Jekyll2026-06-12T15:40:48+00:00https://dig.telecom-paris.fr/feed.xmlDIG | NewsResearch group at Télécom Paris, Institut Polytechnique de Paris, France. Our research interests span knowledge graphs, language models, foundational models, learning over tabular data, graph mining, and stream mining. Simon Razniewski and the Knowledge-Aware AI Team Visit DIG2026-06-08T00:00:00+00:002026-06-08T00:00:00+00:00https://dig.telecom-paris.fr/news/SimonRazniewskiVisitThe team of Knowledge-Aware AI of TU Dresden visited us for a two-day workshop to explore the synergies between language models and knowledge bases.

Come visit us again!

]]>Julia Stoyanovich’s Talk on Uncertainty in the Data Engineering Pipeline2026-06-02T00:00:00+00:002026-06-02T00:00:00+00:00https://dig.telecom-paris.fr/news/JuliaStoyanovichWe were happy to host Julia Stoyanovich, director of the Center for Responsible AI at New York University, in the DIG seminar for her talk on Uncertainty in the Data Engineering Pipeline: From Imputation to Explanation.

Thank you for coming by, Julia!

]]>Capucine Brillet Joins DIG as a PhD Student2026-06-02T00:00:00+00:002026-06-02T00:00:00+00:00https://dig.telecom-paris.fr/news/CapucineWe’re happy to welcome Capucine Brillet, who joins the DIG team as a new PhD student!

She will work on language models and knowledge bases, inspired by cognitive science. Capucine graduated with a Master’s in Mathematics and its Applications from Université Paris Cité, and joins us from ENS, where she worked on understanding representational collapse in neural networks and the brain.

Welcome to the team, Capucine!

]]>Robert Wrembel’s Talk on Data Integration2026-05-19T00:00:00+00:002026-05-19T00:00:00+00:00https://dig.telecom-paris.fr/news/RobertTalkWe were happy to host Robert Wrembel from Poznan University of Technology (PUT) for an inspiring talk on Data Integration: Remaining Challenges and Research Paths.

Abstract: Data integration (DI) has been a cornerstone of computer science research for decades, resulting in a few established reference architectures. They generally fall into three categories: virtual (federated and mediated), physical (data warehouse), and hybrid (data lake, data lakehouse, and data mesh). Regardless of the paradigm, these architectures depend on an integration layer, implemented by means of sophisticated software designed to orchestrate and execute DI processes. The integration layer is responsible for ingesting data from various sources (typically heterogeneous and distributed) and for homogenizing data into formats suitable for future processing and analysis. On the one hand, in all business domains, large volumes of highly heterogeneous data are produced, e.g., medical systems, smart cities, smart agriculture, which require further advancements in the data integration technologies. On the other hand, the widespread adoption of artificial intelligence (AI) solutions is now extending towards DI, offering alternative solutions, opening new research paths, and generating new open problems. Emerging paradigms, such as Data Spaces and the Model Context Protocol, further advance DI. This talk will then present (1) overview the research field of DI, (3) highlight remaining challenges, and (3) outline ML/AI solutions for DI. The findings presented in the talk are based on my experience in running research and development DI projects for various business entities.

Short Biography: Robert Wrembel (PhD, Dr. Habil.) is a professor in the Faculty of Computing and Telecommunications at Poznan University of Technology (PUT), Poland. He received his habilitation in 2008, specializing in database systems and data warehouses. His primary research includes data integration, data quality, databases, data warehouses, and data lakes. He held a few administrative roles at PUT, including two terms as deputy dean of the Faculty of Computing and Management (2008–2012) and the Faculty of Computing (2012–2016). Since Jan 2023, he has chaired the Data Processing Technologies research group at PUT.

]]>Papers accepted to IJCAI 2026 demo track2026-05-18T00:00:00+00:002026-05-18T00:00:00+00:00https://dig.telecom-paris.fr/news/IJCAIDemoCongratulations to our researchers on having two papers accepted at the demo track of IJCAI-ECAI 2026!

  • “LELA: An End-to-end LLM-based Entity Linking Framework with Zero-shot Domain Adaptation”. Samy Haffoudhi, Nikola Dobričić, Fabian Suchanek and Nils Holzenberger Link to the paper:https://suchanek.name/work/publications/ijcai-2026-lela.pdf

  • “Neuro-Symbolic Logical Reasoning with Textual Entailment”. Zacchary Sadeddine and Fabian M. Suchanek Link to the paper:https://suchanek.name/work/publications/ijcai-2026-vanessa.pdf

]]>Paper accepted at ICML 20262026-05-07T00:00:00+00:002026-05-07T00:00:00+00:00https://dig.telecom-paris.fr/news/icmlCongratulations to our researchers on having a paper accepted at ICML 2026!

  • “Tailoring Strictly Proper Scoring Rules for Downstream Tasks: An Application to Causal Inference”. Roman Plaud, Alexandre Perez-Lebel, Antoine Saillenfest, Thomas Bonald, Marine Le Morvan, Gaël Varoquaux and Matthieu Labeau Link to the paper: https://hal.science/hal-05643379
]]>DIG Team Co-Organizes the HiParis Symposium 20262026-04-23T00:00:00+00:002026-04-23T00:00:00+00:00https://dig.telecom-paris.fr/news/HiParisWe are excited to announce that the DIG team will co-organize the HiParis Symposium on Generative AI for Biochemistry and Health!

For more details, refer to the official event link: https://hi-paris.fr/research/symposium/

]]>DIG Team Co-Organizes the AKBC Workshop at EMNLP 20262026-04-22T00:00:00+00:002026-04-22T00:00:00+00:00https://dig.telecom-paris.fr/news/AKBCWe are excited to announce that the DIG team will co-organize the 10th workshop on Automated Knowledge Base Construction (AKBC 2026)! It will take place at EMNLP 2026 in Budapest, and accepts vision, regular, and challenge papers.

For more details, refer to the official Workshop Link: https://www.akbc.ws/2026/.

]]>Elena Simperl Insightful Talk on Knowledge Engineering Assistants2026-04-21T00:00:00+00:002026-04-21T00:00:00+00:00https://dig.telecom-paris.fr/news/ElenaWe were happy to host Elena Simperl from King’s College London for an inspiring talk on Designing Better Knowledge Engineering Assistants.

Abstract: Knowledge engineering focuses on the creation and stewardship of knowledge‑based systems. As a field, it occupies a unique niche between software engineering, which involves crafting software that represents knowledge computationally, and AI, where software can reason upon knowledge representations to emulate human thought. Like many areas of knowledge work, the field is being reshaped by generative AI. This brings new opportunities to address long‑standing challenges of scale and inclusivity, while also raising concerns about accuracy, bias, and the responsible use of automation. In this talk, I will explore recent work in AI and human computer interaction that examines how to design better knowledge engineering assistants.

Biography: Elena Simperl is a Professor of Computer at King’s College London and the Director of Research for the Open Data Institute (ODI). She is a Fellow of the British Computer Society and the Royal Society of Arts, and a Hans Fischer Senior Fellow. Elena’s work is at the intersection between AI and social computing. She features in the top 100 most influential scholars in knowledge engineering of the last decade and in the Women in AI 2000 ranking. She is the president of the Semantic Web Sciences Association.

]]>Mehwish Alam Successfully Defends Her Habilitation2026-04-20T00:00:00+00:002026-04-20T00:00:00+00:00https://dig.telecom-paris.fr/news/MehwishHDRCongratulations to Mehwish Alam for her successful Habilitation defense entitled “The Knowledge in Neurosymbolic Artificial Intelligence”！

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