large language models

Evaluating Harm Reduction Advice From Large Language Models.

A novel method for evaluating LLMs' potential effectiveness for harm reduction across common techniques and situations was presented, and most of the tested LLMs provided reasonable information in a non-judgmental manner, but they also provided misinformation, and some wouldn't answer questions due to built-in safety p...

Beyond Models: Building Trusted AI in the Age of Autonomous Agents

This presentation introduces the emerging paradigm of multi-agentic AI in cybersecurity, where systems evolve from passive tools to autonomous decision-making entities. This explores the rise of agentic AI and its transformative impact on modern cybersecurity. As AI systems evolve from assistive tools into autonomous a...

Machine Translation for Sign Languages

Sign language machine translation has progressed substantially over the past decade, evolving from isolated sign recognition to end-to-end translation systems. Advances in pose estimation, transformer architectures, and large-scale dataset collection have driven progress, yet challenges remain. Datasets are limited com...

Large Language Models for simplifying directly-follows graphs in support of self-regulated learning

MAESTRO: Fine-Tuned Multiagent Large Action Model-Based GenAI Assistant Integrating IoT Sensing, Smart Control, and Extended Reality for Human-Building Interaction

The potential of integrating fine-tuned LAM-based agents with structured IoT-enabled middleware and XR-based HBI systems is shown, demonstrating how foundation-model reasoning and actuation can support more intelligent and adaptive HBI workflows.

Retrieval-augmented large language models for automated story point estimation across agile projects

GeoAgentbench: a dynamic execution benchmark for tool-augmented agents in spatial analysis

The integration of Large Language Models (LLMs) into Geographic Information Systems (GIS) marks a paradigm shift toward autonomous spatial analysis. However, evaluating these LLM-based agents remains challenging due to the complex, multi-step nature of geospatial workflows. Existing benchmarks primarily rely on static...

What’s so terrible about being two? The developmental needs of two-year-olds and implications for service provision In Northern Ireland

Early intervention has been a recurrent theme in addressing educational underachievement for children who are at risk of experiencing multiple adversities and undesirable outcomes (Dawson, Dunn and Morgan, 2010). However, there has been some dispute regarding the definition of early intervention - as to whether it shou...

Defusing Logic Bombs in Symbolic Execution with LLM-Generated Ghost Code

Symbolic execution is a powerful program analysis technique, but its effectiveness is fundamentally limited by solver-hostile program fragments, complex numerical reasoning, and unbounded heap structures. Recent work proposed replacing constraint solvers with large language models (LLMs) to bypass these limitations, bu...

Accelerating scientific discovery using domain adaptive language modelling

Research has been conducted for numerous centuries but recent advances in technology have facilitated and accelerated the process keeping the research budget and the required effort at manageable levels. Scientific and technical corpora, such as papers and patents, are great written sources of already existing research...

Interpretable semantic representations from neural language models and computer vision

Recent years have seen a remarkable increase in the computational power we have at our disposal, which has been the driving force behind the emergence of large scale deep learning systems. Today, the field of computational linguistics is dominated by high capacity neural models that in many cases outperform even human...

Oil market narratives and their economic effect

This thesis investigates the economic importance of oil narratives in affecting financial markets over the period 1984 to 2018. Over this period oil narratives are of particular interest due to geopolitical events that are communicated through media and influencing the oil market. Over 100,000 oil-related articles from...