14 citations · 26 across the 5 of their papers we have counts for
5 papers
Named Clinical Entity Recognition Benchmark
Wadood M Abdul, Marco AF Pimentel, Muhammad Umar Salman +6
This technical report introduces a Named Clinical Entity Recognition Benchmark for evaluating language models in healthcare, addressing the crucial natural language processing (NLP…
Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs
Clément Christophe, Tathagata Raha, Svetlana Maslenkova +4
Large Language Models (LLMs) have demonstrated significant potential in transforming clinical applications. In this study, we investigate the efficacy of four techniques in adaptin…
L-band nulling interferometry at the VLTI with Asgard/NOTT: status and plans
Denis Defrère, Romain Laugier, Marc-Antoine Martinod +43
NOTT (formerly Hi-5) is the L'-band (3.5-4.0~microns) nulling interferometer of Asgard, an instrument suite in preparation for the VLTI visitor focus. The primary scientific object…
Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches
Clément Christophe, Praveen K Kanithi, Prateek Munjal +13
This study presents a comprehensive analysis and comparison of two predominant fine-tuning methodologies - full-parameter fine-tuning and parameter-efficient tuning - within the co…
L-band nulling interferometry at the VLTI with Asgard/Hi-5: status and plans
Denis Defrère, Azzurra Bigioli, Colin Dandumont +34
Hi-5 is the L'-band (3.5-4.0 m) high-contrast imager of Asgard, an instrument suite in preparation for the visitor focus of the VLTI. The system is optimized for high-contrast a…