Anthem
发表于 2025-3-23 09:56:48
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权宜之计
发表于 2025-3-23 14:54:33
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不给啤
发表于 2025-3-23 20:35:28
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deriver
发表于 2025-3-24 02:10:37
Deep Learning-Driven Innovative Model for Generating Functional Knowledge Unitsscribe the functional design knowledge. Nowadays, the acquisition of functional units is mainly manual, which is time-consuming and labor-intensive. Functional knowledge integration is an effective way to achieve innovation design, yet the insufficient functional units cannot effectively support the
Latency
发表于 2025-3-24 05:55:29
Global-SEG: Text Semantic Segmentation Based on Global Semantic Pair Relationsc blocks. This paper introduces a new perspective on this task by utilizing global semantic pair relations from both token- and sentence-level language models. This approach addresses the limitations of prior work, which concentrated solely on individual semantic units like sentences. Our model proc
皱痕
发表于 2025-3-24 07:35:45
Multimodal Adaptive Inference for Document Image Classification with Anytime Early Exiting understanding (VDU) tasks. Currently, there is a reliance on large document foundation models that offer advanced capabilities but come with a heavy computational burden. In this paper, we propose a multimodal early exit (EE) model design that incorporates various training strategies, exit layer ty
AER
发表于 2025-3-24 13:27:20
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OPINE
发表于 2025-3-24 15:36:07
0302-9743 ng document semantics; NLP for document understanding; office automation; graphics recognition; human document interaction; document representation modeling and much more... .978-3-031-70545-8978-3-031-70546-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
结束
发表于 2025-3-24 21:31:03
hout any specific pre-training and with fewer parameters. We also report an extensive ablation study performed on FUNSD, highlighting the great impact of certain features and modelization choices on the performances.
Blanch
发表于 2025-3-24 23:50:34
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