5 papers
The Importance of Being Statistically Earnest: A Critical Re-evaluation of GSM-Symbolic
Dominika Agnieszka Długosz, Arlindo Oliveira, Natalia Díaz-Rodríguez
The GSM-Symbolic benchmark (Mirzadeh et al., 2025) reported consistent performance drops across 25 Large Language Models (LLMs) when tested on template-generated variants of GSM8K…
Engineering FAIR Privacy-preserving Applications that Learn Histories of Disease
Ines N. Duarte, Praphulla M. S. Bhawsar, Lee K. Mason +4
A recent report on "Learning the natural history of human disease with generative transformers" created an opportunity to assess the engineering challenge of delivering user-facing…
Fractal Language Modelling by Universal Sequence Maps (USM)
Jonas S Almeida, Daniel E Russ, Susana Vinga +6
Motivation: With the advent of Language Models using Transformers, popularized by ChatGPT, there is a renewed interest in exploring encoding procedures that numerically represent s…
Finding Regions of Interest in Whole Slide Images Using Multiple Instance Learning
Martim Afonso, Praphulla M. S. Bhawsar, Monjoy Saha +2
Whole Slide Images (WSI), obtained by high-resolution digital scanning of microscope slides at multiple scales, are the cornerstone of modern Digital Pathology. However, they repre…
DeepThought: An Architecture for Autonomous Self-motivated Systems
Arlindo L. Oliveira, Tiago Domingos, Mário Figueiredo +1
The ability of large language models (LLMs) to engage in credible dialogues with humans, taking into account the training data and the context of the conversation, has raised discu…