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Michele Dolfi

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2020 – today

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2024
[c8]
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  - conf/aaai/MishraBDAFBLLNV24
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  - https://dblp.org/rec/conf/aaai/MishraBDAFBLLNV24
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, Michele Dolfi, Peter W. J. Staar:
ESG Accountability Made Easy: DocQA at Your Service. AAAI 2024: 23814-23816
[i15]
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  - journals/corr/abs-2405-10725
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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, Elizabeth Fancher, Lauren M. Sanders, Sylvain V. Costes, Sergi Blanco-Cuaresma, Kelly E. Lockhart, Thomas Allen, Félix Grèzes, Megan Ansdell, Alberto Accomazzi, Yousef El-Kurdi, Davis Wertheimer, Birgit Pfitzmann, Cesar Berrospi Ramis, Michele Dolfi, Rafael Teixeira de Lima, Panagiotis Vagenas, S. Karthik Mukkavilli, Peter W. J. Staar, Sanaz Vahidinia, Ryan McGranaghan, Armin Mehrabian, Tsendgar Lee:
INDUS: Effective and Efficient Language Models for Scientific Applications. CoRR abs/2405.10725 (2024)
[i14]
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  - journals/corr/abs-2406-19102
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Lokesh Mishra, Sohayl Dhibi, Yusik Kim, Cesar Berrospi Ramis, Shubham Gupta, Michele Dolfi, Peter W. J. Staar:
Statements: Universal Information Extraction from Tables with Large Language Models for ESG KPIs. CoRR abs/2406.19102 (2024)
[i13]
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  - journals/corr/abs-2408-09869
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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, Shubham Gupta, Rafael Teixeira de Lima, Valéry Weber, Lucas Morin, Ingmar Meijer, Viktor Kuropiatnyk, Peter W. J. Staar:
Docling Technical Report. CoRR abs/2408.09869 (2024)
[i12]
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  - journals/corr/abs-2409-18164
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David Wood, Boris Lublinsky, Alexy Roytman, Shivdeep Singh, Abdulhamid Adebayo, Revital Eres, Mohammad Nassar, Hima Patel, S. Yousaf Shah, Constantin Adam, Petros Zerfos, Nirmit Desai, Daiki Tsuzuku, Takuya Goto, Michele Dolfi, Saptha Surendran, Paramesvaran Selvam, Sungeun An, Yuan Chi Chang, Dhiraj Joshi, Hajar Emami-Gohari, Xuan-Hong Dang, Yan Koyfman, Shahrokh Daijavad:
Data-Prep-Kit: getting your data ready for LLM application development. CoRR abs/2409.18164 (2024)
2023
[c7]
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  - conf/icdar/AuerNLDLS23
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Christoph Auer, Ahmed S. Nassar, Maksym Lysak, Michele Dolfi, Nikolaos Livathinos, Peter W. J. Staar:
ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents. ICDAR (2) 2023: 471-482
[i11]
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  - journals/corr/abs-2305-14962
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Christoph Auer, Ahmed S. Nassar, Maksym Lysak, Michele Dolfi, Nikolaos Livathinos, Peter W. J. Staar:
ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents. CoRR abs/2305.14962 (2023)
[i10]
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  - journals/corr/abs-2311-18481
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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, Michele Dolfi, Peter W. J. Staar:
ESG Accountability Made Easy: DocQA at Your Service. CoRR abs/2311.18481 (2023)
2022
[c6]
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  - conf/IEEEcloud/AuerDCRS22
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Christoph Auer, Michele Dolfi, André Carvalho, Cesar Berrospi Ramis, Peter W. J. Staar:
Delivering Document Conversion as a Cloud Service with High Throughput and Responsiveness. CLOUD 2022: 363-373
[c5]
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  - conf/kdd/PfitzmannADNS22
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Birgit Pfitzmann, Christoph Auer, Michele Dolfi, Ahmed S. Nassar, Peter W. J. Staar:
DocLayNet: A Large Human-Annotated Dataset for Document-Layout Segmentation. KDD 2022: 3743-3751
[c4]
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  - conf/nips/AlfassyAHHHSPDA22
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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, Leonid Karlinsky:
FETA: Towards Specializing Foundational Models for Expert Task Applications. NeurIPS 2022
[i9]
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  - journals/corr/abs-2206-00785
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Christoph Auer, Michele Dolfi, André Carvalho, Cesar Berrospi Ramis, Peter W. J. Staar:
Delivering Document Conversion as a Cloud Service with High Throughput and Responsiveness. CoRR abs/2206.00785 (2022)
[i8]
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  - journals/corr/abs-2206-01062
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Birgit Pfitzmann, Christoph Auer, Michele Dolfi, Ahmed S. Nassar, Peter W. J. Staar:
DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis. CoRR abs/2206.01062 (2022)
[i7]
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  - journals/corr/abs-2209-03648
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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, Leonid Karlinsky:
FETA: Towards Specializing Foundation Models for Expert Task Applications. CoRR abs/2209.03648 (2022)
2021
[c3]
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  - conf/aaai/LivathinosBLKNC21
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Nikolaos Livathinos, Cesar Berrospi, Maksym Lysak, Viktor Kuropiatnyk, Ahmed S. Nassar, André Carvalho, Michele Dolfi, Christoph Auer, Kasper Dinkla, Peter W. J. Staar:
Robust PDF Document Conversion using Recurrent Neural Networks. AAAI 2021: 15137-15145
[i6]
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  - journals/corr/abs-2102-09395
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Nikolaos Livathinos, Cesar Berrospi, Maksym Lysak, Viktor Kuropiatnyk, Ahmed S. Nassar, André Carvalho, Michele Dolfi, Christoph Auer, Kasper Dinkla, Peter W. J. Staar:
Robust PDF Document Conversion Using Recurrent Neural Networks. CoRR abs/2102.09395 (2021)

