Zobrazeno 1 - 6
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pro vyhledávání: '"Xu Yongxiu"'
Autor:
Wang, Longzheng, Xu, Xiaohan, Zhang, Lei, Lu, Jiarui, Xu, Yongxiu, Xu, Hongbo, Tang, Minghao, Zhang, Chuang
Automatic detection of multimodal misinformation has gained a widespread attention recently. However, the potential of powerful Large Language Models (LLMs) for multimodal misinformation detection remains underexplored. Besides, how to teach LLMs to
Externí odkaz:
http://arxiv.org/abs/2403.14171
Named Entity Recognition (NER) remains challenging due to the complex entities, like nested, overlapping, and discontinuous entities. Existing approaches, such as sequence-to-sequence (Seq2Seq) generation and span-based classification, have shown imp
Externí odkaz:
http://arxiv.org/abs/2310.18944
Named entity recognition (NER) is a fundamental task in natural language processing that aims to identify and classify named entities in text. However, span-based methods for NER typically assign entity types to text spans, resulting in an imbalanced
Externí odkaz:
http://arxiv.org/abs/2310.18349
Fine-grained entity typing (FET) is an essential task in natural language processing that aims to assign semantic types to entities in text. However, FET poses a major challenge known as the noise labeling problem, whereby current methods rely on est
Externí odkaz:
http://arxiv.org/abs/2310.14596
Automatic detection of multimodal fake news has gained a widespread attention recently. Many existing approaches seek to fuse unimodal features to produce multimodal news representations. However, the potential of powerful cross-modal contrastive lea
Externí odkaz:
http://arxiv.org/abs/2302.14057
Publikováno v:
International Journal of Signal Processing, Image Processing and Pattern Recognition. 8:77-88