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8 March 2025
Happy Women's Day to the Invaluable Women of Archimedes.
Artificial Intelligence
Data Science
Algorithms
archimedes-Artificial Intelligence, Data Science, Algorithms-greece
greece
Algorithms
Data Science
Artificial Intelligence
[Archimedes Seminar Series] Uncertainty in NLP: Quantification, interpretation, evaluation and beyond
Dates
2024-07-03 11:00 - 13:00
Venue
Artemidos 1 - Amphitheater
Title: Uncertainty in NLP: Quantification, interpretation, evaluation and beyond.
Presenter: Prof Chrysoula (Chryssa) Zerva (Instituto Superior Tecnico, Portugal)
Abstract: As the popularity, availability (and size) of language models keep increasing, so do their applications to different tasks, rendering them ubiquitous in modern society. This, in turn, brings forward the question of reliability. We know models don’t always “know what they don’t know” and may end up generating seemingly convincing answers that are entirely wrong. Hence, being able to quantify the uncertainty over their predictions is a key step in the path towards the reliability of language models.
This talk will discuss the challenges of uncertainty estimation for natural language processing, emphasising aspects such as multiple sources of uncertainty and limited access to the model parameters (black box models) as well as aspects of interpretation and evaluation. I will focus on generation and evaluation tasks, using machine translation as the main paradigm, and discuss how the conformal prediction framework can be leveraged to provide meaningful confidence intervals with statistical guarantees, while also allowing us to calibrate our confidence to obtain more interpretable and fair uncertainty representations.
Bio: Dr. Chrysoula Zerva is an Assistant Professor in Artificial Intelligence at the Instituto Superior Técnico in Lisbon, Portugal and a researcher at the Lisbon branch of the Instituto de Telecomunicações. She is a member of the ELLIS network as well as a member of LUMLIS, the Lisbon ELLIS unit.
Dr. Chrysoula Zerva obtained her PhD in 2019 from the University of Manchester working on “Automated identification of textual uncertainty” under the supervision of Prof. Sophia Ananiadou. She was subsequently awarded the EPSRC doctoral prize fellowship to work on (mis)information propagation in the health and science domains. In 2021, she joined the Instituto de Telecomunicações in Lisbon as a post-doc researcher for the DeepSPIN project led by Prof. André Martins, focussing on uncertainty quantification, machine translation and quality estimation.
She is co-PI in the Centre of Responsible AI, a PRR-funded initiative aiming to promote AI technology that is trustworthy, privacy-preserving, sustainable and fair, contributing towards a more equal society. She is also participating in the UTTER project, which aims to advance transcription and translation for extended reality models, where she leads the work related to Adaptable and context-aware models. Overall, her research interests lie in the areas of machine learning (ML) and natural language processing (NLP). In more detail, she is interested in topics of uncertainty (both in models and data), fairness, contextualization and explainability and is keen on exploring multilingual and multimodal setups along the aforementioned directions.
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Vision
To position Greece as a leading player in AI and Data Science
Mission
To build an AI Excellence Hub in Greece where the international research community can connect, groundbreaking ideas can thrive, and the next generation of scientists emerges, shaping a brighter future for Greece and the world
Welcome to ARCHIMEDES, a vibrant research hub connecting the global AI and Data Science research community fostering groundbreaking research in Greece and beyond. Its dedicated core team, comprising lead researchers, affiliated researchers, Post-Docs, PhDs and interns, is committed to advancing basic and applied research in Artificial Intelligence and its supporting disciplines, including Algorithms, Statistics, Learning Theory, and Game Theory organized around 8 core research areas. By collaborating with Greek and Foreign Universities and Research Institutes, ARCHIMEDES disseminates its research findings fostering knowledge exchange and providing enriching opportunities for students. Leveraging AI to address real-world challenges, ARCHIMEDES promotes innovation within the Greek ecosystem and extends its societal impact. Established in January 2022, as a research unit of the Athena Research Center with support from the Committee Greece 2021, ARCHIMEDES is funded for its first four years by the EU Recovery and Resilience Facility (RRF).
Archimedes and the Biomedical Research Foundation Share Latest Findings in AI and Medicine
4 March 2025
Archimedes and the Biomedical Research Foundation of the Academy of Athens successfully hosted a special collaborative session at the Panhellenic Working Group Seminars of the Hellenic Society of Cardiology. This session focused on innovative applications of artificial intelligence in medicine, with a particular emphasis on advancements in cardiology. Held on Friday, February 7, 2025, in Room MC2 of the Megaron Athens International Conference Centre, the event brought together leading experts to explore how artificial intelligence is transforming cardiovascular medicine.
Archimedes Reaches Milestone of 200 Publications
12 February 2025
Archimedes is proud to announce that its researchers have published over 200 scientific publications in top-tier conferences (NeurIPS, ICLR, ICML) and journals.Archimedes maintains a vibrant scientific community of over 130 researchers, including more than 60 senior researchers (faculty members from Greece and abroad), 12 postdoctoral fellows, and 55 PhD students, along with over 20 undergraduate interns from various disciplines.
Happy International Greek Language Day!
9 February 2025
Today, we celebrate the historical, cultural, and linguistic significance of the Greek language. While Standard Modern Greek often takes center stage, we at Archimedes - AI and Data Science Research Hub recognize the impressive diversity and great cultural significance of its numerous dialects. These dialects present both exciting opportunities and complex challenges for AI and Large Language Models (LLMs) because each one of them presents unique linguistic features and all of them are low resourced. That’s why we’re using cutting-edge AI to document, digitize, and analyze these invaluable linguistic treasures, ensuring their preservation and accessibility for generations to come.
Two Research Positions in Data Stream Management Systems & Big Data Management
7 February 2025
We are pleased to announce the availability of two research positions in data stream management systems and big data management, to be co-supervised by Assistant Professor Odysseas Papapetrou from the Eindhoven University of Technology (TU/e) in the Netherlands and Professor Minos Garofalakis from the Technical University of Crete in Greece.
The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.
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