activity
20132025
most citedDocling Technical Report

12 citations · 17 across the 6 of their papers we have counts for

collaborators

7 papers

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.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…

cs.CL2024★ 12 cited

Docling Technical Report

Christoph Auer, Maksym Lysak, Ahmed Nassar +16

This technical report introduces Docling, an easy to use, self-contained, MIT-licensed open-source package for PDF document conversion. It is powered by state-of-the-art specialize…

cs.CL2023★ 4 cited

ESG Accountability Made Easy: DocQA at Your Service

Lokesh Mishra, Cesar Berrospi, Kasper Dinkla +11

We present Deep Search DocQA. This application enables information extraction from documents via a question-answering conversational assistant. The system integrates several techno…

cs.LG2021

Robust PDF Document Conversion Using Recurrent Neural Networks

Nikolaos Livathinos, Cesar Berrospi, Maksym Lysak +7

The number of published PDF documents has increased exponentially in recent decades. There is a growing need to make their rich content discoverable to information retrieval tools.…

cs.CE2014

eXamine: Exploring annotated modules in networks

Kasper Dinkla, Mohammed El-Kebir, Cristina-Iulia Bucur +4

Background: Biological networks have a growing importance for the interpretation of high-throughput omics data. Integrative network analysis makes use of statistical and combinator…

q-bio.MN2013

eXamine: a Cytoscape app for exploring annotated modules in networks

Kasper Dinkla, Mohammed El-Kebir, Cristina-Iulia Bucur +4

Background. Biological networks have growing importance for the interpretation of high-throughput "omics" data. Statistical and combinatorial methods allow to obtain mechanistic in…