5 papers
InterFlow: Designing Unobtrusive AI to Empower Interviewers in Semi-Structured Interviews
Yi Wen, Yu Zhang, Sriram Suresh +3
Semi-structured interviews are a common method in qualitative research. However, conducting high-quality interviews is cognitively demanding and requires strong interviewing skills…
DALL: Data Labeling via Data Programming and Active Learning Enhanced by Large Language Models
Guozheng Li, Ao Wang, Shaoxiang Wang +4
Deep learning models for natural language processing rely heavily on high-quality labeled datasets. However, existing labeling approaches often struggle to balance label quality wi…
Visualization Generation with Large Language Models: An Evaluation
Xinyu Wang, Chenwei Liang, Shunyuan Zheng +4
The frequent need for analysts to create visualizations to derive insights from data has driven extensive research into the generation of natural Language to Visualization (NL2VIS)…
InReAcTable: LLM-Powered Interactive Visual Data Story Construction from Tabular Data
Gerile Aodeng, Guozheng Li, Yunshan Feng +3
Insights in tabular data capture valuable patterns that help analysts understand critical information. Organizing related insights into visual data stories is crucial for in-depth…
SimVecVis: A Dataset for Enhancing MLLMs in Visualization Understanding
Can Liu, Chunlin Da, Xiaoxiao Long +3
Current multimodal large language models (MLLMs), while effective in natural image understanding, struggle with visualization understanding due to their inability to decode the dat…