A model project for reproducible papers: critical temperature for the Ising model on a square lattice. - Michele Dolfi; Jan Gukelberger; Andreas Hehn; J. Imriska; K. Pakrouski; Troels F. Rønnow; Matthias Troyer; I. N. Zintchenko; Fernando Seabra Chirigati; Juliana Freire; Dennis E. Shasha (CoRR, 2014)

Matrix product state applications for the ALPS project. - Michele Dolfi; Bela Bauer; Sebastian Keller; Alexandr Kosenkov; Timothée Ewart; Adrian Kantian; Thierry Giamarchi; Matthias Troyer (Comput. Phys. Commun., 2014)

Exploring Graph Analytics with the PCJ Toolbox. - Roxana Istrate; Panagiotis Kl. Barkoutsos; Michele Dolfi; Peter W. J. Staar; Costas Bekas (PPAM (2), 2017)

Corpus Conversion Service: A machine learning platform to ingest documents at scale [Poster abstract]. - Peter W. J. Staar; Michele Dolfi; Christoph Auer; Costas Bekas (CoRR, 2018)

Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale. - Michele Dolfi; Christoph Auer; Peter W. J. Staar; Costas Bekas (ERCIM News, 2018)

An Information Extraction and Knowledge Graph Platform for Accelerating Biochemical Discoveries. - Matteo Manica; Christoph Auer; Valéry Weber; Federico Zipoli; Michele Dolfi; Peter W. J. Staar; Teodoro Laino; Costas Bekas; Akihiro Fujita; Hiroki Toda; Shuichi Hirose; Yasumitsu Orii (CoRR, 2019)

Robust PDF Document Conversion using Recurrent Neural Networks. - Nikolaos Livathinos; Cesar Berrospi; Maksym Lysak; Viktor Kuropiatnyk; Ahmed S. Nassar; André Carvalho; Michele Dolfi; Christoph Auer; Kasper Dinkla; Peter W. J. Staar (AAAI, 2021)

Delivering Document Conversion as a Cloud Service with High Throughput and Responsiveness. - Christoph Auer; Michele Dolfi; André Carvalho; Cesar Berrospi Ramis; Peter W. J. Staar (CLOUD, 2022)

DocLayNet: A Large Human-Annotated Dataset for Document-Layout Segmentation. - Birgit Pfitzmann; Christoph Auer; Michele Dolfi; Ahmed S. Nassar; Peter W. J. Staar (KDD, 2022)

FETA: Towards Specializing Foundational Models for Expert Task Applications. - Amit Alfassy; Assaf Arbelle; Oshri Halimi; Sivan Harary; Roei Herzig; Eli Schwartz; Rameswar Panda; Michele Dolfi; Christoph Auer; Peter W. J. Staar; Kate Saenko; Rogério Feris; et al. (NeurIPS, 2022)

DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis. - Birgit Pfitzmann; Christoph Auer; Michele Dolfi; Ahmed S. Nassar; Peter W. J. Staar (CoRR, 2022)

FETA: Towards Specializing Foundation Models for Expert Task Applications. - Amit Alfassy; Assaf Arbelle; Oshri Halimi; Sivan Harary; Roei Herzig; Eli Schwartz; Rameswar Panda; Michele Dolfi; Christoph Auer; Kate Saenko; Peter W. J. Staar; Rogério Feris; et al. (CoRR, 2022)

ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents. - Christoph Auer; Ahmed S. Nassar; Maksym Lysak; Michele Dolfi; Nikolaos Livathinos; Peter W. J. Staar (ICDAR (2), 2023)

ESG Accountability Made Easy: DocQA at Your Service. - Lokesh Mishra; Cesar Berrospi; Kasper Dinkla; Diego Antognini; Francesco Fusco; Benedikt Bothur; Maksym Lysak; Nikolaos Livathinos; Ahmed S. Nassar; Panagiotis Vagenas; Lucas Morin; Christoph Auer; et al. (AAAI, 2024)

Data-Prep-Kit: getting your data ready for LLM application development. - David Wood; Boris Lublinsky; Alexy Roytman; Shivdeep Singh; Constantin Adam; Abdulhamid Adebayo; Sungeun An; Yuan Chi Chang; Xuan-Hong Dang; Nirmit Desai; Michele Dolfi; Hajar Emami-Gohari; et al. (IEEE Big Data, 2024)

INDUS: Effective and Efficient Language Models for Scientific Applications. - Bishwaranjan Bhattacharjee; Aashka Trivedi; Masayasu Muraoka; Muthukumaran Ramasubramanian; Takuma Udagawa; Iksha Gurung; Nishan Pantha; Rong Zhang; Bharath Dandala; Rahul Ramachandran; Manil Maskey; Kaylin M. Bugbee; et al. (EMNLP (Industry Track), 2024)

INDUS: Effective and Efficient Language Models for Scientific Applications. - Bishwaranjan Bhattacharjee; Aashka Trivedi; Masayasu Muraoka; Muthukumaran Ramasubramanian; Takuma Udagawa; Iksha Gurung; Rong Zhang; Bharath Dandala; Rahul Ramachandran; Manil Maskey; Kaylin M. Bugbee; Mike Little; et al. (CoRR, 2024)

Statements: Universal Information Extraction from Tables with Large Language Models for ESG KPIs. - Lokesh Mishra; Sohayl Dhibi; Yusik Kim; Cesar Berrospi Ramis; Shubham Gupta; Michele Dolfi; Peter W. J. Staar (CoRR, 2024)

Docling Technical Report. - Christoph Auer; Maksym Lysak; Ahmed S. Nassar; Michele Dolfi; Nikolaos Livathinos; Panos Vagenas; Cesar Berrospi Ramis; Matteo Omenetti; Fabian Lindlbauer; Kasper Dinkla; Lokesh Mishra; Yusik Kim; et al. (CoRR, 2024)

Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems. - Rafael Teixeira de Lima; Shubham Gupta; Cesar Berrospi Ramis; Lokesh Mishra; Michele Dolfi; Peter W. J. Staar; Panagiotis Vagenas (COLING (Industry), 2025)

Docling: An Efficient Open-Source Toolkit for AI-driven Document Conversion. - Nikolaos Livathinos; Christoph Auer; Maksym Lysak; Ahmed Nassar; Michele Dolfi; Panos Vagenas; Cesar Berrospi Ramis; Matteo Omenetti; Kasper Dinkla; Yusik Kim; Shubham Gupta; Rafael Teixeira de Lima; et al. (CoRR, 2025)

Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence. - Leonid Karlinsky; Assaf Arbelle; Abraham Daniels; Ahmed Nassar; Amit Alfassi; Bo Wu 018; Eli Schwartz; Dhiraj Joshi; Jovana Kondic; Nimrod Shabtay; Pengyuan Li 001; Roei Herzig; et al. (CoRR, 2025)

SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion. - Ahmed Nassar; Andrés Marafioti; Matteo Omenetti; Maksym Lysak; Nikolaos Livathinos; Christoph Auer; Lucas Morin; Rafael Teixeira de Lima; Yusik Kim; A. Said Gurbuz; Michele Dolfi; Miquel Farré; et al. (CoRR, 2025)