1 code implementation • 18 Apr 2024 • Yihua Shao, Hongyi Cai, Xinwei Long, Weiyi Lang, Zhe Wang, Haoran Wu, Yan Wang, Jiayi Yin, Yang Yang, Yisheng Lv, Zhen Lei
The inference capabilities of neural networks using cameras limit the accuracy of accident detection in complex transportation systems.
no code implementations • 16 Jan 2024 • Xinwei Long, Jiali Zeng, Fandong Meng, Zhiyuan Ma, Kaiyan Zhang, BoWen Zhou, Jie zhou
Knowledge retrieval with multi-modal queries plays a crucial role in supporting knowledge-intensive multi-modal applications.
no code implementations • 24 Oct 2023 • Kaiyan Zhang, Ning Ding, Biqing Qi, Xuekai Zhu, Xinwei Long, BoWen Zhou
Instruction tuning has recently been recognized as an effective way of aligning Large Language Models (LLMs) to enhance their generalization ability across various tasks.
1 code implementation • 23 May 2023 • Xuekai Zhu, Biqing Qi, Kaiyan Zhang, Xinwei Long, Zhouhan Lin, BoWen Zhou
While large language models (LLMs) excel in various natural language processing tasks, their huge size and the inaccessibility of parameters present challenges for practical deployment.
1 code implementation • 27 Sep 2022 • Shen Huang, Yuchen Zhai, Xinwei Long, Yong Jiang, Xiaobin Wang, Yin Zhang, Pengjun Xie
Speech Entity Linking aims to recognize and disambiguate named entities in spoken languages.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Xinwei Long, Shuzi Niu, Yucheng Li
Named Entity Recognition (NER) is deeply explored and widely used in various tasks.