arXiv CS AI#tech
VAMPS: Visual-Assisted Mathematical Problem Solving Benchmarktranslating…
Factuality: 90/100USACornell University
arXiv:2606.04244v1 Announce Type: new
Abstract: Multimodal large language models are increasingly capable of complex reasoning, yet their performance often degrades when they must externalize a problem through a tool and then reason over the tool's output, specifically when they rely on visual aids. This gap is especially important because real engineering and scientific workflows often rely on visualization tools for analysis, validation, and decision-making. To study this discrepancy, we intr