Papers by Thomas Bonnier

1 papers
Revisiting Multimodal Transformers for Tabular Data with Text Fields (2024.findings-acl)

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Challenge: Tabular data with text fields can be used in financial risk assessment and diagnosis prediction.
Approach: They propose a tabular/text dual-stream Transformer network with numerical embedding schemes and an overall attention module to estimate whether a prediction is uncertain.
Outcome: The proposed model can estimate whether a prediction is uncertain or not based on two well-informed modality streams .

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