We are happy to announce the next online seminar in the Neurocognition, 
Language and Visual Processing (NLVP) series organized by the NLVP group and 
IDSAI at the University of Exeter. You can check the slides, videos of previous 
talks and the schedule for upcoming talks here: 
https://sites.google.com/view/neurocognit-lang-viz-group/seminars

Zoom meeting link: 
https://Universityofexeter.zoom.us/j/93707609239?pwd=ErfOgIy30fwkAH7V5iFFVgA0EC86QU.1
(Meeting ID: 937 0760 9239 Password: 259613)

***Seminar 1: Thursday, 12 Dec 2024, 16:00 to 17:00, BST***

Speaker: Dr Vered Shwartz (University of British Columbia)

Title: Navigating Cultural Adaptation of LLMs: Knowledge, Context, and 
Consistency

Abstract: Despite their amazing success, large language models and vision and 
language models suffer from several limitations. This talk focuses on one of 
these limitations: the models’ narrow Western, North American, or even 
US-centric lens, as a result of training on web text and images primarily from 
US-based users. As a result, users from diverse cultures that are interacting 
with these tools may feel misunderstood and experience them as less useful. 
Worse still, when such models are used in applications that make decisions 
about people’s lives, lack of cultural awareness may lead to models 
perpetuating stereotypes and reinforcing societal inequalities. In this talk, I 
will present a line of work from our lab aimed at quantifying and mitigating 
this bias.

Speaker's short bio:  Vered Shwartz is an Assistant Professor of Computer 
Science at the University of British Columbia, and a CIFAR AI Chair at the 
Vector Institute. Her research interests include commonsense reasoning, 
computational semantics and pragmatics, multimodal models, and cultural 
considerations in NLP. Previously, Vered was a postdoctoral researcher at the 
Allen Institute for AI (AI2) and the University of Washington, and received her 
PhD in Computer Science from Bar-Ilan University.

***Seminar 2: Thursday, 16 Jan 2025, 15:00 to 16:00, BST***

Speaker: Prof Roberto Navigli (Sapienza University of Rome)

Title: What's Behind Text? The Long, Challenging Path Towards a Unified 
Language-Independent Representation of Meaning

Abstract: In the era of Large Language Models (LLMs), the pursuit of a unified, 
language-independent representation of meaning remains both essential and 
complex. This talk revisits the rationale for advancing semantic understanding 
beyond the capabilities of LLMs and highlights the development of a large-scale 
multilingual inter-task resource like MOSAICo and the design of innovative 
methods that bridge word- and sentence-level meanings across languages. I will 
also explore how building a robust, multilingual framework for interpreting 
meaning with greater precision and depth enhances the quality and reliability 
of system outputs, including text generated by LLMs.

Speaker's short bio:  Roberto Navigli is Professor of Natural Language 
Processing at the Sapienza University of Rome, where he leads the Sapienza NLP 
Group. He has received two ERC grants on lexical and sentence-level 
multilingual semantics, highlighted among the 15 projects through which the ERC 
transformed science. He received several prizes, including two Artificial 
Intelligence Journal prominent paper awards and several outstanding/best paper 
awards from ACL. He is the co-founder of Babelscape, a successful deep-tech 
company which enables NLU in dozens of languages. He served as Associate Editor 
of the Artificial Intelligence Journal (2013-2020) and Program Co-Chair of 
ACL-IJCNLP 2021. He is a Fellow of ACL, ELLIS and EurAI and  currently serves 
as General Chair of ACL 2025.
 
Check past and upcoming seminars at the following url: 
https://sites.google.com/view/neurocognit-lang-viz-group/seminars.

If you want to follow future NLVP seminars, you are welcome to join our *Google 
group*: 
https://groups.google.com/g/neurocognition-language-and-vision-processing-group
 
Best wishes,
Hang Dong (https://computerscience.exeter.ac.uk/staff/hd524)
on behalf of the NLVP group 
(https://sites.google.com/view/neurocognit-lang-viz-group/members)
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