mlsanityData to 7 Oct 2026

A Dutch Financial Large Language Model

arXiv 2410.12835 ↗First posted 3 Oct 2024cs.CE cs.CLcited by 2

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Abstract (arXiv)

This paper presents FinGEITje, the first Dutch financial Large Language Model (LLM) specifically designed and optimized for various financial tasks. Together with the model, we release a specialized Dutch financial instruction tuning dataset with over 140,000 samples, constructed employing an automated translation and data processing method. The open-source data construction method is provided, facilitating the creation of financial instruction datasets in different languages. To evaluate model performance, the study introduces the first Dutch financial evaluation benchmark, along with an automated evaluation method that utilizes an LLM as an independent evaluator, reducing manual intervention in performance evaluation. The experimental results highlight the superior performance of FinGEITje across five critical Dutch and English financial tasks.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 22 of its 36 references that are in the map. First posted on arXiv 3 Oct 2024.

Builds on

22 of 36 references.

References · 22

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10 more
  1. 2023Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedbackcited by 189
  2. 2020Impact of News on the Commodity Market: Dataset and Resultscited by 80
  3. 2023FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasetscited by 68
  4. 2023BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmarkcited by 60
  5. 2021Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinesecited by 45
  6. 2024FinTral: A Family of GPT-4 Level Multimodal Financial Large Language Modelscited by 32
  7. 2022What do LLMs Know about Financial Markets? A Case Study on Reddit Market Sentiment Analysiscited by 27
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Cited by year

Citing papers per year: 2025: 2.

2 papers.

  1. 2025Advancing Financial Engineering with Foundation Models: Progress, Applications, and Challengescited by 4
  2. 2025TULIP: Adapting Open-Source Large Language Models for Underrepresented Languages and Specialized Financial Taskscited by 0