Culture and Computation Lab members outside a Cornell University building

Culture and
Computation Lab

The Culture and Computation Lab is a lab at Cornell University specializing in the intersection of the arts, social sciences, and engineering. Our work builds on research in cultural analytics, natural language processing, digital humanities, legal studies, etc.

Read more about our work here, and see our members here.

Publications

Lab publications, newest first
DatePublication

InvestigationWorlds: An Agentic Environment for Legal Investigation

A. Sun, Andrew Benard, Sil Hamilton, Anna Teresita A. Marcelo, Yong Jae Kim, Carl-Leander Henneking, Run-Dong Hu, Yu-Hong Wang, David Mimno, Bi-Shan Yang, et al.

CorporateBench: Large-Scale Q&A Benchmarking with Temporal Knowledge Bases

Sil Hamilton, A. Sun, Óscar Romero, Carl-Leander Henneking, David Mimno, Bizheng Yang, I. Labutov

The Plot Thins: Uniformity and Linearity in Literary Summaries

Rebecca M. M. Hicke, Sil Hamilton, David Mimno, Ross Kristensen-mclachlan

An All-in-One Attack: Microneedle-Delivered Bio-Hybrid Nanoagonist for Tumor Immunotherapy.

Ang Li, X. Shan, Shengqi Zhu, Zheng Liu, Shuqi Guo, Jian Meng

ACS Applied Bio Materials, 2026

Attention Flows: Tracing LLM Conceptual Engagement via Story Summaries

Rebecca M. M. Hicke, Sil Hamilton, David Mimno, Ross Kristensen-mclachlan

arXiv.org, 2026

VERT: Reliable LLM Judges for Radiology Report Evaluation

Federica Bologna, Jean-Philippe Corbeil, M. Wilkens, Asma Ben Abacha

arXiv.org, 2026

Are LLMs Overkill for Databases?: A Study on the Finiteness of SQL

Yue Li, David Mimno, Unso Eun Seo Jo

arXiv.org, 2026

Fiction Flows: A Replication and Reinterpretation of Narrative Sequentiality

Andrew Piper, Sil Hamilton, Haiqi Zhou, Federico Pianzola

Annual Meeting of the Association for Computational Linguistics, 2026

When Do LLMs Need Human Experts? Evidence for Social Science from Jurisprudential Classification

Caroline Cheng, Edward H. Stiglitz, David Mimno, Matthew Wilkens

Proceedings of the Seventh Workshop on Natural Language Processing and Computational Social Science, 2026

Adopt ≤ Adapt: Longitudinal Analyses of LLM Conversations in the Wild

Rebecca M. M. Hicke, Kiran Tomlinson

arXiv.org, 2026

Zero-shot Methods for Historical Text Restoration

Kiara M. H. Liu, M. Mueller, M. Wilkens

Anthology of Computers and the Humanities, 2025

Causal Effect of Character Gender on Readers’ Preferences

Federica Bologna, Ian Lundberg, M. Wilkens

Proceedings of the Computational Humanities Research Conference ..., 2025

Castles, Battlefields, and Continents: A Dataset of Maps from Literature

A. Bax, David Mimno, M. Wilkens

Anthology of Computers and the Humanities, 2025

CQA-Eval: Designing Reliable Evaluations of Multi-paragraph Clinical QA under Resource Constraints

Federica Bologna, Tiffany S Pan, M. Wilkens, Yue Guo, Lucy Lu Wang

NarraBench: A Comprehensive Framework for Narrative Benchmarking

Sil Hamilton, Matthew Wilkens, Andrew Piper

Conference of the European Chapter of the Association for Computational Linguistics, 2025

Agent Bain vs. Agent McKinsey: A New Text-to-SQL Benchmark for the Business Domain

Yue Li, Ran Tao, Derek Hommel, Yusuf Denizay Dönder, Sungyong Chang, David Mimno, Unso Eun Seo Jo

arXiv.org, 2025

Show or Tell? Modeling the evolution of request-making in Human-LLM conversations

