VIALS: A Benchmark for Visual Interpretation of Artifacts in the Life Sciences

arXiv:2608.21357 · cs.AI · Submitted 2026-08-21 · Read on arXiv

cs.AI

Submitted: 2026-08-21

Updated: 2026-09-19

Code: https://github.com/Handshake-AI-Research/VIALS

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 72× in this paper · explained in 2 episodes
• Accuracy — 25× in this paper · explained in 1 episode
• Vision-language models — 7× in this paper · explained in 2 episodes
• LLM judge — 5× in this paper · explained in 2 episodes
• Feature Selection — 4× in this paper · explained in 4 episodes
• Failure Modes — 3× in this paper · explained in 3 episodes
• Multimodal Reasoning — 3× in this paper · explained in 5 episodes
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Core — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 2× in this paper · explained in 3 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Parsimony — 1× in this paper · explained in 2 episodes
• Quantifying Uncertainty — 1× in this paper · explained in 5 episodes

Sources

• MMBU: A Massive Multi-modal Biomedical Understanding Benchmark to Probe the Perception Capabilities of Vision-Language Models
• PathVQA: 30000+ Questions for Medical Visual Question Answering
• Measuring short-form factuality in large language models
• BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents

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