MENT 发表于 2025-3-26 22:54:36
http://reply.papertrans.cn/23/2291/229017/229017_31.png植物群 发表于 2025-3-27 03:28:44
https://doi.org/10.1007/978-90-481-8764-5 of MABSA. MCPR is a collection of 1.5k product reviews involving clothing and furniture departments, from the e-commercial platform JD.com. After aspect-base sentiment annotation and text-image matching, we obtain 2,719 text-image pairs and 610 distinct aspects in total. It is the first aspect-based multimodal Chinese product review dataset.Calculus 发表于 2025-3-27 09:09:29
A Scheduled Mask Method for TextVQAthod, our model can gradually adapt to the situation without the ground truth answer input in the training process. We have verified the effectiveness of our method on the TextVQA dataset and exceeded the performance of other models previously proposed.Spina-Bifida 发表于 2025-3-27 12:32:20
http://reply.papertrans.cn/23/2291/229017/229017_34.pngprolate 发表于 2025-3-27 13:41:47
S. G. Bobkov,G. P. Chistyakov,F. Götzeset demonstrate the effectiveness of our proposed method. Our work finds that both MLMs and GLMs are good at masked token prediction and that PLMs have acquired commonsense knowledge through large-corpus pre-training.紧张过度 发表于 2025-3-27 21:19:12
http://reply.papertrans.cn/23/2291/229017/229017_36.png弯曲的人 发表于 2025-3-28 01:26:49
Solving a Cloze Test for Generative Commonsense Question Answeringset demonstrate the effectiveness of our proposed method. Our work finds that both MLMs and GLMs are good at masked token prediction and that PLMs have acquired commonsense knowledge through large-corpus pre-training.Oligarchy 发表于 2025-3-28 05:16:39
http://reply.papertrans.cn/23/2291/229017/229017_38.png低三下四之人 发表于 2025-3-28 07:39:00
http://reply.papertrans.cn/23/2291/229017/229017_39.png使迷惑 发表于 2025-3-28 12:17:19
0302-9743 submissions. The papers cover all aspects of Sensing Intelligence (SIJ as a Service (SlaaS). Cognitive Computing is a sensing-driven computing (SDC) scheme that explores and integrates intelligence from all types of senses in various scenarios and solution contexts..978-3-031-23584-9978-3-031-23585-6Series ISSN 0302-9743 Series E-ISSN 1611-3349