**** We apologize for the multiple copies of this email. In case you are
already registered to the next webinar, you do not need to register
again. ***
Dear colleague,
We are happy to announce the next webinar in the Language Technology
webinar series organized by The HiTZ Chair of Artificial Intelligence
and Language Technology (https://hitz.eus/katedra). We are organizing
one seminar every month. This will be the final event for this cycle,
but we will return with a new series next October. Have a great summer!
Speaker: Marco Valentino (University of Sheffield)
Title: Reconciling Plausible and Formal Reasoning in Large Language Models
Date: Thursday, July 2, 2026 - 15:00 CET
Summary: A persistent challenge in AI is the effective integration of
plausible and formal reasoning - the former concerning the plausibility
and contextual relevance of arguments, the latter focusing on their
logical and structural validity. Large Language Models (LLMs) are not
immune to such a challenge. By virtue of their extensive pre-training,
LLMs can generate plausible and linguistically fluent arguments, but
struggle with the systematicity and consistency required for robust
logical reasoning. At the same time, LLMs offer new opportunities to
study and overcome this intrinsic conflict. This talk will focus on such
opportunities, presenting different research directions aimed at
reconciling plausible and formal reasoning, including LLM-driven
neuro-symbolic integration, quasi-symbolic abstractions, and latent
circuit disentanglement. The final part of the talk will discuss the
persisting challenges in achieving truly unified reasoning and outline
possible directions for future research in the field.
Bio: Marco is a Lecturer in Artificial Intelligence and Applications of
AI in the Natural Language Processing (NLP) group at the University of
Sheffield. Prior to Sheffield, he was a member of the Neuro-Symbolic AI
Group at the Idiap Research Institute in Switzerland, and obtained a PhD
in Computer Science from the University of Manchester. His research
focuses on developing AI systems that can use explanation as a core
mechanism for learning and reasoning, investigating the integration of
neural and symbolic AI methods. Moreover, he is interested in developing
methodologies to interpret, control, and evaluate Large Language Models
(LLMs), with a focus on disentangling knowledge acquisition from
abstract logical reasoning, and enabling out-of-distribution,
out-of-domain generalisation.
Registration: https://www.hitz.eus/webinar_izenematea
You can view the videos of previous webinars and the schedule for
upcoming webinars here: http://www.hitz.eus/webinars
If you cannot attend this seminar, but you want to be informed of the
following HiTZ webinars, please complete this registration form instead:
http://www.hitz.eus/webinar_info
Best wishes,
The HiTZ Chair of Artificial Intelligence and Language Technology
P.S: HiTZ will not grant any type of certificate for attendance at these
webinars.
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