23 citations · 32 across the 4 of their papers we have counts for
4 papers
LLM-as-a-judge validity is strongly task-dependent across physics assessment formats
Will Yeadon, Tom Hardy, Paul Mackay +1
As large language models (LLMs) are increasingly considered for automated assessment and feedback, understanding when LLM marking is valid is essential. We evaluate LLM-as-a-judge…
QSTToolkit: A Python Library for Deep Learning Powered Quantum State Tomography
George FitzGerald, Will Yeadon
We introduce QSTToolkit, a Python library for performing quantum state tomography (QST) on optical quantum state measurement data. The toolkit integrates traditional Maximum Likeli…
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1168
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…
Exploring Durham University Physics exams with Large Language Models
Will Yeadon, Douglas P. Halliday
The emergence of advanced Natural Language Processing (NLP) models like ChatGPT has raised concerns among universities regarding AI-driven exam completion. This paper provides a co…