EXAONE 4.5技术报告

摘要

本技术报告介绍了LG AI Research发布的首个开放权重视觉语言模型EXAONE 4.5。该模型通过在现有EXAONE 4.0框架中集成专用视觉编码器，实现了视觉与文本模态的原生多模态预训练。经过对大规模数据的精细筛选与训练，特别是重点采用与LG战略应用领域契合的文档中心型语料，该模型在文档理解及相关任务上取得显著性能提升，同时通用语言能力也获得全面增强。EXAONE 4.5将上下文长度扩展至256K标记，可支持长上下文推理与企业级应用场景。对比评估表明，该模型在通用基准测试中展现出竞争力，同时在文档理解和韩语语境推理任务上超越了同规模的最先进模型。作为LG持续推进工业级实际部署的一部分，EXAONE 4.5将持续扩展更多领域和应用场景，以"推进人工智能，创造更美好生活"为愿景。

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技术报告

EXAONE 4.5 Technical Report

摘要

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