6 papers
IGenBench: Benchmarking the Reliability of Text-to-Infographic Generation
Yinghao Tang, Xueding Liu, Boyuan Zhang +13
Infographics are composite visual artifacts that combine data visualizations with textual and illustrative elements to communicate information. While recent text-to-image (T2I) mod…
GenesisGeo: Technical Report
Minfeng Zhu, Zi Wang, Sizhe Ji +8
Recent neuro-symbolic geometry theorem provers have made significant progress on Euclidean problems by coupling neural guidance with symbolic verification. However, most existing s…
ConceptViz: A Visual Analytics Approach for Exploring Concepts in Large Language Models
Haoxuan Li, Zhen Wen, Qiqi Jiang +7
Large language models (LLMs) have achieved remarkable performance across a wide range of natural language tasks. Understanding how LLMs internally represent knowledge remains a sig…
IntuiTF: MLLM-Guided Transfer Function Optimization for Direct Volume Rendering
Yiyao Wang, Bo Pan, Ke Wang +8
Direct volume rendering (DVR) is a fundamental technique for visualizing volumetric data, where transfer functions (TFs) play a crucial role in extracting meaningful structures. Ho…
SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference
Yinghao Tang, Tingfeng Lan, Xiuqi Huang +2
Existing Large Language Model (LLM) serving systems prioritize maximum throughput. They often neglect Service Level Objectives (SLOs) such as Time to First Token (TTFT) and Time Pe…
DataLab: A Unified Platform for LLM-Powered Business Intelligence
Luoxuan Weng, Yinghao Tang, Yingchaojie Feng +18
Business intelligence (BI) transforms large volumes of data within modern organizations into actionable insights for informed decision-making. Recently, large language model (LLM)-…