78 citations · 108 across the 12 of their papers we have counts for
4 papers · 1 filter
Adapting General-Purpose Foundation Models for X-ray Ptychography in Low-Data Regimes
Robinson Umeike, Neil Getty, Yin Xiangyu +1
The automation of workflows in advanced microscopy is a key goal where foundation models like Language Models (LLMs) and Vision-Language Models (VLMs) show great potential. However…
Automated MCQA Benchmarking at Scale: Evaluating Reasoning Traces as Retrieval Sources for Domain Adaptation of Small Language Models
Ozan Gokdemir, Neil Getty, Robert Underwood +5
As scientific knowledge grows at an unprecedented pace, evaluation benchmarks must evolve to reflect new discoveries and ensure language models are tested on current, diverse liter…
EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants
Franck Cappello, Sandeep Madireddy, Robert Underwood +23
Recent advancements have positioned AI, and particularly Large Language Models (LLMs), as transformative tools for scientific research, capable of addressing complex tasks that req…
Scaling Large Vision-Language Models for Enhanced Multimodal Comprehension In Biomedical Image Analysis
Robinson Umeike, Neil Getty, Fangfang Xia +1
Large language models (LLMs) have demonstrated immense capabilities in understanding textual data and are increasingly being adopted to help researchers accelerate scientific disco…