Natalie Mackraz
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
4
Active years
2023–2025
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | Bias after Prompting: Persistent Discrimination in Large Language Models. | Nivedha Sivakumar, Natalie Mackraz, Samira Khorshidi, Krishna Patel, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff |
| 2025 | ICML | Aligning LLMs by Predicting Preferences from User Writing Samples. | Stphane Aroca-Ouellette, Natalie Mackraz, Barry-John Theobald, Katherine Metcalf |
| 2025 | ICML | Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs. | Yinong Oliver Wang, Nivedha Sivakumar, Falaah Arif Khan, Katherine Metcalf, Adam Golinski, Natalie Mackraz, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff |
| 2024 | ICLR | Large Language Models as Generalizable Policies for Embodied Tasks. | Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Rin Metcalf, Walter Talbott, Natalie Mackraz, R. Devon Hjelm, Alexander T. Toshev |
| 2023 | CoRL | Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards. | Katherine Metcalf, Miguel Sarabia, Natalie Mackraz, Barry-John Theobald |