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Abstractive text summarization: State of the art, challenges, and improvements
Specifically focusing on the landscape of abstractive text summarization, as opposed to
extractive techniques, this survey presents a comprehensive overview, delving into state-of …
extractive techniques, this survey presents a comprehensive overview, delving into state-of …
Zero-shot cross-lingual knowledge transfer in vqa via multimodal distillation
As multilingual artificial intelligence systems proliferate, achieving robust cross-lingual
understanding remains an open challenge. Recent works have made progress on visual …
understanding remains an open challenge. Recent works have made progress on visual …
Large Multimodal Models for Low-Resource Languages: A Survey
In this survey, we systematically analyze techniques used to adapt large multimodal models
(LMMs) for low-resource (LR) languages, examining approaches ranging from visual …
(LMMs) for low-resource (LR) languages, examining approaches ranging from visual …
LCV2: A Universal Pretraining-Free Framework for Grounded Visual Question Answering
Y Chen, L Su, L Chen, Z Lin - Electronics, 2024 - mdpi.com
Grounded Visual Question Answering systems place heavy reliance on substantial
computational power and data resources in pretraining. In response to this challenge, this …
computational power and data resources in pretraining. In response to this challenge, this …
Meta-learning For Vision-and-language Cross-lingual Transfer
Current pre-trained vison-language models (PVLMs) achieve excellent performance on a
range of multi-modal datasets. Recent work has aimed at building multilingual models, and …
range of multi-modal datasets. Recent work has aimed at building multilingual models, and …