Agent-SiMT: Agent-Assisted Simultaneous Translation With Large Language Models
文献类型:期刊论文
| 作者 | Guo, Shoutao2,3; Zhang, Shaolei2,3; Ma, Zhengrui2,3; Zhang, Min1; Feng, Yang2,3,4 |
| 刊名 | IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
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| 出版日期 | 2025 |
| 卷号 | 33页码:2074-2083 |
| 关键词 | Translation Hidden Markov models Transformers Training Large language models Collaboration Vocabulary Speech processing Memory modules Machine translation Agent collaboration large language models simultaneous translation |
| ISSN号 | 1558-7916 |
| DOI | 10.1109/TASLPRO.2025.3566220 |
| 英文摘要 | Simultaneous Machine Translation (SiMT) generates target translations in real-time while reading the source sentence. It relies on a policy to determine the optimal timing for producing translations, aiming to achieve both low response latency and high translation quality. Existing SiMT methods typically utilize the traditional Transformer architecture, employing complicated dynamic programming algorithms to jointly optimize policy decisions and translation generation. While these methods excel at determining policies, their translation capabilities are suboptimal. In contrast, Large Language Models (LLMs), trained on extensive corpora, exhibit exceptional generation capabilities but struggle to learn translation policies through traditional Transformer-based training methods. To address these limitations, we introduce Agent-SiMT, a novel framework combining the strengths of LLMs and traditional SiMT methods. Agent-SiMT contains a policy-decision agent and a translation agent. The policy-decision agent is managed by a SiMT model, which determines the policy using partial source sentences and translations. The translation agent, powered by an LLM, generates the target translation according to the policy decisions. These two agents work collaboratively to perform SiMT. Experiments demonstrate that our method attains state-of-the-art performance. |
| 资助项目 | National Natural Science Foundation of China[62376260] |
| WOS研究方向 | Acoustics ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001502204400002 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/42327] ![]() |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Feng, Yang |
| 作者单位 | 1.Soochow Univ, Sch Comp Sci & Technol, Suzhou 215006, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol ICT, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100190, Peoples R China 4.Chinese Acad Sci, Key Lab AI Safety, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Guo, Shoutao,Zhang, Shaolei,Ma, Zhengrui,et al. Agent-SiMT: Agent-Assisted Simultaneous Translation With Large Language Models[J]. IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING,2025,33:2074-2083. |
| APA | Guo, Shoutao,Zhang, Shaolei,Ma, Zhengrui,Zhang, Min,&Feng, Yang.(2025).Agent-SiMT: Agent-Assisted Simultaneous Translation With Large Language Models.IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING,33,2074-2083. |
| MLA | Guo, Shoutao,et al."Agent-SiMT: Agent-Assisted Simultaneous Translation With Large Language Models".IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING 33(2025):2074-2083. |
入库方式: OAI收割
来源:计算技术研究所
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