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20232026
most citedMolGrapher: Graph-based Visual Recognition of Chemical Structures

19 citations · 39 across the 8 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CV2025

Advanced Layout Analysis Models for Docling

Nikolaos Livathinos, Christoph Auer, Ahmed Nassar +16

This technical report documents the development of novel Layout Analysis models integrated into the Docling document-conversion pipeline. We trained several state-of-the-art object…

cs.CV2025

SubGrapher: Visual Fingerprinting of Chemical Structures

Lucas Morin, Gerhard Ingmar Meijer, Valéry Weber +2

Automatic extraction of chemical structures from scientific literature plays a crucial role in accelerating research across fields ranging from drug discovery to materials science.…

cs.CV2025★ 2 cited

MarkushGrapher: Joint Visual and Textual Recognition of Markush Structures

Lucas Morin, Valéry Weber, Ahmed Nassar +4

The automated analysis of chemical literature holds promise to accelerate discovery in fields such as material science and drug development. In particular, search capabilities for…

cs.CV2025

SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion

Ahmed Nassar, Andres Marafioti, Matteo Omenetti +10

We introduce SmolDocling, an ultra-compact vision-language model targeting end-to-end document conversion. Our model comprehensively processes entire pages by generating DocTags, a…

cs.CL2025★ 1 cited

Docling: An Efficient Open-Source Toolkit for AI-driven Document Conversion

Nikolaos Livathinos, Christoph Auer, Maksym Lysak +14

We introduce Docling, an easy-to-use, self-contained, MIT-licensed, open-source toolkit for document conversion, that can parse several types of popular document formats into a uni…