Prompting Techniques for Gender Equity in Open-Source LLMs
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@courseproject{zeccamarrocolamonaco2324-ethicsofai20232024,
abstract = {Large Language Models (LLMs) are finding increasingly widespread applications, from generating creative text formats to informing decision-making processes. However, these powerful tools inherit the biases and stereotypes present within the data they are trained on. This can lead to the generation of texts containing harmful stereotypes, particularly with regard to gender representation. This paper investigates the presence of gender biases and stereotypes within LLMs with an emphasis on the use of prompting techniques to try to limit this issue. This work contributes to the development of fairer and more inclusive AI.},
apice = {ZeccaMarroColamonaco2324},
author = {Andrea Zecca and Samuele Marro and Stefano Colamonaco},
howpublished = {Ethics of AI, A.Y. 2023/2024},
sort = {classic},
supervisor = {Calegari, Roberta},
title = {Prompting Techniques for Gender Equity in Open-Source LLMs},
type = {Standard Project},
url = {https://dvcs.apice.unibo.it/pika-lab/courses/ai-ethics/projects/zecca-carro-colamonaco2324}
}
abstract = {Large Language Models (LLMs) are finding increasingly widespread applications, from generating creative text formats to informing decision-making processes. However, these powerful tools inherit the biases and stereotypes present within the data they are trained on. This can lead to the generation of texts containing harmful stereotypes, particularly with regard to gender representation. This paper investigates the presence of gender biases and stereotypes within LLMs with an emphasis on the use of prompting techniques to try to limit this issue. This work contributes to the development of fairer and more inclusive AI.},
apice = {ZeccaMarroColamonaco2324},
author = {Andrea Zecca and Samuele Marro and Stefano Colamonaco},
howpublished = {Ethics of AI, A.Y. 2023/2024},
sort = {classic},
supervisor = {Calegari, Roberta},
title = {Prompting Techniques for Gender Equity in Open-Source LLMs},
type = {Standard Project},
url = {https://dvcs.apice.unibo.it/pika-lab/courses/ai-ethics/projects/zecca-carro-colamonaco2324}
}