Abstract:
Time is central to how we understand the world, shaping how we
interpret events, construct narratives, and reason about cause and
effect. In this talk, I will examine how well large language models
handle temporal reasoning -— an essential yet under-explored aspect of
language intelligence. I will discuss our recent advances in
incorporating temporal awareness into language models, including
approaches to time-aware representation learning, retrieval from
evolving document collections, and the development of new resources for
training and evaluation. I will also introduce temporal
reasoning-oriented QA and retrieval benchmarks that highlight the
challenges of retrieving time-sensitive information and addressing
complex temporal questions.
Mini-bio:
Adam Jatowt is a Full Professor at the Department of Computer
Science of the University of Innsbruck, Austria. He also serves as a
Deputy Head of the Digital Science Center at the University of
Innsbruck. He has received his Ph.D. degree in Information Science &
Technology from the University of Tokyo in 2005, and then worked at
Kyoto University for 14 years as an Assistant and an Associate
Professor. His research interests lie in the intersection of natural
language processing and information retrieval. Adam Jatowt is a
recipient of the Friedrich Wilhelm Bessel Research Award by the Humboldt
Society and the International Excellence Fellowship from the Karlsruhe
Institute of Technology (KIT). He is also on the editorial board of
IP&M, JASIST, IJDL, and JIIS journals, as well as he regularly serves as
a Senior PC member or Area Chair of SIGIR, WSDM, CIKM, ECIR, ECAI,
SIGIR-AP, COLING and ECML/PKDD conferences.
Adam Jatowt is participating in the iVisit Program:
IRISA has funding available to invite foreign researchers (for short-term visits).
Annual call for applications