Financial-Fraud-Detection-Using-LLMs

Financial-Fraud-Detection-Using-LLMs

amitkedia007

The aim of this dissertation is to assess the effectiveness of LLMs such as FinBERT and GPT-2 in detecting fraudulent activities in financial reports and statements. This repo provides the code for implementing LLMs, traditional machine learning and deep learning models on the labelled dataset

90 Stars
36 Forks
3 Watchers
Jupyter Notebook Language
100 SrcLog Score
Cost to Build
$8.3K
Market Value
$16.5K

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8 data points  ·  2026-04-08 → 2026-10-18
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What is the amitkedia007/Financial-Fraud-Detection-Using-LLMs GitHub project? Description: "The aim of this dissertation is to assess the effectiveness of LLMs such as FinBERT and GPT-2 in detecting fraudulent activities in financial reports and statements. This repo provides the code for implementing LLMs, traditional machine learning and deep learning models on the labelled dataset". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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