Grounding synthetic personas in real-user artifacts aligns their feedback language and concerns with documented experts, but both synthetic conditions converge on a find-and-adapt frame and miss the image-modality preference that real experts showed.
Full-wave image reconstruction in transcranial photoacoustic computed tomography using a finite element method,
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YAC is a prototype system that uses a tool-calling multi-agent architecture to translate natural language into linked interactive visualizations and filters for biomedical data, with user-adjustable structured output and a domain-expert user study.
Derives reception operators and adjoints for acoustic boundary measurements by establishing equivalence between integral formulations and full-waveform approximations.
citing papers explorer
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Sycamore: Characterizing Synthetic Personas for Evaluating Genomics Visualization Retrieval
Grounding synthetic personas in real-user artifacts aligns their feedback language and concerns with documented experts, but both synthetic conditions converge on a find-and-adapt frame and miss the image-modality preference that real experts showed.
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YAC: Bridging Natural Language and Interactive Visual Exploration with Generative AI for Biomedical Data Discovery
YAC is a prototype system that uses a tool-calling multi-agent architecture to translate natural language into linked interactive visualizations and filters for biomedical data, with user-adjustable structured output and a domain-expert user study.
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A Full-waveform Approximation of Finite-Sized Acoustic Apertures: Forward and Adjoint Wavefields
Derives reception operators and adjoints for acoustic boundary measurements by establishing equivalence between integral formulations and full-waveform approximations.