The detailed schedule will be announced later. The conference will include the following talks:

• Human-centred Conversationally Explainable AI: 5 Challenges
  Alex Berman

• Recognizing Entailment: A Meta-inferential Study of Recognizing Textual Entailment
  Rasmus Blanck, Stergios Chatzikyriakidis & Bill Noble

• Zeugma: A Neuro-Symbolic System for Reasoning Over LLM-Generated Knowledge Graphs
  Stergios Chatzikyriakidis

• From Types to Vectors to Spiking neurons
  Robin Cooper, Jonathan Ginzburg, Staffan Larsson, Andy Lücking & Bill Noble

• Seeing and Saying: The Missing Context in V&L Models
  Simon Dobnik & John Kelleher

• Show, Tell, and Infer at Inference-Time
  Mehdi Ghanimifard & Simon Dobnik

• The Informative Speech Act: Linguistic Disambiguation on the Basis of Epistemic Probability of Interpretations
  Julian Grove, Jean-Philippe Bernardy & Christine Howes

• When is the Object More Than Its Name? The Effects of Context, Domain and Categories on Variation in Object Naming
  Nikolai Ilinykh & Ece Takmaz

• Disambiguation in Linguistic Evaluation Through Visual and Textual Context
  Hyewon Jang & Diego Frassinelli

• Learning and Representation: Between Deep Neural Networks and Human Cognition
  Shalom Lappin

• Working with Under-Resourced Languages in the Era of Large Language Models
  Sharid Loáiciga & Rolando Coto-Solano

• Three Conversationalists Walk Into a Bar… Humorous Puzzles for Dialogue Inference
  Vladislav Maraev, Ellen Breitholtz & Christine Howes

• Typicality is the Key Insight
  Asad Sayeed

• Ellipsis as Natural Language Inference: Can LLMs Infer Ellipsis Correctly?
  Symon Jory Stevens-Guille & Aleksandre Maskharashvili

• Computational Language Biomarkers: A Window into the Brain
  Charalambos Themistocleous