结构化预处理让DeepSeek准确率提升51%，现已开源丨清华&深言

Core Insights - The article introduces LingoEDU, a new method that enhances the accuracy of DeepSeek by 51% through a structured approach to information processing [1][7][46] - LingoEDU focuses on creating a clear semantic structure, allowing for precise tracking of information back to its original source, thereby addressing the issue of "hallucination" in AI-generated content [5][44] Group 1: Methodology and Implementation - LingoEDU employs a preprocessing model that segments text into Elementary Discourse Units (EDUs), assigning unique index markers to each unit for accurate referencing [1][5][21] - The method allows for structured pre-processing of context before it enters the main model, improving the efficiency and accuracy of information generation [2][10] - By creating a semantic tree structure, LingoEDU ensures that every generated output can be traced back to its original text, thus enhancing the reliability of AI outputs [4][46] Group 2: Experimental Results - Experimental results indicate that LingoEDU significantly outperforms baseline models in terms of segmentation accuracy, cost, and efficiency [7][35] - In a comparative study, DeepSeek-R1's accuracy improved from 9.0% to 13.6% after implementing LingoEDU, marking a 51% relative increase [7][40] - The method was tested on a dataset of 248 articles, demonstrating superior performance in tree edit distance (TED) and document-level accuracy (DLA) compared to existing models [34][35] Group 3: Advantages and Value Proposition - LingoEDU retains the semantic integrity of the original text while providing a structured format that enhances information management and reduces processing costs [6][45] - The approach addresses the critical industry challenge of AI hallucination by ensuring that AI-generated content is both accurate and traceable [44][46] - LingoEDU is positioned as a transformative technology that shifts AI applications from "black box" models to more interpretable and controllable systems, setting a new standard for reliable AI [46][47]