IberAuTexTification 2024: MGT Atribution

In this task, participants are provided with a text generated automatically and must determine which model generated it. To encourage models to learn features that generalize to new writing styles, five domains are used for training and two different domains for testing. The texts have been generated by LLMs trained by various providers, such as OpenAI, Amazon Bedrock, Anthropic, Cohere, AI21, Google Vertex AI, Meta, among others.

Publication
Sarvazyan et al. (2024). Overview of IberAuTexTification at IberLEF 2024: Detection and Attribution of Machine-Generated Text on Languages of the Iberian Peninsula. Procesamiento del Lenguaje Natural, 73: 421-434.

Task results

System MacroF1 Sort ascending
gmc_fosunlp_1 0.5231
iimasNLP_3 0.5173
Drocks_2 0.5075
Drocks_1 0.5030
iimasNLP_2 0.4958

If you have published a result better than those on the list, send a message to odesia-comunicacion@lsi.uned.es indicating the result and the DOI of the article, along with a copy of it if it is not published openly.