353 citations · 1.3k across the 22 of their papers we have counts for
4 papers · 1 filter
The State of Data Curation at NeurIPS: An Assessment of Dataset Development Practices in the Datasets and Benchmarks Track
Eshta Bhardwaj, Harshit Gujral, Siyi Wu +3
Data curation is a field with origins in librarianship and archives, whose scholarship and thinking on data issues go back centuries, if not millennia. The field of machine learnin…
Machine Learning Data Practices through a Data Curation Lens: An Evaluation Framework
Eshta Bhardwaj, Harshit Gujral, Siyi Wu +3
Studies of dataset development in machine learning call for greater attention to the data practices that make model development possible and shape its outcomes. Many argue that the…
Foundational Challenges in Assuring Alignment and Safety of Large Language Models
Usman Anwar, Abulhair Saparov, Javier Rando +39
This work identifies 18 foundational challenges in assuring the alignment and safety of large language models (LLMs). These challenges are organized into three different categories…
Beyond Predictive Algorithms in Child Welfare
Erina Seh-Young Moon, Devansh Saxena, Tegan Maharaj +1
Caseworkers in the child welfare (CW) sector use predictive decision-making algorithms built on risk assessment (RA) data to guide and support CW decisions. Researchers have highli…