amitkedia007 / Financial-Fraud-Detection-Using-LLMs

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

Date Created 2023-07-11 (about a year ago)

Commits 35 (last one about a year ago)

Stargazers 41 (0 this week)

Watchers 1 (0 this week)

Forks 15

License unknown

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RepositoryStats indexes 595,890 repositories, of these amitkedia007/Financial-Fraud-Detection-Using-LLMs is ranked #515,208 (14th percentile) for total stargazers, and #544,619 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #14,102/17,543.

amitkedia007/Financial-Fraud-Detection-Using-LLMs is also tagged with popular topics, for these it's ranked: deep-learning (#7,677/8511), machine-learning (#7,277/8062), large-language-models (#916/1090), finance (#514/580), classification (#489/543)

All Topics

finance deep-learning classification machine-learning large-language-models financial-fraud-detection

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35 commits on the default branch (main) since jan '22

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updated: 2024-12-20 @ 05:32am, id: 665220491 / R_kgDOJ6Z1iw