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Gadeng Luosang

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Articles

Federated Learning and Semantic Communication for the Metaverse: Challenges and Potential Solutions

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By Yue Bian, Xin Zhang, Gadeng Luosang, Duojie Renzeng
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Cross-Domain Tibetan Named Entity Recognition via Large Language Models

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By Gadeng Luosang
| MDPI
1. Introduction The Tibetan named entity recognition (NER) task involves the automatic identification of entities with specific meanings in Tibetan text, including entity extraction and classification. Recently, large language models (LLMs) such as ChatGPT [1] and Llama [2] have demonstrated significant success across various fields, but their application in the Tibetan NER task is relatively infrequent.
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