From Data Search to Data Showcasing: The Role of Semantic Technologies in a New Service. - Peter Cotroneo; Wouter Haak; Gabriel Oscares; Eleonora Presani; Abhinav Rohatgi; Paul Groth (ISWC (P&D/Industry/BlueSky), 2018)

Bringing Citations and Usage Metrics Together to Make Data Count. - Helena Cousijn; Patricia Feeney; Daniella Lowenberg; Eleonora Presani; Natasha Simons (Data Sci. J., 2019)

"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset. - Eric Michael Smith; Melissa Hall; Melanie Kambadur; Eleonora Presani; Adina Williams (EMNLP, 2022)

"I'm sorry to hear that": finding bias in language models with a holistic descriptor dataset. - Eric Michael Smith; Melissa Hall; Melanie Kambadur; Eleonora Presani; Adina Williams (CoRR, 2022)

ROBBIE: Robust Bias Evaluation of Large Generative Language Models. - David Esiobu; Xiaoqing Ellen Tan; Saghar Hosseini; Megan Ung; Yuchen Zhang; Jude Fernandes; Jane Dwivedi-Yu; Eleonora Presani; Adina Williams; Eric Michael Smith (EMNLP, 2023)

Introducing v0.5 of the AI Safety Benchmark from MLCommons. - Bertie Vidgen; Adarsh Agrawal; Ahmed M. Ahmed 004; Victor Akinwande; Namir Al-Nuaimi; Najla Alfaraj; Elie Alhajjar; Lora Aroyo; Trupti Bavalatti; Borhane Blili-Hamelin; Kurt D. Bollacker; Rishi Bomassani; et al. (CoRR, 2024)

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. - Shaona Ghosh; Heather Frase; Adina Williams; Sarah Luger; Paul Röttger; Fazl Barez; Sean McGregor; Kenneth Fricklas; Mala Kumar; Quentin Feuillade-Montixi; Kurt Bollacker; Felix Friedrich; et al. (CoRR, 2025)