3 citations · 6 across the 11 of their papers we have counts for
12 papers · 1 filter
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…
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…
Linking Heterogeneous Data with Coordinated Agent Flows for Social Media Analysis
Shifu Chen, Dazhen Deng, Zhihong Xu +4
Social media platforms generate volumes of heterogeneous data, capturing user behaviors, textual content, and network structures. Analyzing such data is crucial for understanding p…
ProTAL: A Drag-and-Link Video Programming Framework for Temporal Action Localization
Yuchen He, Jianbing Lv, Liqi Cheng +3
Temporal Action Localization (TAL) aims to detect the start and end timestamps of actions in a video. However, the training of TAL models requires a substantial amount of manually…
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…