2 citations · 5 across the 14 of their papers we have counts for
14 papers
The Plot Thins: Uniformity and Linearity in Literary Summaries
Rebecca M. M. Hicke, Sil Hamilton, David Mimno +1
Works of literature are complicated; they balance plot, suspense, surprise, and artistic expression. Summaries of literature prioritize plot, and therefore may deviate from their s…
Adopt Adapt: Longitudinal Analyses of LLM Conversations in the Wild
Rebecca M. M. Hicke, Kiran Tomlinson
Although a growing body of research has begun to describe user--LLM interactions, the picture it paints is largely static; little is known about how individual users change their b…
Attention Flows: Tracing LLM Conceptual Engagement via Story Summaries
Rebecca M. M. Hicke, Sil Hamilton, David Mimno +1
Although LLM context lengths have grown, there is evidence that their ability to integrate information across long-form texts has not kept pace. We evaluate one such understanding…
Are You There God? Lightweight Narrative Annotation of Christian Fiction with LMs
Rebecca M. M. Hicke, Brian W. Haggard, Mia Ferrante +2
In addition to its more widely studied cultural movements, American Evangelicalism has a well-developed but less externally visible literary side. Christian Fiction, however, has b…
Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels
Sil Hamilton, Rebecca M. M. Hicke, Matthew Wilkens +1
Although the context length of large language models (LLMs) has increased to millions of tokens, evaluating their effectiveness beyond needle-in-a-haystack approaches has proven di…
The Zero Body Problem: Probing LLM Use of Sensory Language
Rebecca M. M. Hicke, Sil Hamilton, David Mimno
Sensory language expresses embodied experiences ranging from taste and sound to excitement and stomachache. This language is of interest to scholars from a wide range of domains in…
A City of Millions: Mapping Literary Social Networks At Scale
Sil Hamilton, Rebecca M. M. Hicke, David Mimno +1
We release 70,509 high-quality social networks extracted from multilingual fiction and nonfiction narratives. We additionally provide metadata for 30,000 of these texts (73\%…
Looking for the Inner Music: Probing LLMs' Understanding of Literary Style
Rebecca M. M. Hicke, David Mimno
Recent work has demonstrated that language models can be trained to identify the author of much shorter literary passages than has been thought feasible for traditional stylometry.…
Context is Key(NMF): Modelling Topical Information Dynamics in Chinese Diaspora Media
Ross Deans Kristensen-McLachlan, Rebecca M. M. Hicke, Márton Kardos +1
Does the People's Republic of China (PRC) interfere with European elections through ethnic Chinese diaspora media? This question forms the basis of an ongoing research project expl…
Science is Exploration: Computational Frontiers for Conceptual Metaphor Theory
Rebecca M. M. Hicke, Ross Deans Kristensen-McLachlan
Metaphors are everywhere. They appear extensively across all domains of natural language, from the most sophisticated poetry to seemingly dry academic prose. A significant body of…
Says Who? Effective Zero-Shot Annotation of Focalization
Rebecca M. M. Hicke, Yuri Bizzoni, Pascale Feldkamp +1
Focalization describes the way in which access to narrative information is restricted or controlled based on the knowledge available to knowledge of the narrator. It is encoded via…
[Lions: 1] and [Tigers: 2] and [Bears: 3], Oh My! Literary Coreference Annotation with LLMs
Rebecca M. M. Hicke, David Mimno
Coreference annotation and resolution is a vital component of computational literary studies. However, it has previously been difficult to build high quality systems for fiction. C…
T5 meets Tybalt: Author Attribution in Early Modern English Drama Using Large Language Models
Rebecca M. M. Hicke, David Mimno
Large language models have shown breakthrough potential in many NLP domains. Here we consider their use for stylometry, specifically authorship identification in Early Modern Engli…
Word Clouds in the Wild
Rebecca M. M. Hicke, Maanya Goenka, Eric Alexander
Word clouds are frequently used to analyze and communicate text data in many domains. In order to help guide research on improving the legibility of word clouds, we have conducted…