7 citations · 7 across the 6 of their papers we have counts for
6 papers
InSight: A Benchmark for Agentic Claim Verification in Interactive Visualizations
Maeve Hutchinson, Syed Mahbubul Huq, Mohammad Albinhassan +3
Vision Language Models have demonstrated remarkable proficiency in interpreting static visual artifacts, but modern data analysis is inherently dynamic, requiring the active interr…
Attention-Guided Saliency Maps for Interpreting Visualization Literacy in VLMs
Maeve Hutchinson, Abderrahmane Wassim Mehdaoui, Pranava Madhyastha
Understanding how vision-language models (VLMs) interpret data visualizations remains an open problem, and is increasingly important as these models are used for analytical tasks w…
Chart Question Answering from Real-World Analytical Narratives
Maeve Hutchinson, Radu Jianu, Aidan Slingsby +2
We present a new dataset for chart question answering (CQA) constructed from visualization notebooks. The dataset features real-world, multi-view charts paired with natural languag…
Capturing Visualization Design Rationale
Maeve Hutchinson, Radu Jianu, Aidan Slingsby +2
Prior natural language datasets for data visualization have focused on tasks such as visualization literacy assessment, insight generation, and visualization generation from natura…
LLM-Assisted Visual Analytics: Opportunities and Challenges
Maeve Hutchinson, Radu Jianu, Aidan Slingsby +1
We explore the integration of large language models (LLMs) into visual analytics (VA) systems to transform their capabilities through intuitive natural language interactions. We su…
The Misclassification Likelihood Matrix: Some Classes Are More Likely To Be Misclassified Than Others
Daniel Sikar, Artur Garcez, Robin Bloomfield +6
This study introduces the Misclassification Likelihood Matrix (MLM) as a novel tool for quantifying the reliability of neural network predictions under distribution shifts. The MLM…