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Infinity-Parser2 model released with novel synthesis and multi-task RL

Researchers have introduced Infinity-Parser2, a large multimodal model designed for end-to-end document parsing. The model addresses data scarcity by employing a controllable data-synthesis pipeline and multi-task reinforcement learning. Key contributions include the creation of Infinity-Doc2-5M, a 5-million-sample bilingual corpus, and a multi-task reward system for joint reinforcement learning across eight objectives. Two variants, Infinity-Parser2-Flash and Infinity-Parser2-Pro, have been released, with the latter achieving state-of-the-art results on OCR and parsing benchmarks. AI

IMPACT This model's advanced document parsing capabilities could significantly improve information extraction and understanding across various document types.

RANK_REASON The cluster describes a new model release and technical report detailing its architecture, dataset, and benchmark performance. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Infinity-Parser2 model released with novel synthesis and multi-task RL

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The cluster describes a new model release and technical report detailing its architecture, dataset, and benchmark performance. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Infinity-Parser2 Technical Report

    We present Infinity-Parser2, a large multimodal model that couples a controllable data-synthesis pipeline with multi-task reinforcement learning for end-to-end document parsing, addressing the persistent scarcity of faithfully annotated parsing corpora. Our contributions are thre…