Logics-MLLM/OmniParsingBench
🤗 Model | 📑 Technical Report | 💻 GitHub OmniParsingBench is a comprehensive, large-scale, and high-quality evaluation corpus designed to rigorously evaluate the unified parsing capabilities of Multimodal Large Language Models (MLLMs) across diverse modalities. Unlike traditional single-task benchmarks, OmniParsingBench assesses the full spectrum of parsing performance—from fundamental signal detection to complex semantic… See the full description on the dataset page: https://huggingface.co/datasets/Logics-MLLM/OmniParsingBench.
| Author / organization | Logics-MLLM |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 420 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 19 March 2026 |
| Last updated at source | 8 April 2026 |
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- Logics-Parsing-Omni Technical ReportPaper · cites
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- 16 Oct 2026 Description: 🤗 Model | 📑 Technical Report | 💻 GitHub OmniParsingBench is a comprehensive, large-scale, and high-quality evaluation corpus designed to rigorously evaluate the unified parsing capabilities of Multimodal Large Language Models (MLLMs) acr → 🤗 Model | 📑 Technical Report | 💻 GitHub OmniParsingBench is a comprehensive, large-scale, and high-quality evaluation corpus designed to rigorously evaluate the unified parsing capabilities
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