databases remains challenging. Real-world databases often contain large…
GraphTide: Augmenting Knowledge-Intensive Text with Progressive Nested Graph
Xin Qian, Dazhen Deng, Zhaoping He +3
Knowledge-intensive text usually contains fruitful entities and complex relationships, such as academic articles and scientific exposition. Reading and comprehending such texts oft…
KEditVis: A Visual Analytics System for Knowledge Editing of Large Language Models
Zhenning Chen, Hanbei Zhan, Yanwei Huang +4
Large Language Models (LLMs) demonstrate exceptional capabilities in factual question answering, yet they sometimes provide incorrect responses. To address this issue, knowledge ed…
Cerebra: Aligning Implicit Knowledge in Interactive SQL Authoring
Yunfan Zhou, Qiming Shi, Zhongsu Luo +5
LLM-driven tools have significantly lowered barriers to writing SQL queries. However, user instructions are often underspecified, assuming the model understands implicit knowledge,…
Do LLM-Driven Agents Exhibit Engagement Mechanisms? Controlled Tests of Information Load, Descriptive Norms, and Popularity Cues
Tai-Quan Peng, Yuan Tian, Songsong Liang +2
Large language models make agent-based simulation more behaviorally expressive, but they also sharpen a basic methodological tension: fluent, human-like output is not, by itself, e…
CycleChart: A Unified Consistency-Based Learning Framework for Bidirectional Chart Understanding and Generation
Dazhen Deng, Sen Yang, Yuchen He +2
Current chart-related tasks, such as chart generation (NL2Chart), chart schema parsing, chart data parsing, and chart question answering (ChartQA), are typically studied in isolati…
ReSpark: Leveraging Previous Data Reports as References to Generate New Reports with LLMs
Yuan Tian, Chuhan Zhang, Xiaotong Wang +5
Creating data reports is a labor-intensive task involving iterative data exploration, insight extraction, and narrative construction. A key challenge lies in composing the analysis…
NoteFlow: Leveraging Charts as Sight Glasses for Consistent and Continuous Data Flow Tracing
Yuan Tian, Dazhen Deng, Sen Yang +5
Computational notebooks offer a flexible environment for exploratory data analysis (EDA), but this flexibility often leads to disorganized and iterative execution of notebook cells…
RCInvestigator: Towards Better Investigation of Anomaly Root Causes in Cloud Computing Systems
Shuhan Liu, Yunfan Zhou, Lu Ying +9
Finding the root causes of anomalies in cloud computing systems quickly is crucial to ensure availability and efficiency since accurate root causes can guide engineers to take appr…
Understanding Nonlinear Collaboration between Human and AI Agents: A Co-design Framework for Creative Design
Jiayi Zhou, Renzhong Li, Junxiu Tang +4
Creative design is a nonlinear process where designers generate diverse ideas in the pursuit of an open-ended goal and converge towards consensus through iterative remixing. In con…
ChartGPT: Leveraging LLMs to Generate Charts from Abstract Natural Language
Yuan Tian, Weiwei Cui, Dazhen Deng +4
The use of natural language interfaces (NLIs) to create charts is becoming increasingly popular due to the intuitiveness of natural language interactions. One key challenge in this…
Relation-driven Query of Multiple Time Series
Shuhan Liu, Yuan Tian, Zikun Deng +4
Querying time series based on their relations is a crucial part of multiple time series analysis. By retrieving and understanding time series relations, analysts can easily detect…
Reviving Static Charts into Live Charts
Lu Ying, Yun Wang, Haotian Li +5
Data charts are prevalent across various fields due to their efficacy in conveying complex data relationships. However, static charts may sometimes struggle to engage readers and e…