Seventy3

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今天的主题是：

DRT-o1: Optimized Deep Reasoning Translation via Long Chain-of-Thought

Summary

The paper introduces DRT-o1, a novel neural machine translation model designed to improve the translation of sentences containing similes and metaphors. DRT-o1 leverages a multi-agent framework to simulate extended reasoning during the translation process, generating a long chain of thought. This framework comprises a translator, an advisor, and an evaluator, iteratively refining the translation. The resulting data is then used to fine-tune the model, achieving significant improvements in BLEU, CometKiwi, and CometScore compared to baseline models. The model's effectiveness is demonstrated through experiments on literature translation.

本文提出了DRT-o1，一种旨在改进包含明喻和隐喻句子翻译的新型神经机器翻译模型。DRT-o1 利用多智能体框架，在翻译过程中模拟扩展推理，生成一条长链式思维。该框架由一个翻译器、一个顾问和一个评估器组成，迭代优化翻译结果。生成的数据随后用于微调模型，与基线模型相比，在 BLEU、CometKiwi 和 CometScore 等指标上实现了显著提升。通过文学翻译实验，验证了该模型的高效性。

原文链接：https://arxiv.org/abs/2412.17498