Zobrazeno 1 - 10
of 327
pro vyhledávání: '"Chen, Zichen"'
Publikováno v:
38th Conference on Neural Information Processing Systems (NeurIPS 2024)
In reinforcement learning with image-based inputs, it is crucial to establish a robust and generalizable state representation. Recent advancements in metric learning, such as deep bisimulation metric approaches, have shown promising results in learni
Externí odkaz:
http://arxiv.org/abs/2411.06174
Large language models (LLMs) have achieved remarkable success in natural language processing (NLP), demonstrating significant capabilities in processing and understanding text data. However, recent studies have identified limitations in LLMs' ability
Externí odkaz:
http://arxiv.org/abs/2406.16176
Large Language Models (LLMs) have achieved remarkable success in natural language tasks, yet understanding their reasoning processes remains a significant challenge. We address this by introducing XplainLLM, a dataset accompanying an explanation fram
Externí odkaz:
http://arxiv.org/abs/2311.08614
Language models (LMs) like GPT-4 are important in AI applications, but their opaque decision-making process reduces user trust, especially in safety-critical areas. We introduce LMExplainer, a novel knowledge-grounded explainer that clarifies the rea
Externí odkaz:
http://arxiv.org/abs/2303.16537
Autor:
Chen, Yuanyuan, Chen, Zichen, Guo, Sheng, Zhao, Yansong, Liu, Zelei, Wu, Pengcheng, Yang, Chengyi, Li, Zengxiang, Yu, Han
Artificial intelligence (AI)-empowered industrial fault diagnostics is important in ensuring the safe operation of industrial applications. Since complex industrial systems often involve multiple industrial plants (possibly belonging to different com
Externí odkaz:
http://arxiv.org/abs/2302.11485
Large-scale neural networks possess considerable expressive power. They are well-suited for complex learning tasks in industrial applications. However, large-scale models pose significant challenges for training under the current Federated Learning (
Externí odkaz:
http://arxiv.org/abs/2208.05174
Autor:
Peng, Jiao, Wang, Feifan, Fu, Zhongqiang, Hu, Yiying, Chen, Zichen, Zhou, Xinghan, Wang, Lijun
Recent years have witnessed the advancement of deep learning vision technologies and applications in the medical industry. Intelligent devices for special medication management are in great need of, which requires more precise detection algorithms to
Externí odkaz:
http://arxiv.org/abs/2110.09777
Autor:
Niu, Xiaorong, Han, Peng, Liu, Junsong, Chen, Zichen, Ma, Xiaoyan, Zhang, Ting, Li, Baiya, Ma, Xudong
Publikováno v:
In Tissue and Cell June 2023 82
Akademický článek
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Publikováno v:
In Brazilian Journal of Otorhinolaryngology November-December 2022 88 Supplement 3:S66-S72