OmniParsingBench
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- Youtu-Parsing-Omni unifies parsing across four modalities
Youtu-Parsing-Omni is a 5B-parameter parser designed to convert documents, images, audio, and video into structured records grounded in space and time. It combines a shared-weight encoder, cross-modal fusion, a unified output schema, and self-evolving post-training across ten parsing tasks. The authors report a 96.96 overall score on OmniDocBench v1.6 and a 75.08 average on OmniParsingBench, while code and model weights are publicly available.
Hugging Face · Papers · 🔥 0 - Tencent releases 5B omni-modal parsing model Youtu-Parsing-Omni
Tencent Youtu Lab published Youtu-Parsing-Omni on Hugging Face, a compact 5B omni-modal parsing model that turns a document page, natural image, chart or flowchart, geometry figure, audio clip or audio-visual video into a single structured JSON output, with the output family selected by a task prompt. The model card says a single omni encoder handles image, audio and interleaved audio-visual video inputs, and that a vLLM plugin, pinned serving settings, task prompts and inference examples are included. Tencent reports 96.96 Overall on OmniDocBench v1.6, 75.08 Avg. on OmniParsingBench as the best open-weight model behind Gemini-3-Pro, and competitive results against specialized models on chemical-structure and music-score recognition; all of these benchmarks are vendor-reported and were not independently verified in the supplied material.
腾讯混元 · Hugging Face · 🔥 0
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