Is This You, LLM? How to Recognize AI-written Multilingual Programs with Reproducible Code Stylometry - Replication package and CLI tool

Is This You, LLM? How to Recognize AI-written Multilingual Programs with Reproducible Code Stylometry This is the replication package for the "Is This You, LLM? How to Recognize AI-written Multilingual Programs with Reproducible Code Stylometry" paper and a CLI tool for human-AI authorship. The repository contains two main experiments from the paper: - The data mining process - The authorship attribution models training, here divided into two steps (trainer_single_provenance and trainer_multi_provenance) The package also contains: - Checkpoints for both of the multi-language models - The dataset *H_AIRosettaMP.csv* - A CLI tool with a brief utilization guide in the README.md file Further information regarding the replication of the experiments is in the README.md file.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-29
DOI
https://doi.org/10.5281/zenodo.13467001
Primary Topic
Authorship Attribution and Profiling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Is This You, LLM? How to Recognize AI-written Multilingual Programs with Reproducible Code Stylometry - Replication package and CLI tool

Zenodo (CERN European Organization for Nuclear Research)
Authorship Attribution and Profiling
article

Is This You, LLM? How to Recognize AI-written Multilingual Programs with Reproducible Code Stylometry - Replication package and CLI tool

article en

Abstract

Is This You, LLM? How to Recognize AI-written Multilingual Programs with Reproducible Code Stylometry This is the replication package for the "Is This You, LLM? How to Recognize AI-written Multilingual Programs with Reproducible Code Stylometry" paper and a CLI tool for human-AI authorship. The repository contains two main experiments from the paper: - The data mining process - The authorship attribution models training, here divided into two steps (trainer_single_provenance and trainer_multi_provenance) The package also contains: - Checkpoints for both of the multi-language models - The dataset *H_AIRosettaMP.csv* - A CLI tool with a brief utilization guide in the README.md file Further information regarding the replication of the experiments is in the README.md file.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 68%
Authorship Attribution and Profiling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.