most citedVOICE: Visual Oracle for Interaction, Conversation, and Explanation

3 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Benchmarking Vision-Language Models on Synapse and Neuron Proofreading in Connectomics

Yicong Li, Junjie Wang, Leander Lauenburg +5

We benchmarked vision-language models (VLMs) on the decisions annotators take when inspecting electron microscopy images in connectomics: synapse proofreading (presence and polarit…

cs.HC2026

How Spatial Biologists Direct and Verify AI-Assisted Analyses

Ella Hugie, Alexandra Irger, Chiara Schiller +3

Spatial biologists use visualization to assess computational analyses of tissue data. We examine how they direct and verify analyses when an AI agent performs this work. We synthes…

cs.HC2026

RaivenTracks: Branching Provenance for Conversational Visualization Workflows

Ella Hugie, Alexandra Irger, Grace Guo +4

As AI agents increasingly participate in scientific workflows, scientists are shifting from direct authorship toward oversight, inspection, and steering. LLM-driven visualization s…

cs.HC2026

Raiven: LLM-Based Visualization Authoring via Domain-Specific Language Mediation

Alexandra Irger, Ella Hugie, Minghao Guo +5

Visualization is central to scientific discovery, yet authoring tools remain split between information and scientific visualization, and expertise in one rarely transfers to the ot…

cs.HC2023★ 3 cited

VOICE: Visual Oracle for Interaction, Conversation, and Explanation

Donggang Jia, Alexandra Irger, Lonni Besancon +5

We present VOICE, a novel approach to science communication that connects large language models' (LLM) conversational capabilities with interactive exploratory visualization. VOICE…