LabOPBench: A Multimodal Benchmark for Evidence-Grounded Laboratory Decision Making

arXiv:2610.19780 · cs.AI · Submitted 2026-10-14 · Read on arXiv

cs.AI

Submitted: 2026-10-14

Updated: 2026-10-14

Comments: 24 pages, 7 figures, including appendix

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

Terminology

• Benchmark — 1× in this paper · explained in 2 episodes

Sources

• LAB-Bench: Measuring Capabilities of Language Models for Biology Research
• RxnBench: A Multimodal Benchmark for Evaluating Large Language Models on Chemical Reaction Understanding from Scientific Literature
• Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables
• Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• Agents' Last Exam
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems