SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities-Reference-Cited by-同舟云学术

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SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

Published:2023 Issue: Volume: Page:
ISSN:
Container-title:Findings of the Association for Computational Linguistics: EMNLP 2023
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Author:

Zhang Dong,Li Shimin,Zhang Xin,Zhan Jun,Wang Pengyu,Zhou Yaqian,Qiu Xipeng

Publisher

Association for Computational Linguistics

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generative artificial intelligence and data augmentation for prognostic and health management: Taxonomy, progress, and prospects;Expert Systems with Applications;2024-12

2. The Implementation of Multimodal Large Language Models for Hydrological Applications: A Comparative Study of GPT-4 Vision, Gemini, LLaVa, and Multimodal-GPT;Hydrology;2024-09-11

3. Generative Spoken Language Modeling with Quantized Feature Enhancement;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-05-13

5. Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

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