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Akademický článek

Relationship between occupational stress and depression among nurses： the path of perceived organizational support and psychological capital

Autor: Liu Dan, Du Juan, Guo Jianying, Zhang Yao, Wu Juan, Mu Nan, Wei Xinting, Liang Juan

Publikováno v: Sichuan jingshen weisheng, Vol 37, Iss 4, Pp 370-375 (2024)

BackgroundDue to the prominent particularity of medical work， nurses are prone to developing depression， which not only poses a considerable threat to the physical and mental health of nurses， but also affects the quality of nursing to some ext

Externí odkaz: https://doaj.org/article/2e13ad0961624797b0d2784296ab56ce

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Towards Multi-Source Retrieval-Augmented Generation via Synergizing Reasoning and Preference-Driven Retrieval

Autor: Zhao, Qingfei, Wang, Ruobing, Wang, Xin, Zha, Daren, Mu, Nan

Retrieval-Augmented Generation (RAG) has emerged as a reliable external knowledge augmentation technique to mitigate hallucination issues and parameterized knowledge limitations in Large Language Models (LLMs). Existing Adaptive RAG (ARAG) systems st

Externí odkaz: http://arxiv.org/abs/2411.00689

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LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples

Autor: Yao, Jia-Yu, Ning, Kun-Peng, Liu, Zhen-Hui, Ning, Mu-Nan, Liu, Yu-Yang, Yuan, Li

Large Language Models (LLMs), including GPT-3.5, LLaMA, and PaLM, seem to be knowledgeable and able to adapt to many tasks. However, we still cannot completely trust their answers, since LLMs suffer from \textbf{hallucination}\textemdash fabricating

Externí odkaz: http://arxiv.org/abs/2310.01469

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Parameter-Efficient Transformer with Hybrid Axial-Attention for Medical Image Segmentation

Autor: Hu, Yiyue, Zhang, Lei, Mu, Nan, Liu, Lei

Transformers have achieved remarkable success in medical image analysis owing to their powerful capability to use flexible self-attention mechanism. However, due to lacking intrinsic inductive bias in modeling visual structural information, they gene

Externí odkaz: http://arxiv.org/abs/2211.09533

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High-Throughput Screening of Transition Metal Single-Atom Catalysts for Nitrogen Reduction Reaction

Autor: Bo, Tingting, Cao, Shiqian, Mu, Nan, Xu, Ruixin, Liu, Yanyu, Zhou, Wei

The discovery of metals as catalytic centers for nitrogen reduction reactions has stimulated great enthusiasm for single-atom catalysts. However, the poor activity and low selectivity of available SACs are far away from the industrial requirement. Th

Externí odkaz: http://arxiv.org/abs/2207.05283

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