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Revolut Foundation Model PRAGMA targets financial event sequences

Researchers have introduced PRAGMA, a new family of foundation models specifically designed for financial event sequences. This Transformer-based architecture utilizes masked modeling and a self-supervised objective tailored for discrete, variable-length financial records. PRAGMA aims to provide a general-purpose representation layer for banking applications, demonstrating strong performance in downstream tasks like credit scoring, fraud detection, and lifetime value prediction through extracted embeddings and lightweight fine-tuning. AI

IMPACT This model could enable more sophisticated financial analysis and risk management by providing a specialized representation layer for banking data.

RANK_REASON The item is a research paper published on arXiv detailing a new foundation model. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Revolut Foundation Model PRAGMA targets financial event sequences

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The item is a research paper published on arXiv detailing a new foundation model. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Maxim Ostroukhov, Ruslan Mikhailov, Vladimir Iashin, Artem Sokolov, Andrei Akshonov, Vitaly Protasov, Andrey Goncharov, Dmitrii Beloborodov, Vince Mullin, Roman Yokunda Enzmann, Georgios Kolovos, Jason Renders, Pavel Nesterov, Anton Repushko ·

    PRAGMA: Revolut Foundation Model

    arXiv:2604.08649v2 Announce Type: replace-cross Abstract: Modern financial systems generate vast quantities of transactional and event-level data that encode rich economic signals. This paper presents PRAGMA, a family of foundation models for banking event sequences. Our approach…