Shengqi Zhu, Jeffrey M. Rzeszotarski, David Mimno

Conference of the European Chapter of the Association for Computational Linguistics, 2025

Are You There God? Lightweight Narrative Annotation of Christian Fiction with LMs

Rebecca M. M. Hicke, Brian Haggard, M. Ferrante, Rayhan Khanna, David Mimno

Anthology of Computers and the Humanities, 2025

Cheaper, Better, Faster, Stronger: Robust Text-to-SQL without Chain-of-Thought or Fine-Tuning

Yusuf Denizay Donder, Derek Hommel, Andrea Wen-Yi Wang, David Mimno, Unso Eun Seo Jo

arXiv.org, 2025

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels

Sil Hamilton, Rebecca M. M. Hicke, M. Ferrante, Matthew Wilkens, David Mimno

LaTeCH-CLfL, 2025

Data Paradigms in the Era of LLMs: On the Opportunities and Challenges of Qualitative Data in the WILD

Shengqi Zhu, Jeffrey M. Rzeszotarski, David Mimno

CHI Extended Abstracts, 2025

The Zero Body Problem: Probing LLM Use of Sensory Language

Rebecca M. M. Hicke, Sil Hamilton, David Mimno

arXiv.org, 2025

Tasks and Roles in Legal AI: Data Curation, Annotation, and Verification

Allison Koenecke, Edward H. Stiglitz, David Mimno, Matthew Wilkens

arXiv.org, 2025

Endometriosis Communities on Reddit: Quantitative Analysis

Federica Bologna, Rosamond Thalken, K. Pepin, M. Wilkens

Journal of Medical Internet Research, 2025

Do Chinese models speak Chinese languages?

A. Wang, Unso Eun Seo Jo, David Mimno

Conference on Fairness, Accountability and Transparency, 2025

Million Eyes on the “Robot Umps”: The Case for Studying Sports in HRI Through Baseball

Waki Kamino, Andrea W. Wen-Yi, Dhruv Agarwal, Sil Hamilton, Eun Jeong Kang, Jieun Kim, Keigo Kusumegi, Pegah Moradi, Daniel Mwesigwa, Yan Tao, et al.

IEEE/ACM International Conference on Human-Robot Interaction, 2025

Provocations from the Humanities for Generative AI Research

Lauren Klein, Meredith Martin, André Brock, Maria Antoniak, Melanie Walsh, Jessica M. Johnson, Lauren Tilton, David Mimno

arXiv.org, 2025

A City of Millions: Mapping Literary Social Networks At Scale

Sil Hamilton, Rebecca M. M. Hicke, David Mimno, Matthew Wilkens

Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities, 2025

Lost in Space: Finding the Right Tokens for Structured Output

Sil Hamilton, David Mimno

IEEE Games Entertainment Media Conference, 2025

Looking for the Inner Music: Probing LLMs' Understanding of Literary Style

Rebecca M. M. Hicke, David M. Mimno

Computational Humanities Research, 2025

SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models

Margaret Mitchell, Hamdan Al-Ali, Giuseppe Attanasio, Ioana Baldini, Miruna Clinciu, Jordan Clive, Pieter Delobelle, Manan Dey, Kaustubh D. Dhole, Timm Dill, et al.

North American Chapter of the Association for Computational Linguistics, 2025

Lost in Space: Optimizing Tokens for Grammar-Constrained Decoding

Sil Hamilton, David Mimno

arXiv.org, 2025

Context is Key(NMF): Modelling Topical Information Dynamics in Chinese Diaspora Media

R. Kristensen-Mclachlan, Rebecca M. M. Hicke, Márton Kardos, M. Thunø

Workshop on Computational Humanities Research, 2024

Quilt: Custom UIs for Linking Unstructured Documents to Structured Datasets

Pragya Kallanagoudar, Chithra Anand, Rolando Garcia, Rebecca M. M. Hicke, Aditya G. Parameswaran, Eunice Jun, Sarah E. Chasins

