HAIChart: Human and AI Paired Visualization System
Summary: HAIChart: an RL-based human–AI visualization system leveraging Monte Carlo Graph Search and a composite reward to auto-generate high-quality chart candidates. Adds an active “visualization hints” mechanism—top-k hint selection proven NP-hard with an efficient solver—to iteratively incorporate user feedback and significantly boost recall and hit@k versus prior human- and AI-driven tools. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yupeng Xie
- 2. Yuyu Luo
- 3. Guoliang Li
- 4. Nan Tang
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,666 | The Dawn of Natural Language to SQL: Are We Fully Ready? | 2024 | VLDB | 6.8606092e-05 |
| 9,481 | Data Imputation with Limited Data Redundancy Using Data Lakes | 2025 | VLDB | 4.3300131e-05 |
| 10,185 | MultiVis-Agent: A Multi-Agent Framework with Logic Rules for Reliable and Comprehensive Cross-Modal Data Visualization | 2026 | SIGMOD | 4.1905499e-05 |
| 10,790 | Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models | 2025 | VLDB | 4.1905499e-05 |
| 10,835 | LASEK: LLM-Assisted Style Exploration Kit for Geospatial Data | 2025 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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