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Derek Powell

2 accepted papers

2025

Evaluating Large Language Models for Belief Inference: Mapping Belief Networks at Scale

EMNLP 2025

Beliefs are interconnected, influencing how people process and update what they think. To study the interconnectedness of beliefs at scale, we introduce a novel analytical pipeline leveraging a finetuned GPT-4o model to infer belief structures from large-scale social media data. We evaluate the mode

Cited by 0SourcePDFScholar
2024

TAXI: Evaluating Categorical Knowledge Editing for Language Models

ACL 2024findings

Humans rarely learn one fact in isolation. Instead, learning a new fact induces knowledge of other facts about the world. For example, in learning a korat is a type of cat, you also infer it is a mammal and has claws, ensuring your model of the world is consistent. Knowledge editing aims to inject n…