Natalie Mackraz

12 papers A* 3Misc 1Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Aligning LLMs by Predicting Preferences from User Writing Samples. ICML Stéphane Aroca-Ouellette, Natalie Mackraz, Barry-John Theobald, Katherine Metcalf
2025	J	`jnl`	Aligning LLMs by Predicting Preferences from User Writing Samples. CoRR Stéphane Aroca-Ouellette, Natalie Mackraz, Barry-John Theobald, Katherine Metcalf
2025	—	`conf`	Bias after Prompting: Persistent Discrimination in Large Language Models. EMNLP (Findings) Nivedha Sivakumar, Natalie Mackraz, Samira Khorshidi, Krishna Patel, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
2025	J	`jnl`	Bias after Prompting: Persistent Discrimination in Large Language Models. CoRR Nivedha Sivakumar, Natalie Mackraz, Samira Khorshidi, Krishna Patel, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
2025	A*	`conf`	Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs. ICML Yinong Oliver Wang, Nivedha Sivakumar, Falaah Arif Khan, Katherine Metcalf, Adam Golinski, Natalie Mackraz, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
2025	J	`jnl`	Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs. CoRR Yinong Oliver Wang, Nivedha Sivakumar, Falaah Arif Khan, Rin Metcalf Susa, Adam Golinski, Natalie Mackraz, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
2024	J	`jnl`	Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models. CoRR Natalie Mackraz, Nivedha Sivakumar, Samira Khorshidi, Krishna Patel, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
2024	A*	`conf`	Large Language Models as Generalizable Policies for Embodied Tasks. ICLR Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Rin Metcalf, Walter Talbott, Natalie Mackraz, R. Devon Hjelm, Alexander T. Toshev
2024	J	`jnl`	PREDICT: Preference Reasoning by Evaluating Decomposed preferences Inferred from Candidate Trajectories. CoRR Stephane Aroca-Ouellette, Natalie Mackraz, Barry-John Theobald, Katherine Metcalf
2024	J	`jnl`	Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards. CoRR Katherine Metcalf, Miguel Sarabia, Natalie Mackraz, Barry-John Theobald
2023	J	`jnl`	Large Language Models as Generalizable Policies for Embodied Tasks. CoRR Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Walter Talbott, Katherine Metcalf, Natalie Mackraz, R. Devon Hjelm, Alexander Toshev
2023	Misc	`conf`	Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards. CoRL Katherine Metcalf, Miguel Sarabia, Natalie Mackraz, Barry-John Theobald