3 papers
cs.IR2026
Boosting Text-to-Chart Retrieval through Training with Synthesized Semantic Insights
Yifan Wu, Lutao Yan, Yizhang Zhu +6
Text-to-chart retrieval, enabling users to find relevant charts via natural language queries, has gained significant attention. However, evaluating models in real-world business in…
cs.CL2025
ChartCards: A Chart-Metadata Generation Framework for Multi-Task Chart Understanding
Yifan Wu, Lutao Yan, Leixian Shen +3
The emergence of Multi-modal Large Language Models (MLLMs) presents new opportunities for chart understanding. However, due to the fine-grained nature of these tasks, applying MLLM…
cs.CL2024
ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering
Yifan Wu, Lutao Yan, Leixian Shen +3
Chart question answering (ChartQA) tasks play a critical role in interpreting and extracting insights from visualization charts. While recent advancements in multimodal large langu…