EXAONE 4.5 技術報告書

摘要

本技術報告介紹了LG AI研究所發布的首個開放權重視覺語言模型EXAONE 4.5。該模型通過在現有EXAONE 4.0框架中整合專用視覺編碼器架構而成，實現了對視覺與文本模態的原生多模態預訓練。模型基於經過精心策劃的大規模數據進行訓練，特別側重於符合LG戰略應用領域的文檔中心型語料庫。這種定向數據設計使模型在文檔理解及相關任務中實現顯著性能提升，同時在通用語言能力方面也取得廣泛改進。EXAONE 4.5將上下文長度擴展至256K標記，助力長上下文推理與企業級應用場景。對比評估表明，EXAONE 4.5在通用基準測試中表現具競爭力，同時在文檔理解與韓語上下文推理任務上超越同規模的尖端模型。作為LG持續推進實用工業部署的一部分，EXAONE 4.5設計為可持續擴展至更多領域與應用場景，以「推動AI技術成就更美好生活」為願景。

English

This technical report introduces EXAONE 4.5, the first open-weight vision language model released by LG AI Research. EXAONE 4.5 is architected by integrating a dedicated visual encoder into the existing EXAONE 4.0 framework, enabling native multimodal pretraining over both visual and textual modalities. The model is trained on large-scale data with careful curation, particularly emphasizing document-centric corpora that align with LG's strategic application domains. This targeted data design enables substantial performance gains in document understanding and related tasks, while also delivering broad improvements across general language capabilities. EXAONE 4.5 extends context length up to 256K tokens, facilitating long-context reasoning and enterprise-scale use cases. Comparative evaluations demonstrate that EXAONE 4.5 achieves competitive performance in general benchmarks while outperforming state-of-the-art models of similar scale in document understanding and Korean contextual reasoning. As part of LG's ongoing effort toward practical industrial deployment, EXAONE 4.5 is designed to be continuously extended with additional domains and application scenarios to advance AI for a better life.

EXAONE 4.5 技術報告書

EXAONE 4.5 Technical Report

摘要

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