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Yongyi He

2 accepted papers

2024

Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding

Ziqi Wang, Chen Zhu, Zhi Zheng, Xinhang Li, Tong Xu, Yongyi He +3
EMNLP 2024finding

Multimodal Named Entity Recognition and Grounding (MNERG) aims to extract paired textual and visual entities from texts and images. It has been well explored through a two-step paradigm: initially identifying potential visual entities using object detection methods and then aligning the extracted te…

Cited by 0Source ↗PDF ↗Scholar ↗
2024

In-Context Former: Lightning-fast Compressing Context for Large Language Model

Xiangfeng Wang, Zaiyi Chen, Tong Xu, Zheyong Xie, Yongyi He, Enhong Chen
EMNLP 2024finding

With the rising popularity of Transformer-based large language models (LLMs), reducing their high inference costs has become a significant research focus. One effective approach to mitigate these costs is compressing the long input contexts. Existing methods typically leverage the self-attention mec…

Cited by 7Source ↗PDF ↗code ↗Scholar ↗