ACM Symposium on User Interface Software and Technology, 2024

SCIENCE IS EXPLORATION: Computational Frontiers for Conceptual Metaphor Theory

Rebecca M. M. Hicke, R. Kristensen-Mclachlan

Workshop on Computational Humanities Research, 2024

Large Language Models in Qualitative Research: Uses, Tensions, and Intentions

Hope Schroeder, Marianne Aubin Le Quéré, Casey Randazzo, David Mimno, S. Schoenebeck

International Conference on Human Factors in Computing Systems, 2024

Judicial self fashioning: Rhetorical performance in Supreme Court opinions

Rosamond Thalken, David M. Mimno, Matthew Wilkens

Discourse Studies, 2024

Says Who? Effective Zero-Shot Annotation of Focalization

Rebecca M. M. Hicke, Yuri Bizzoni, Pascale Feldkamp, R. Kristensen-Mclachlan

Anthology of Computers and the Humanities, 2024

Endometriosis Online Communities: How Machine Learning Can Help Physicians Understand What Patients Are Discussing Online.

K. Pepin, Federica Bologna, Rosamond Thalken, Matthew Wilkens

Journal of minimally invasive gynecology, 2024

Automate or Assist? The Role of Computational Models in Identifying Gendered Discourse in US Capital Trial Transcripts

Andrea Wen-Yi Wang, Kathryn Adamson, Nathalie Greenfield, Rachel Goldberg, Sandra Babcock, David Mimno, Allison Koenecke

AAAI/ACM Conference on AI, Ethics, and Society, 2024

How Chinese are Chinese Language Models? The Puzzling Lack of Language Policy in China's LLMs

Andrea Wen-Yi Wang, Unso Eun Seo Jo, Lu Lin, David Mimno

arXiv.org, 2024

What We Talk About When We Talk About LMs: Implicit Paradigm Shifts and the Ship of Language Models

Shengqi Zhu, Jeffrey M. Rzeszotarski

North American Chapter of the Association for Computational Linguistics, 2024

LLMs as Research Tools: Applications and Evaluations in HCI Data Work

Marianne Aubin Le Quéré, Hope Schroeder, Casey Randazzo, Jie Gao, Ziv Epstein, S. Perrault, David Mimno, Louise Barkhuus, Hanlin Li

CHI Extended Abstracts, 2024

Stronger Random Baselines for In-Context Learning

Gregory Yauney, David M. Mimno

arXiv.org, 2024

Endometriosis Online Communities: A Quantitative Analysis

Federica Bologna, MS Rosamond Thalken, K. Pepin, M. Wilkens

medRxiv, 2024

The Afterlives of Shakespeare and Company in Online Social Readership

Maria Antoniak, David M. Mimno, Rosamond Thalken, Melanie Walsh, Matthew Wilkens, Gregory Yauney

Journal of Cultural Analytics, 2024

Large Language Models in Qualitative Research: Can We Do the Data Justice?

Hope Schroeder, Marianne Aubin Le Quéré, Casey Randazzo, David Mimno, S. Schoenebeck

arXiv.org, 2024

Contextualized Topic Coherence Metrics

Hamed Rahimi, David M. Mimno, Jacob Louis Hoover, Hubert Naacke, Camélia Constantin, Bernd Amann

Findings, 2024

"Get Their Hands Dirty, Not Mine": On Researcher-Annotator Collaboration and the Agency of Annotators

Shengqi Zhu, Jeffrey M. Rzeszotarski

Annual Meeting of the Association for Computational Linguistics, 2024

Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token Embeddings

Andrea Wen-Yi Wang, David Mimno

Conference on Empirical Methods in Natural Language Processing, 2023

Data Similarity is Not Enough to Explain Language Model Performance

Gregory Yauney, Emily Reif, David M. Mimno

Conference on Empirical Methods in Natural Language Processing, 2023

Report of the 1st Workshop on Generative AI and Law

A. F. Cooper, Katherine Lee, James Grimmelmann, Daphne Ippolito, Christopher Callison-Burch, Christopher A. Choquette-Choo, Niloofar Mireshghallah, Miles Brundage, David Mimno, M. Z. Choksi, et al.

