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Benjamin Piwowarski

1st grade researcher in CNRS

Benjamin Piwowarski is a 1st grade researcher at the French National Centre for Scientific Research (CNRS), working within the Machine Learning and Information Access (MLIA) team at the Institute of Intelligent Systems and Robotics (ISIR) at Sorbonne Université.23 His research primarily focuses on Natural Language Processing, Information Retrieval, and Machine Learning.14

Education and Career

  • PhD in Computer Science from Université Paris 6, completed in 2003.
  • Master's in Applied Mathematics and Artificial Intelligence and Pattern Recognition from Université Paris 6 in 1999.
  • Bachelor's degrees in Mathematics applied to Social Sciences and Psychology from Université Paris 5, both completed in 1997.2

Piwowarski has been a researcher at CNRS since 2011, and prior to that, he held a postdoctoral position at Glasgow University from April 2008 to August 2011.5 He has also contributed significantly to the field through numerous publications and research projects, with over 4,000 citations on Google Scholar.1

Notable Contributions

Some of his notable works include research on user engagement, multilingual summarization, and the application of quantum theory to information retrieval.1 His work has been recognized in various international conferences and journals, highlighting his impact on computational linguistics and related fields.

Highlights

May 27 · linkedin

We offer three fully funded PhD positions to study the political biases of large language models in various application settings (simplification and paraphrasing, summarization and question answering, translation): How do we define them? How do we measure them? How do we mitigate them?

The starting date for these positions is October 2024.

Depending on their interests and preferences, the successful candidates will either join :

  • the MLIA team of ISIR: https://www.isir.upmc.fr/
  • the Computational Linguistic group of STIH: https://lnkd.in/eYdam5qD

Both labs are affiliated with Sorbonne Université and located in the center of Paris.

Applications should be submitted only via this link, where more information about these positions is available: https://lnkd.in/ehyHa8ct

If you are interested, please submit your application before June 15th, including the following elements:

• Detailed CV, • Letter of motivation including elements of bibliography or personal achievements related to a research activity (e.g. master project, research internship subject, etc.), • Details of transcripts (especially for master students), • 2 recommendation letters

Interviews will be conducted online between June 10th and June 24th, 2024.

Gaël Lejeune (STIH) - Benjamin Piwowarski & François Yvon (ISIR/MLIA)

Apr 30 · linkedin

CFP TPDL 2024 – deadline extension (Long 7 May / Short 14 May)

Website: https://tpdl2024.nuk.si/

Deadline extension (please note that you still have to submit your title/abstract)

Submission deadline for Full Papers (abstract and title): 30 April 2024 (AoT) Submission deadline for Full Papers: 7 May 2024 (AoT) Submission deadline for Short Papers (abstract and title): 7 May 2024 (AoT) Submission deadline for Short Papers: 14 May 2024 (AoT) Call for Full Research Papers

TPDL is an international forum focused on digital libraries and their associated technical, practical, and social issues. The conference encompasses the many meanings of the term “digital libraries,” embracing the whole spectrum of the LAM (Library, Archive, and Museum) community; operational information systems with all manner of digital content; new means of selecting, collecting, organizing, and distributing digital content; and theoretical models of information media, including document genres and electronic publishing.

In 2024, TPDL is expanding its scope to prominently include Document Analysis/Recognition and Information Retrieval, acknowledging the vital role of those research areas in the creation (using digitization and information extraction from heterogeneous sources), access, discovery, and dissemination of digital content. This includes exploring innovative approaches to document image analysis and recognition, search algorithms, data retrieval, user engagement, and personalized content delivery within digital libraries, making these two areas central themes for this year’s conference.

Topics in 2024 include but are not limited to, theories, models, standards, tools, and applications on the following themes:

Publishing Science Data Management and Discovery Monitoring and Assessment of Science Knowledge Creation and Dissemination Digital Humanities and Cultural Heritage Human-Computer Interaction in Digital Libraries Information Retrieval Document Analysis and Recognition Document Image Analysis and Recognition for Digital Libraries Physical and Logical Layout Analysis Historical Document Analysis Document Semantics Extraction Natural Language Processing for Document Analysis

Program chairs

Apostolos Antonacopoulos, University of Salford, United Kingdom Annika Hinze, University of Waikato, New Zealand Benjamin Piwowarski, CNRS / Sorbonne Université, France

Related Questions

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Benjamin Piwowarski
Benjamin Piwowarski, photo 1
Benjamin Piwowarski, photo 2
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Location

Paris, Île-de-France, France