Search Results for author:
Found 5 papers, 2 papers with code
Developing Safe and Responsible Large Language Models -- A Comprehensive Framework
We introduce Safe and Responsible Large Language Model (SR$_{\text{LLM}}$) , a model designed to enhance the safety of language generation using LLMs.
Empowering Communication: Speech Technology for Indian and Western Accents through AI-powered Speech Synthesis
The architecture of the system comprises a speaker verification system, a synthesizer, a vocoder, and noise reduction.
NBIAS: A Natural Language Processing Framework for Bias Identification in Text
Therefore, it is crucial to detect and remove these biases to ensure the fair and ethical use of data.
Dbias: Detecting biases and ensuring Fairness in news articles
Because of the increasing use of data-centric systems and algorithms in machine learning, the topic of fairness is receiving a lot of attention in the academic and broader literature.
An Approach to Ensure Fairness in News Articles
This paper introduces Dbias, which is a Python package to ensure fairness in news articles.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
