Historians use visualizations in five roles—primary-source, evidence-synthesis, communicative, confirmative, and exploratory—but epistemological and practical barriers limit broader adoption.
IEEE Transactions on Visualization and Computer Graphics , mendeley-tags =
3 Pith papers cite this work. Polarity classification is still indexing.
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Context-mediated domain adaptation treats user modifications to AI artifacts as implicit domain specifications that reshape LLM-powered multi-agent reasoning, demonstrated via the Seedentia system which extracted 46 domain knowledge entries from expert edits.
VArify introduces a tree visualization to support human verification of GraphRAG evidence for LLM responses in food science, evaluated in a study with six domain experts.
citing papers explorer
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How Historians Use Visualization: A Corpus-Backed Taxonomy and Analysis for Cross-Disciplinary Practice
Historians use visualizations in five roles—primary-source, evidence-synthesis, communicative, confirmative, and exploratory—but epistemological and practical barriers limit broader adoption.
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Context-Mediated Domain Adaptation in Multi-Agent Sensemaking Systems
Context-mediated domain adaptation treats user modifications to AI artifacts as implicit domain specifications that reshape LLM-powered multi-agent reasoning, demonstrated via the Seedentia system which extracted 46 domain knowledge entries from expert edits.
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VArify: A Visual Analytics System for Verifying Knowledge Enhanced Large Language Model Responses in Food Science
VArify introduces a tree visualization to support human verification of GraphRAG evidence for LLM responses in food science, evaluated in a study with six domain experts.