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20192026
most citedMed42 -- Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches

14 citations · 18 across the 6 of their papers we have counts for

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cs.AI2024

Beyond Metrics: A Critical Analysis of the Variability in Large Language Model Evaluation Frameworks

Marco AF Pimentel, Clément Christophe, Tathagata Raha +3

As large language models (LLMs) continue to evolve, the need for robust and standardized evaluation benchmarks becomes paramount. Evaluating the performance of these models is a co…

cs.CL2024★ 14 cited

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…