1 citations · 1 across the 4 of their papers we have counts for
4 papers
Evaluating Multimodal LLMs for Inpatient Diagnosis: Real-World Performance, Safety, and Cost Across Ten Frontier Models
Bruce A. Bassett, Amy Rouillard, Sitwala Mundia +8
Background: Large language models (LLMs) are increasingly proposed for diagnostic support, but few evaluations use real-world multimodal inpatient data, particularly in low and mid…
From Handwriting to Structured Data: Benchmarking AI Digitisation of Handwritten Forms
Nicholas Pather, Joshua Fouché, Sitwala Mundia +5
Manual digitisation of structured handwritten documents is slow and costly. We benchmark 17 leading frontier multi-modal large language models and open-source models against a very…
Calibrating Beyond English: Language Diversity for Better Quantized Multilingual LLM
Everlyn Asiko Chimoto, Mostafa Elhoushi, Bruce A. Bassett
Quantization is an effective technique for reducing the storage footprint and computational costs of Large Language Models (LLMs), but it often results in performance degradation.…
Small Language Models Can Use Nuanced Reasoning For Health Science Research Classification: A Microbial-Oncogenesis Case Study
Muhammed Muaaz Dawood, Mohammad Zaid Moonsamy, Kaela Kokkas +5
Artificially intelligent (AI) co-scientists must be able to sift through research literature cost-efficiently while applying nuanced scientific reasoning. We evaluate Small Languag…