arxiv
PublishedJuly 20, 2026 at 4:00 AM
SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents
Publisher summary· verbatim
arXiv:2603.29139v3 Announce Type: replace Abstract: Recent advances in large language models (LLMs) have enabled agentic systems to translate natural-language intent into executable scientific visualization (SciVis) tasks. Despite rapid progress, the community lacks a principled and reproducible ben
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivBeyond a Single Direction: Chain-of-Thought Disrupts Simple Steering of Refusal4harxivRobustSpeechFlow: Learning Robust Text-to-Speech Trajectories via Augmentation-based Contrastive Flow Matching4harxivVarRate: Training-Free Variable-Rate KV Cache Compression for Long-Context LLMs4harxivAdaptive Multi-Step Lookahead Decoding for Diffusion Language Models4hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