Social Science Research Network, 2023

T5 meets Tybalt: Author Attribution in Early Modern English Drama Using Large Language Models

Rebecca M. M. Hicke, David M. Mimno

Workshop on Computational Humanities Research, 2023

Modeling Legal Reasoning: LM Annotation at the Edge of Human Agreement

Rosamond Thalken, Edward H. Stiglitz, David M. Mimno, Matthew Wilkens

Conference on Empirical Methods in Natural Language Processing, 2023

Deep distant reading: The rise of realism in Scandinavian literature as a case study

Jens Bjerring-Hansen, Matthew Wilkens

Orbis Litterarum, 2023

Establishing Connectivity and Trust in High Schools During COVID-19

L. De Leon, Matthew Wilkens

The Scholarship Without Borders Journal, 2023

More than Classification: A Unified Framework for Event Temporal Relation Extraction

Quzhe Huang, Yutong Hu, Shengqi Zhu, Yan-Song Feng, Chang Liu, Dongyan Zhao

Annual Meeting of the Association for Computational Linguistics, 2023

Grounding Characters and Places in Narrative Text

Sandeep Soni, Amanpreet Sihra, Elizabeth F. Evans, Matthew Wilkens, David Bamman

Annual Meeting of the Association for Computational Linguistics, 2023

A Pretrainer’s Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity

S. Longpre, Gregory Yauney, Emily Reif, Katherine Lee, Adam Roberts, Barret Zoph, Denny Zhou, Jason Wei, Kevin Robinson, David M. Mimno, et al.

North American Chapter of the Association for Computational Linguistics, 2023

Sensemaking About Contraceptive Methods Across Online Platforms

L. McDowall, Maria Antoniak, David M. Mimno

International Conference on Web and Social Media, 2023

The Chatbot and the Canon: Poetry Memorization in LLMs

Lyra D'Souza, David Mimno

Workshop on Computational Humanities Research, 2023

Mrs. Dalloway Said She Would Segment the Chapters Herself

Pei-Qi Sui, Lin Wang, S. Hamilton, Thorsten Ries, Kelvin Wong, Stephen Wong

WNU, 2023

MultiHATHI: A Complete Collection of Multilingual Prose Fiction in the HathiTrust Digital Library

S. Hamilton, Andrew Piper

Journal of Open Humanities Data, 2023

Large Language Models and NER: better results with less work

Rosamond Thalken, Matthew Wilkens, David M. Mimno

Digital Humanities Conference, 2023

The COVID That Wasn’t: Counterfactual Journalism Using GPT

S. Hamilton, Andrew Piper

LATECHCLFL, 2022

Breaking BERT: Evaluating and Optimizing Sparsified Attention

Siddhartha Brahma, Polina Zablotskaia, David M. Mimno

arXiv.org, 2022

Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model

Jacob Eisenstein, D. Andor, Bernd Bohnet, Michael Collins, David M. Mimno

arXiv.org, 2022

Word Clouds in the Wild

Rebecca M. M. Hicke, Maanya Goenka, E. Alexander

2022 IEEE 7th Workshop on Visualization for the Digital Humanities (VIS4DH), 2022

Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED

Quzhe Huang, Shi-Bo Hao, Yuan Ye, Shengqi Zhu, Yan-Song Feng, Dongyan Zhao

Annual Meeting of the Association for Computational Linguistics, 2022

On-the-fly Rectification for Robust Large-Vocabulary Topic Inference

Moontae Lee, Sungjun Cho, Kun Dong, David M. Mimno, D. Bindel

International Conference on Machine Learning, 2021

Open bibliographic data and the Italian National Scientific Qualification: Measuring coverage of academic fields

