产业应用论坛-字节跳动在大模型同传开发中的正确和错误-字节跳动.pdf

1、Inspiration thats Infinite字节跳动在模型同传开发中的正确和错误程善伯Inspiration thats Infinite评测（%）：讲者的真实意图有多少被正确翻译了（准确性）且户易理解（易读性）接近甚超过类的同传智能体Inspiration thats Infinite正确1：激进的标Inspiration thats Infinite-以中-英为例，我们的标：英语语者（不懂中）使我们的系统来翻译，开了1时的会议，有80%以上的信息被准确传达了注重实际效果，不要嗨平类同传专家评测，在真实的，难度的内部会议中，商业系统只能做到20%+的准确率，只有达到70%以上，才算作

2、合格的同传Inspiration thats Infinite正确2：的变化Inspiration thats Infinite读写策略Liu,Xiaoqian,Guoqiang Hu,Yangfan Du,Erfeng He,YingFeng Luo,Chen Xu,Tong Xiao,and Jingbo Zhu.Recent Advances in End-to-End Simultaneous Speech Translation.arXiv preprint arXiv:2406.00497(2024).翻译能+Inspiration thats Infinite传统机器翻译模型翻译

3、为设计的Policy数据中学习级联系统端到端系统Inspiration thats Infinite正确3：质量 延迟Inspiration thats InfiniteInspiration thats InfiniteInspiration thats Infinite错误1：雕花Inspiration thats Infinite消耗了巨的A100 GPU卡时组更新各种Ablation study细微的实验2024年初Inspiration thats Infinite评测只+5%常微的提升！结果Inspiration thats Infinite错误2：动评测Inspiration t

4、hats Infinite多个测试集，动评测均显著增加没有评测监督过程 最后把梭哈评测39%-44%等于没怎么涨Inspiration thats Infinite动评测 vs 评测Inspiration thats Infinite正在犯的错误：停规模化，数据标注质量变差Inspiration thats Infinite制定激进的标敢做的变化过程中做出正确的判断拒绝雕花Inspiration thats InfinitePublications(2024)1 Xingyuan Pan,Luyang Huang,Liyan Kang,Zhicheng Liu,Yu Lu,and Shanbo

5、 Cheng.2024.G-DIG:Towards Gradient-based DIverse and hiGh-quality Instruction Data Selection for Machine Translation.In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics(Volume 1:Long Papers),pages 1539515406,Bangkok,Thailand.Association for Computational Lingui

6、stics.ACL 2024 Outstanding Paper2 Zhichao Huang,Chutong Meng,and Tom Ko.2024.RepCodec:A Speech Representation Codec for Speech Tokenization.InProceedings of the 62nd Annual Meeting of the Association for Computational Linguistics(Volume 1:Long Papers),pages 57