arXiv AI By Elaine Lau, Thanuka Udumulla, Lee Izhaki-Tavor, Francisco Guzm\'an, Nicholas Magazine, Jonas Mueller

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

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VIALS is a new visual question‑answering benchmark comprising 161 interpretation tasks based on real scientific artifacts such as gel blots, microscopy images, plasmid maps, flow cytometry plots, and molecular structures. The benchmark focuses on the types of images encountered in everyday biotech workflows rather than polished figures from publications. Current state‑of‑the‑art vision‑language models struggle to interpret these domain‑specific images, whereas scientists with relevant expertise find the tasks straightforward.

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arXiv AI
Aug 17

A Pathway to General-Purpose Scientific AI: Multimodal Comprehension of Scientific Images

arXiv:2608. 14075v1 Announce Type: new Abstract: Scientific figures and tables encode essential experimental evidence, yet remain difficult for digital libraries and multimodal AI systems to retrieve and interpret.

By Jennifer D'Souza, Fahad Ahmed, Cecilia Andrea Bustamante Andrade, Lina Frolova, Poorani Gnanasambandan, Dilshad Hussain, Muhammad Uzair Khan, Nkembeng Kevin Nkengfoa, Paul Praveen J., Fabio Priante, Sjoerd Franciscus van der Werf, Thomas Frederik Jan van Roeden
arXiv AI
Sep 2

From Terminology to Diagrams: Visual-Instruction Generation for Scientific Diagram Understanding

The paper introduces SciGram, a large-scale dataset of 194K scientific diagrams paired with 1.4M visual instructions generated through a terminology‑grounded pipeline that extracts domain concepts, synthesizes facts, and retrieves relevant diagrams. Models fine‑tuned on SciGram show significant gains on diagram‑centric benchmarks such as TQA, ScienceQA, and AI2D, and when combined with existing models like LLaVA OneVision, set new state‑of‑the‑art performance. The authors release both the dataset and trained models to support further research in scientific diagram understanding.

By Raul Ortega, Jos\'e Manuel G\'omez-P\'erez