Zobrazeno 1 - 10
of 223
pro vyhledávání: '"Kuang, Jun"'
Autor:
Ding, Peng, Wu, Jingyu, Kuang, Jun, Ma, Dan, Cao, Xuezhi, Cai, Xunliang, Chen, Shi, Chen, Jiajun, Huang, Shujian
Multi-modal Large Language Models (MLLMs) have demonstrated remarkable performance on various visual-language understanding and generation tasks. However, MLLMs occasionally generate content inconsistent with the given images, which is known as "hall
Externí odkaz:
http://arxiv.org/abs/2408.01355
Large Language Models (LLMs), such as ChatGPT and GPT-4, are designed to provide useful and safe responses. However, adversarial prompts known as 'jailbreaks' can circumvent safeguards, leading LLMs to generate potentially harmful content. Exploring
Externí odkaz:
http://arxiv.org/abs/2311.08268
Autor:
Han, Chengcheng, Zhu, Renyu, Kuang, Jun, Chen, FengJiao, Li, Xiang, Gao, Ming, Cao, Xuezhi, Wu, Wei
Meta-learning methods have been widely used in few-shot named entity recognition (NER), especially prototype-based methods. However, the Other(O) class is difficult to be represented by a prototype vector because there are generally a large number of
Externí odkaz:
http://arxiv.org/abs/2302.07739
Autor:
Cheng, Xinyi *, Hu, Yang, Kuang, Jun, Guo, Xiaoquan *, Cao, Huabin *, Wu, Huansheng, Hu, Guoliang *, Zhuang, Yu *
Publikováno v:
In Poultry Science August 2024 103(8)
Autor:
Tan, Jianfeng, Zhu, Leqing, Shi, Jingyan, Zhang, Jianhua, Kuang, Jun, Guo, Quanwei, Zhu, Xiaojia, Chen, Yuliang, Zhou, Chengbin, Gao, Xinghua
Publikováno v:
In European Journal of Pharmaceutical Sciences 1 August 2024 199
Relation Extraction (RE) is a vital step to complete Knowledge Graph (KG) by extracting entity relations from texts.However, it usually suffers from the long-tail issue. The training data mainly concentrates on a few types of relations, leading to th
Externí odkaz:
http://arxiv.org/abs/2011.13574
Relation extraction (RE) aims at extracting the relation between two entities from the text corpora. It is a crucial task for Knowledge Graph (KG) construction. Most existing methods predict the relation between an entity pair by learning the relatio
Externí odkaz:
http://arxiv.org/abs/1907.05333
Publikováno v:
In European Polymer Journal 15 June 2022 173
Publikováno v:
南方能源建设, Vol 8, Iss 4, Pp 1-8 (2021)
[Introduction] The increasing proportion of installed renewable energy, represented by photovoltaic and wind power, and the continuous decrease of coal power make the power grid's demand for high-quality regulation resources continue to increase and
Externí odkaz:
https://doaj.org/article/7f4544fb998d4f7fa549629862c25d0c
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