Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Ryan A Rossi

Biographic Data

ID3924903
NAMERyan A Rossi
GIVEN NAMESRyan A
FAMILY NAMERossi
SIGNATUREROSSI R A
AFFILIATIONSPurdue University West Lafayette
ORCID0000-0001-9758-0635
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS14
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Bias and Fairness in Large Language Models

    Open Access•Isabel O Gallegos, Ryan A Rossi et al.•ARTICLE•Computational Linguistics•2024•Cited by: 13•References: 5

    Rapid advancements of large language models (LLMs) have enabled the processing, understanding, and generation of human-like text, with increasing integration into systems that touch our social sphere. Despite this success, these models can learn, perpetuate, and amplify harmful social biases. In this article, we present a comprehensive survey of bias evaluation and mitigation techniques for LLMs. We first consolidate, formalize, and expand notion…

  • Complex networks are structurally distinguishable by domain

    Open Access•Ryan A Rossi, Nesreen K Ahmed•ARTICLE•Social Network Analysis and Mining•2019•References: 37

  • Parallel collective factorization for modeling large heterogeneous networks

    Open Access•Ryan A Rossi, Rong Zhou•ARTICLE•Social Network Analysis and Mining•2016

  • The Network Data Repository with Interactive Graph Analytics and Visualization

    Open Access•Ryan A Rossi, Ryan Rossi et al.•ARTICLE•Proceedings of the AAAI…•2015

    NetworkRepository (NR) is the first interactive data repository with a web-based platform for visual interactive analytics. Unlike other data repositories (e.g., UCI ML Data Repository, and SNAP), the network data repository (networkrepository.com) allows users to not only download, but to interactively analyze and visualize such data using our web-based interactive graph analytics platform. Users can in real-time analyze, visualize, compare, and…

  • Coloring large complex networks

    Open Access•Ryan A Rossi, Nesreen K Ahmed•ARTICLE•Social Network Analysis and Mining•2014•Cited by: 1•References: 57

  • Bias and Fairness in Large Language Models

    Open Access•Isabel O Gallegos, Ryan A Rossi et al.•ARTICLE•Computational Linguistics•2024•Cited by: 13•References: 5

    Rapid advancements of large language models (LLMs) have enabled the processing, understanding, and generation of human-like text, with increasing integration into systems that touch our social sphere. Despite this success, these models can learn, perpetuate, and amplify harmful social biases. In this article, we present a comprehensive survey of bias evaluation and mitigation techniques for LLMs. We first consolidate, formalize, and expand notion…

  • Coloring large complex networks

    Open Access•Ryan A Rossi, Nesreen K Ahmed•ARTICLE•Social Network Analysis and Mining•2014•Cited by: 1•References: 57

  • Coloring large complex networks

    Open Access•Ryan A Rossi, Nesreen K Ahmed•ARTICLE•Social Network Analysis and Mining•2014•Cited by: 1•References: 57

  • The Network Data Repository with Interactive Graph Analytics and Visualization

    Open Access•Ryan A Rossi, Ryan Rossi et al.•ARTICLE•Proceedings of the AAAI…•2015

    NetworkRepository (NR) is the first interactive data repository with a web-based platform for visual interactive analytics. Unlike other data repositories (e.g., UCI ML Data Repository, and SNAP), the network data repository (networkrepository.com) allows users to not only download, but to interactively analyze and visualize such data using our web-based interactive graph analytics platform. Users can in real-time analyze, visualize, compare, and…

  • Parallel collective factorization for modeling large heterogeneous networks

    Open Access•Ryan A Rossi, Rong Zhou•ARTICLE•Social Network Analysis and Mining•2016

  • Complex networks are structurally distinguishable by domain

    Open Access•Ryan A Rossi, Nesreen K Ahmed•ARTICLE•Social Network Analysis and Mining•2019•References: 37

  • Bias and Fairness in Large Language Models

    Open Access•Isabel O Gallegos, Ryan A Rossi et al.•ARTICLE•Computational Linguistics•2024•Cited by: 13•References: 5

    Rapid advancements of large language models (LLMs) have enabled the processing, understanding, and generation of human-like text, with increasing integration into systems that touch our social sphere. Despite this success, these models can learn, perpetuate, and amplify harmful social biases. In this article, we present a comprehensive survey of bias evaluation and mitigation techniques for LLMs. We first consolidate, formalize, and expand notion…

Computer Science (5 works) · Artificial Intelligence (4 works) · Complex Network Analysis Techniques (4 works) · Bioinformatics and Genomic Networks (2 works) · Data science (2 works) · Graph (2 works) · Mathematics (2 works) · Scalability (2 works) · Theoretical Computer Science (2 works) · Advanced Graph Neural Networks (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae