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Found 2 papers, 1 papers with code
Exploring the Limitations of Large Language Models in Compositional Relation Reasoning
We present a comprehensive evaluation of large language models(LLMs)' ability to reason about composition relations through a benchmark encompassing 1, 500 test cases in English, designed to cover six distinct types of composition relations: Positional, Comparative, Personal, Mathematical, Identity, and Other.
Leveraging SAM for Single-Source Domain Generalization in Medical Image Segmentation
Domain Generalization (DG) aims to reduce domain shifts between domains to achieve promising performance on the unseen target domain, which has been widely practiced in medical image segmentation.
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