activity
20232025
most citedDMLR: Data-centric Machine Learning Research -- Past, Present and Future

6 citations · 15 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2025

A Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps Users

Nishant Balepur, Matthew Shu, Yoo Yeon Sung +5

To assist users in complex tasks, LLMs generate plans: step-by-step instructions towards a goal. While alignment methods aim to ensure LLM plans are helpful, they train (RLHF) or e…

cs.CY2025★ 4 cited

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons

Shaona Ghosh, Heather Frase, Adina Williams +99

The rapid advancement and deployment of AI systems have created an urgent need for standard safety-evaluation frameworks. This paper introduces AILuminate v1.0, the first comprehen…

cs.CL2024

PERSONA: A Reproducible Testbed for Pluralistic Alignment

Louis Castricato, Nathan Lile, Rafael Rafailov +2

The rapid advancement of language models (LMs) necessitates robust alignment with diverse user values. However, current preference optimization approaches often fail to capture the…

cs.CL2024★ 5 cited

The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models

Hannah Rose Kirk, Alexander Whitefield, Paul Röttger +9

Human feedback is central to the alignment of Large Language Models (LLMs). However, open questions remain about methods (how), domains (where), people (who) and objectives (to wha…

cs.CY2024

Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation

Jessica Quaye, Alicia Parrish, Oana Inel +12

With the rise of text-to-image (T2I) generative AI models reaching wide audiences, it is critical to evaluate model robustness against non-obvious attacks to mitigate the generatio…

cs.LG2023★ 6 cited

DMLR: Data-centric Machine Learning Research -- Past, Present and Future

Luis Oala, Manil Maskey, Lilith Bat-Leah +35

Drawing from discussions at the inaugural DMLR workshop at ICML 2023 and meetings prior, in this report we outline the relevance of community engagement and infrastructure developm…