
GitHub - krystalan/DRT: DRT-o1: Optimized Deep Reasoning …
2024年12月30日 · 🌟 We propose a designed multi-agent framework with three agents (i.e., a translator, an advisor and an evaluator) to synthesize the MT samples with long thought. …
DRT: Deep Reasoning Translation via Long Chain-of-Thought
2024年12月23日 · In this paper, we introduce DRT, an attempt to bring the success of long CoT to neural machine translation (MT). Specifically, in view of the literature books that might …
腾讯研究推出新型翻译模型 DRT-o1,重塑文学文本翻译 - 来上云 …
2024年12月26日 · DRT-o1系统通过引入多代理框架和长链推理方法,为神经机器翻译领域带来了突破性的进展。 它不仅提升了翻译的准确性和流畅度,更为复杂文学文本的翻译提供了新的 …
DRT-o1: Optimized Deep Reasoning Translation via Long Chain-of …
In this paper, we introduce DRT-o1, an attempt to bring the success of long CoT to neural machine translation (MT). Specifically, in view of the literature books that might involve similes …
DRT-o1:腾讯推出专注于文学翻译的 AI 模型,擅长理解比喻和隐 …
2024年12月29日 · drt-o1 是腾讯研究院推出的文学翻译系列 ai 模型,通过长链思考推理技术显著提升翻译质量,特别擅长处理比喻和隐喻等修辞手法。 DRT-o1:腾讯推出专注于文学翻译的 …
Tencent Research Introduces DRT-o1: Two Variants DRT-o1-7B and DRT …
2024年12月25日 · Researchers from Tencent Inc. have developed an innovative system called DRT-o1 to overcome these limitations. It comprises of two variants: They are built upon the …
Tencent Research Launches New Translation Model DRT-o1, …
2024年12月26日 · The DRT-o1 system introduces groundbreaking advancements in the field of neural machine translation through its multi-agent framework and long-chain reasoning …
DRT-o1 - Advanced Neural Machine Translation with Long Chain …
DRT-o1 by Tencent Research, an advanced neural MT model. With long CoT, multi-agent collab, it excels in handling complex content like metaphors. Ideal for lit, cross-cultural & academic …
GitHub - tieuandpepper/automated-DRT: automate the process of ...
automate the process of converting mpr biologic file data to text and then transfer the impedance and frequency response to time domain
Discourse representation theory - Wikipedia
In formal linguistics, discourse representation theory (DRT) is a framework for exploring meaning under a formal semantics approach.
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