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pro vyhledávání: '"Kim, Choonghan"'
Background: Large language models (LLMs) are gaining use in clinical settings, but their performance can suffer with incomplete radiology reports. We tested whether multimodal LLMs (using text and images) could improve accuracy and understanding in c
Externí odkaz:
http://arxiv.org/abs/2410.07111
Recent advancements in Large Multimodal Models (LMMs) have attracted interest in their generalization capability with only a few samples in the prompt. This progress is particularly relevant to the medical domain, where the quality and sensitivity of
Externí odkaz:
http://arxiv.org/abs/2405.01591
Autor:
Kim, Choonghan, Lee, Gary Geunbae
Data-to-text (D2T) generation is the task of generating texts from structured inputs. We observed that when the same target sentence was repeated twice, Transformer (T5) based model generates an output made up of asymmetric sentences from structured
Externí odkaz:
http://arxiv.org/abs/2208.04558