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Found 3 papers, 2 papers with code
PokeMQA: Programmable knowledge editing for Multi-hop Question Answering
Multi-hop question answering (MQA) is one of the challenging tasks to evaluate machine's comprehension and reasoning abilities, where large language models (LLMs) have widely achieved the human-comparable performance.
SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robots
This paper presents a holistic approach to saliency-guided visual attention modeling (SVAM) for use by autonomous underwater robots.
Estimate the Warfarin Dose by Ensemble of Machine Learning Algorithms
Here, we present novel algorithms using stacked generalization frameworks to estimate the warfarin dose, within which different types of machine learning algorithms function together through a meta-machine learning model to maximize the prediction accuracy.
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