Papers by Michael Oberst

1 papers
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress? (2024.emnlp-main)

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Challenge: Several studies claim that domain-adaptive pretraining improves performance on downstream medical tasks.
Approach: They compare medical LLMs and VLMs against their corresponding base models . they find that medical Lms outperform their base models in 12.1% of cases .
Outcome: The proposed models outperform their base models on medical questions and tasks in 12.1% of cases and reach a tie in 49.8% of cases.

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