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Found 3 papers, 1 papers with code
MedExQA: Medical Question Answering Benchmark with Multiple Explanations
This paper introduces MedExQA, a novel benchmark in medical question-answering, to evaluate large language models' (LLMs) understanding of medical knowledge through explanations.
Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns
This work proposes a novel approach to enhance human-computer interaction in chest X-ray analysis using Vision-Language Models (VLMs) enhanced with radiologists' attention by incorporating eye gaze data alongside textual prompts.
Benchmarking and Analyzing In-context Learning, Fine-tuning and Supervised Learning for Biomedical Knowledge Curation: a focused study on chemical entities of biological interest
Five setups were designed to assess ML and FT model performance across different data availability scenarios. Datasets for curation tasks included: task 1 (620, 386), task 2 (611, 430), and task 3 (617, 381), maintaining a 50:50 positive versus negative ratio.
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