2010 – 2019

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2019
[i5]
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  - journals/corr/abs-1907-08400
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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:
An Information Extraction and Knowledge Graph Platform for Accelerating Biochemical Discoveries. CoRR abs/1907.08400 (2019)
2018
[c2]
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Peter W. J. Staar, Michele Dolfi, Christoph Auer, Costas Bekas:
Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale. KDD 2018: 774-782
[i4]
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  - journals/corr/abs-1805-09687
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Peter W. J. Staar, Michele Dolfi, Christoph Auer, Costas Bekas:
Corpus Conversion Service: A machine learning platform to ingest documents at scale [Poster abstract]. CoRR abs/1805.09687 (2018)
[i3]
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  - journals/corr/abs-1806-02284
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Peter W. J. Staar, Michele Dolfi, Christoph Auer, Costas Bekas:
Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale. CoRR abs/1806.02284 (2018)
[i2]
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  - journals/ercim/DolfiASB18
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Michele Dolfi, Christoph Auer, Peter W. J. Staar, Costas Bekas:
Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale. ERCIM News 2018(114) (2018)
2017
[c1]
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  - conf/ppam/IstrateBDSB17
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Roxana Istrate, Panagiotis Kl. Barkoutsos, Michele Dolfi, Peter W. J. Staar, Costas Bekas:
Exploring Graph Analytics with the PCJ Toolbox. PPAM (2) 2017: 308-317
2014
[j1]
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  - journals/cphysics/DolfiBKKEKGT14
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Michele Dolfi, Bela Bauer, Sebastian Keller, Alexandr Kosenkov, Timothée Ewart, Adrian Kantian, Thierry Giamarchi, Matthias Troyer:
Matrix product state applications for the ALPS project. Comput. Phys. Commun. 185(12): 3430-3440 (2014)
[i1]
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  - journals/corr/DolfiGHIPRTZCFS14
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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:
A model project for reproducible papers: critical temperature for the Ising model on a square lattice. CoRR abs/1401.2000 (2014)

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