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Phoenix: Democratizing ChatGPT across Languages

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arxiv 2304.10453 v1 pith:RUD3EW5A submitted 2023-04-20 cs.CL cs.AI

Zhihong Chen , Feng Jiang , Junying Chen , Tiannan Wang , Fei Yu , Guiming Chen , Hongbo Zhang , Juhao Liang
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Chen Zhang Zhiyi Zhang Jianquan Li Xiang Wan Benyou Wang Haizhou Li
This is my paper · ORCID
classification cs.CLcs.AI
keywords chatgptlanguagesacrosslanguagemodelsphoenixaccessibleachieving
verification ladder T0 review T1 audit T2 compute T3 formal
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This paper presents our efforts to democratize ChatGPT across language. We release a large language model "Phoenix", achieving competitive performance among open-source English and Chinese models while excelling in languages with limited resources (covering both Latin and non-Latin languages). We believe this work will be beneficial to make ChatGPT more accessible, especially in countries where people cannot use ChatGPT due to restrictions from OpenAI or local goverments. Our data, code, and models are available at https://github.com/FreedomIntelligence/LLMZoo.

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    cs.CL 2025-06 conditional novelty 6.0 of 10

    CC-Tuning fuses English feed-forward activations into non-English inputs during multilingual supervised fine-tuning, using a trainable Decision Maker and a least-squares Transform Matrix to simulate the connection at ...

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