LayoutLMv2 Multimodal (text + layout/format + image) pre training for document AI Introduction LayoutLMv2 is an improved version of LayoutLM with new pre training tasks to model the interaction among text, layout, and image in a single multi modal framework. It outperforms strong baselines and achieves new state of the art results on a wide variety of downstream visually rich document understanding tasks, including , including FUNSD (0.7895 → 0.8420), CORD (0.9493 → 0.9601), SROIE (0.9524 → 0.9781), Kleister NDA (0.834 → 0.852), RVL CDIP (0.9443 → 0.9564), and DocVQA (0.7295 → 0.8672). LayoutLMv2: Multi modal Pre training for Visually Rich Document Understanding Yang Xu, Yiheng Xu, Tengchao Lv, Lei Cui, Furu Wei, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, Wanxiang Che, Min Zhang, Lidong Zhou, ACL 2021
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