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PianoBART: Symbolic Piano Music Generation and Understanding with Large-Scale Pre-Training

Autor: Liang, Xiao, Zhao, Zijian, Zeng, Weichao, He, Yutong, He, Fupeng, Wang, Yiyi, Gao, Chengying

Learning musical structures and composition patterns is necessary for both music generation and understanding, but current methods do not make uniform use of learned features to generate and comprehend music simultaneously. In this paper, we propose

Externí odkaz: http://arxiv.org/abs/2407.03361

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ProMISe: Promptable Medical Image Segmentation using SAM

Autor: Wang, Jinfeng, Song, Sifan, Wang, Xinkun, Wang, Yiyi, Miao, Yiyi, Su, Jionglong, Zhou, S. Kevin

With the proposal of the Segment Anything Model (SAM), fine-tuning SAM for medical image segmentation (MIS) has become popular. However, due to the large size of the SAM model and the significant domain gap between natural and medical images, fine-tu

Externí odkaz: http://arxiv.org/abs/2403.04164

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AbLit: A Resource for Analyzing and Generating Abridged Versions of English Literature

Autor: Roemmele, Melissa, Shaffer, Kyle, Olsen, Katrina, Wang, Yiyi, DeNeefe, Steve

Creating an abridged version of a text involves shortening it while maintaining its linguistic qualities. In this paper, we examine this task from an NLP perspective for the first time. We present a new resource, AbLit, which is derived from abridged

Externí odkaz: http://arxiv.org/abs/2302.06579

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