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feralvam committed May 29, 2024
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70 changes: 70 additions & 0 deletions content/event/2024-05-23/index.md
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---
# Documentation: https://wowchemy.com/docs/managing-content/

title: "Seminar: \"Evaluating the Spatial Reasoning Capabilities of Large Language Models\""
# event:
# event_url:
location: Abacws
# address:
# street:
# city:
# region:
# postcode:
# country:
summary: Talk by [Anthony Cohn](https://eps.leeds.ac.uk/computing/staff/76/professor-anthony-tony-g-cohn-freng-ceng-citp) (University of Leeds)
abstract: "In this talk I will present some initial results on evaluating the spatial reasoning capabilities of Large Language Models (LLMs). Whilst LLMs have shown remarkable apparent abilities in many areas of question answering, their abilities to perform reasoning is less clear. I will present some results, particularly focussing on qualitative spatial representations and reasoning, showing the degree of their capabilities. The approaches include (1) the use of fixed benchmarks; (2) the use of synthetic worlds in which arbitrary configurations can be set up and the correct answer easily determined; (3) conducting an extended conversation (which we call “dialectical evaluation”) to probe the limits of the LLM capabilities."

# Talk start and end times.
# End time can optionally be hidden by prefixing the line with `#`.
date: 2024-05-23T13:00:00Z
date_end: 2024-05-23T14:00:00Z
all_day: false

# Schedule page publish date (NOT event date).
publishDate: 2024-05-22T00:00:00Z

authors: [schockaerts]
tags: []

# Is this a featured event? (true/false)
featured: false

# Featured image
# To use, add an image named `featured.jpg/png` to your page's folder.
# Focal points: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight.
image:
caption: ""
focal_point: ""
preview_only: false

# Custom links (optional).
# Uncomment and edit lines below to show custom links.
# links:
# - name: Follow
# url: https://twitter.com
# icon_pack: fab
# icon: twitter

# Optional filename of your slides within your event's folder or a URL.
url_slides:

url_code:
url_pdf:
url_video:

# Markdown Slides (optional).
# Associate this event with Markdown slides.
# Simply enter your slide deck's filename without extension.
# E.g. `slides = "example-slides"` references `content/slides/example-slides.md`.
# Otherwise, set `slides = ""`.
slides: ""

# Projects (optional).
# Associate this post with one or more of your projects.
# Simply enter your project's folder or file name without extension.
# E.g. `projects = ["internal-project"]` references `content/project/deep-learning/index.md`.
# Otherwise, set `projects = []`.
projects: []
---

**Invited Speaker:** [Anthony Cohn](https://eps.leeds.ac.uk/computing/staff/76/professor-anthony-tony-g-cohn-freng-ceng-citp) (University of Leeds)
70 changes: 70 additions & 0 deletions content/event/2024-06-06/index.md
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---
# Documentation: https://wowchemy.com/docs/managing-content/

title: "Seminar: \"Interpreting Transformer Decisions\""
# event:
# event_url:
location: Abacws
# address:
# street:
# city:
# region:
# postcode:
# country:
summary: Talk by [Mohammad Taher Pilehvar](https://pilehvar.github.io/) (Cardiff University)
abstract: "Deep learning models, often perceived as inscrutable black boxes, offer predictions without insights into their decision-making processes. This talk addresses the critical need for model interpretability, providing an overview of some of the recent techniques designed to shed light on how these models arrive at their conclusions. I will specifically delve into recent advancements in backward and forward methods for evaluating token attribution and context mixing, with a particular emphasis on Transformer models due to their prevalent role in current deep learning research. This exploration not only aims to demystify the operational intricacies of Transformers but also to highlight the importance of transparency in the development and deployment of AI systems."

# Talk start and end times.
# End time can optionally be hidden by prefixing the line with `#`.
date: 2024-06-06T13:00:00Z
date_end: 2024-06-06T14:00:00Z
all_day: false

# Schedule page publish date (NOT event date).
publishDate: 2024-05-29T00:00:00Z

authors: [pilehvarm]
tags: []

# Is this a featured event? (true/false)
featured: false

# Featured image
# To use, add an image named `featured.jpg/png` to your page's folder.
# Focal points: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight.
image:
caption: ""
focal_point: ""
preview_only: false

# Custom links (optional).
# Uncomment and edit lines below to show custom links.
# links:
# - name: Follow
# url: https://twitter.com
# icon_pack: fab
# icon: twitter

# Optional filename of your slides within your event's folder or a URL.
url_slides:

url_code:
url_pdf:
url_video:

# Markdown Slides (optional).
# Associate this event with Markdown slides.
# Simply enter your slide deck's filename without extension.
# E.g. `slides = "example-slides"` references `content/slides/example-slides.md`.
# Otherwise, set `slides = ""`.
slides: ""

# Projects (optional).
# Associate this post with one or more of your projects.
# Simply enter your project's folder or file name without extension.
# E.g. `projects = ["internal-project"]` references `content/project/deep-learning/index.md`.
# Otherwise, set `projects = []`.
projects: []
---

**Invited Speaker:** [Mohammad Taher Pilehvar](https://pilehvar.github.io/) (Cardiff University)

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