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pro vyhledávání: '"Du, Jiangcun"'
Autor:
Sun, Haoran, Jin, Renren, Xu, Shaoyang, Pan, Leiyu, Supryadi, Cui, Menglong, Du, Jiangcun, Lei, Yikun, Yang, Lei, Shi, Ling, Xiao, Juesi, Zhu, Shaolin, Xiong, Deyi
Large language models (LLMs) have demonstrated prowess in a wide range of tasks. However, many LLMs exhibit significant performance discrepancies between high- and low-resource languages. To mitigate this challenge, we present FuxiTranyu, an open-sou
Externí odkaz:
http://arxiv.org/abs/2408.06273
Large language models (LLMs) exhibit outstanding performance in machine translation via in-context learning. In contrast to sentence-level translation, document-level translation (DOCMT) by LLMs based on in-context learning faces two major challenges
Externí odkaz:
http://arxiv.org/abs/2406.07081
Increasing the number of parameters in large language models (LLMs) usually improves performance in downstream tasks but raises compute and memory costs, making deployment difficult in resource-limited settings. Quantization techniques, which reduce
Externí odkaz:
http://arxiv.org/abs/2402.16775