Automated Methods for Extracting and Expanding Lists in Regulatory Text. - Alan Buabuchachart; Nina Charness; Katherine Metcalf; Leora Morgenstern (DoCoPe@JURIX, 2013)

Classification of Regulatory Paragraphs by Discourse Structure, Reference Structure, and Regulation Type. - Alan Buabuchachart; Katherine Metcalf; Nina Charness; Leora Morgenstern (JURIX, 2013)

Investigating Methods and Representations for Reasoning About Social Context and Relative Social Power. - Katherine Metcalf; David Leake (CONTEXT, 2015)

A Computational Method for Extracting, Representing, and Predicting Social Closeness. - Katherine Metcalf; David B. Leake (ECAI, 2016)

Modelling Unsupervised Event Segmentation: Learning Event Boundaries from Prediction Errors. - Katherine Metcalf; David Leake (CogSci, 2017)

Learning Sharing Behaviors with Arbitrary Numbers of Agents. - Katherine Metcalf; Barry-John Theobald; Nicholas Apostoloff (AAMAS, 2018)

Embedded Word Representations for Rich Indexing: A Case Study for Medical Records. - Katherine Metcalf; David Leake (ICCBR, 2018)

Unsupervised Hierarchical Temporal Abstraction by Simultaneously Learning Expectations and Representations. - Katherine Metcalf; David Leake (IJCAI, 2019)

Mirroring to Build Trust in Digital Assistants. - Katherine Metcalf; Barry-John Theobald; Garrett Weinberg; Robert Lee; Ing-Marie Jonsson; Russ Webb; Nicholas Apostoloff (INTERSPEECH, 2019)

FedEmbed: Personalized Private Federated Learning. - Andrew Silva; Katherine Metcalf; Nicholas Apostoloff; Barry-John Theobald (CoRR, 2022)

Towards a Perceptual Model for Estimating the Quality of Visual Speech. - Zakaria Aldeneh; Masha Fedzechkina; Skyler Seto; Katherine Metcalf; Miguel Sarabia; Nicholas Apostoloff; Barry-John Theobald (CoRR, 2022)

Symbol Guided Hindsight Priors for Reward Learning from Human Preferences. - Mudit Verma; Katherine Metcalf (CoRR, 2022)

Rewards Encoding Environment Dynamics Improves Preference-based Reinforcement Learning. - Katherine Metcalf; Miguel Sarabia; Barry-John Theobald (CoRR, 2022)

Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards. - Katherine Metcalf; Miguel Sarabia; Natalie Mackraz; Barry-John Theobald (CoRL, 2023)

On the Role of LIP Articulation in Visual Speech Perception. - Zakaria Aldeneh; Masha Fedzechkina; Skyler Seto; Katherine Metcalf; Miguel Sarabia; Nicholas Apostoloff; Barry-John Theobald (ICASSP, 2023)

Large Language Models as Generalizable Policies for Embodied Tasks. - Andrew Szot; Max Schwarzer; Harsh Agrawal; Bogdan Mazoure; Walter Talbott; Katherine Metcalf; Natalie Mackraz; R. Devon Hjelm; Alexander Toshev (CoRR, 2023)

Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It's Complicated. - Katherine Metcalf; Miguel Sarabia; Masha Fedzechkina; Barry-John Theobald (AAAI, 2024)

On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization. - Yong Lin; Skyler Seto; Maartje ter Hoeve; Katherine Metcalf; Barry-John Theobald; Xuan Wang; Yizhe Zhang; Chen Huang; Tong Zhang 001 (EMNLP (Findings), 2024)

Hindsight PRIORs for Reward Learning from Human Preferences. - Mudit Verma; Katherine Metcalf (ICLR, 2024)

Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models. - Xavier Suau; Pieter Delobelle; Katherine Metcalf; Armand Joulin; Nicholas Apostoloff; Luca Zappella; Pau Rodríguez (ICML, 2024)

PREDICT: Preference Reasoning by Evaluating Decomposed preferences Inferred from Candidate Trajectories. - Stephane Aroca-Ouellette; Natalie Mackraz; Barry-John Theobald; Katherine Metcalf (CoRR, 2024)

On the Way to LLM Personalization: Learning to Remember User Conversations. - Lucie Charlotte Magister; Katherine Metcalf; Yizhe Zhang; Maartje ter Hoeve (CoRR, 2024)

Steering into New Embedding Spaces: Analyzing Cross-Lingual Alignment Induced by Model Interventions in Multilingual Language Models. - Anirudh Sundar; Sinead Williamson; Katherine Metcalf; Barry-John Theobald; Skyler Seto; Masha Fedzechkina (ACL (1), 2025)

Analyze the Neurons, not the Embeddings: Understanding When and Where LLM Representations Align with Humans. - Masha Fedzechkina; Eleonora Gualdoni; Sinead Williamson; Katherine Metcalf; Skyler Seto; Barry-John Theobald (CoRR, 2025)

Aligning LLMs by Predicting Preferences from User Writing Samples. - Stéphane Aroca-Ouellette; Natalie Mackraz; Barry-John Theobald; Katherine Metcalf (CoRR, 2025)

Investigating Intersectional Bias in Large Language Models using Confidence Disparities in Coreference Resolution. - Falaah Arif Khan; Nivedha Sivakumar; Yinong Oliver Wang; Katherine Metcalf; Cezanne Camacho; Barry-John Theobald; Luca Zappella; Nicholas Apostoloff (CoRR, 2025)