The entry of large language models (LLMs) into research and commercial spaces has led to
a trend of ever-larger models, with initial promises of generalisability. This was followed by a …

Large Language Models (LLMs) demonstrate remarkable versatility in various NLP tasks but
encounter distinct challenges in biomedicine due to medical language complexities and …

The rise in abusive language on social media is a significant threat to mental health and
social cohesion. For Bengali speakers, the need for effective detection is critical. However …

We present SciRIFF (Scientific Resource for Instruction-Following and Finetuning), a dataset
of 137K instruction-following demonstrations for 54 tasks covering five essential scientific …

Clinical trials are crucial in experimental medicine as they assess the safety and efficiency of
new treatments. Due to its unstructured and plain language nature, clinical text data often …

The adoption of large language models (LLMs) to assist clinicians has attracted remarkable
attention. Existing works mainly adopt the close-ended question-answering task with answer …

This paper introduces the Pandemic PACT Advanced Categorisation Engine (PPACE) along
with its associated dataset. PPACE is a fine-tuned model developed to automatically classify …

Vision-language modeling is a crucial subfield of AI that focuses on jointly learning and
representing image and text data, often using one modality to enhance understanding of the …