SoMark 开源 1.3B 文档解析模型 OXR,登顶 olmOCR-Bench 等三榜
SoMark 团队开源 1.3B 参数的文档解析模型 OXR,可将 PDF 和文档图像转为带布局坐标的 Markdown 或 JSON。该模型在后训练阶段用 VLM 评估自身输出、以 rollout 分歧标记不确定性,再由聚类模型归因并指导下一轮定向数据生成,据称是首个在文档解析中使用 RSI 的模型。
Rohan Paul· @rohanpaul_ai · X·2026-10-21 03:39· 1 小时前AI 评分54
AI 导读
SoMark 团队发布开源文档解析模型 OXR(1.3B 参数),将 PDF 和文档图像转为含布局坐标的 Markdown 或 JSON 的 Agent-Friendly 数据。
正文 · 原文
OXR makes parsing failures part of the training process.
During post-training (OXR is the first document parser to use RSI here), a VLM evaluates its outputs, rollout disagreements flag uncertainty, and a separate clustering model groups the causes;
those findings then guide targeted data generation for the next round, and the 1.3B model that comes out of it sits first on olmOCR-Bench, OmniDocBench and DocParsingBench while running 3.05× GLM-OCR's throughput on a single RTX PRO 6000, the fastest open-source result in the speed comparison.
Worth studying (Github link in comment)
Beyond OCR. Meet OXR. Only 1.3B. Open source. #1 on olmOCR-Bench, OmniDocBench & DocParsingBench🏆 #1 in parsing speed among open-source models⚡ RSI-powered. A first in document parsing. Turn documents into Agent-Friendly data. If OXR helps, give us a star on GitHub! 🌟在 X 查看被引用的帖子
来源:Rohan Paul · x.com
来源:RadarAI · aihot.news