Enhancing Invoice Recognition with LLM Embeddings in GAT Networks
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Americas Conference on Information Systems, AMCIS 2025. The Association for Information Systems (AIS), 2025. p. 4483-4492 (Americas Conference on Information Systems, AMCIS 2025; Vol. 7).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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RIS
TY - CHAP
T1 - Enhancing Invoice Recognition with LLM Embeddings in GAT Networks
AU - Thiée, Lukas Walter
AU - Funk, Burkhardt
N1 - Publisher Copyright: Copyright © 2025 by Association for Information Systems (AIS). All rights reserved.
PY - 2025/8
Y1 - 2025/8
N2 - We propose a novel approach for invoice recognition by integrating Large Language Model Embeddings as semantic features into the nodes of a Graph Attention Neural Network. Both the language model and the graph structure provide rich contextual information for our model to enhance the classification of OCR tokens from invoice documents. The experimental results demonstrate improvements in the classification performance on our datasets by over 3%, highlighting the effectiveness of our multiple attention mechanism. The approach is transferable to all kinds of service systems that process visually rich documents.
AB - We propose a novel approach for invoice recognition by integrating Large Language Model Embeddings as semantic features into the nodes of a Graph Attention Neural Network. Both the language model and the graph structure provide rich contextual information for our model to enhance the classification of OCR tokens from invoice documents. The experimental results demonstrate improvements in the classification performance on our datasets by over 3%, highlighting the effectiveness of our multiple attention mechanism. The approach is transferable to all kinds of service systems that process visually rich documents.
KW - GAT
KW - Invoice Recognition
KW - LLM
KW - Business informatics
UR - http://www.scopus.com/inward/record.url?scp=105025356507&partnerID=8YFLogxK
M3 - Article in conference proceedings
AN - SCOPUS:105025356507
T3 - Americas Conference on Information Systems, AMCIS 2025
SP - 4483
EP - 4492
BT - Americas Conference on Information Systems, AMCIS 2025
PB - The Association for Information Systems (AIS)
T2 - 2025 Americas Conference on Information Systems, AMCIS 2025
Y2 - 14 August 2025 through 16 August 2025
ER -