Federica Bologna, A. Di Iorio, S. Peroni, Francesco Poggi

Quantitative Science Studies, 2021

‘Tecnologica cosa’: Modeling Storyteller Personalities in Boccaccio’s ‘Decameron’

A. Feder Cooper, Maria Antoniak, Christopher Sa, Marilyn Migiel, David M. Mimno

LATECHCLFL, 2021

Comparing Text Representations: A Theory-Driven Approach

Gregory Yauney, David M. Mimno

Conference on Empirical Methods in Natural Language Processing, 2021

Reply to Linton: Perspectival interference up close

Jorge Morales, Axel Bax, C. Firestone

Proceedings of the National Academy of Sciences of the United States of America, 2021

Too isolated, too insular: American Literature and the World

Matthew Wilkens

Journal of Cultural Analytics, 2021

Academics evaluating academics: a methodology to inform the review process on top of open citations

Federica Bologna, A. Di Iorio, S. Peroni, Francesco Poggi

arXiv.org, 2021

Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction

Quzhe Huang, Shengqi Zhu, Yan-Song Feng, Yuan Ye, Yuxuan Lai, Dongyan Zhao

Annual Meeting of the Association for Computational Linguistics, 2021

Exploring Distantly-Labeled Rationales in Neural Network Models

Quzhe Huang, Shengqi Zhu, Yan-Song Feng, Dongyan Zhao

Annual Meeting of the Association for Computational Linguistics, 2021

Separating the wheat from the chaff: A topic and keyword-based procedure for identifying research-relevant text*✰

Alicia Eads, Alexandra Schofield, Fauna Mahootian, David M. Mimno, Rens Wilderom

Poetics, 2021

Proceedings of the 4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021)

Ali Hrriyetoglu, Hristo Tanev, Vanni Zavarella, Osman Mutlu, Erdem Yrk, Aline Villavicencio, J. Piskorski, Tommaso Caselli, B. Raja, A. Chakravarthi, et al.

Towards Hybrid Human-Machine Workflow for Natural Language Generation

Heloisa Candello, Stevie Chancellor, S. Ernala, Mitchell A. Gordon, Huda Khayrallah, Geza Kovacs, Narges Mahyar, David Mimno, Swati Mishra, Carolyn P. Rosé, et al.

HCINLP, 2021

Finding Domain-Specific Grounding in Noisy Visual-Textual Documents

Gregory Yauney, Jack Hessel, David M. Mimno

Conference on Empirical Methods in Natural Language Processing, 2020

Topic Modeling with Contextualized Word Representation Clusters

Laure Thompson, David M. Mimno

arXiv.org, 2020

Sustained representation of perspectival shape

Jorge Morales, Axel Bax, C. Firestone

Proceedings of the National Academy of Sciences of the United States of America, 2020

Imagined Examples of Painful Experiences Provided by Chronic Low Back Pain Patients and Attributed a Pain Numerical Rating Score

R. Griffin, Maria Antoniak, P. Mac, Vladimir N. Kramskiy, S. Waldman, David M. Mimno

Frontiers in Neuroscience, 2020

Making, Preserving, and Curating Born-Digital Literature

Anastasia Salter, Marjorie C. Luesebrink, Dene Grigar, Leonardo Flores, Julian Ankney, Nicholas Binford, Kathryn Manis, Ricardo A. Ramirez, Troy Rowden, R. Snyder, et al.

Classification

Matthew L. Jockers, Rosamond Thalken

Text Analysis with R, 2020

Part of Speech Tagging and Named Entity Recognition

Matthew L. Jockers, Rosamond Thalken

Text Analysis with R

Matthew L. Jockers, Rosamond Thalken

Quantitative Methods in the Humanities and Social Sciences, 2020

Constructing and Analyzing Short Science Fiction at Scale

Laure Thompson, David M. Mimno

Digital Humanities Conference, 2020

Topic Modeling

Matthew L. Jockers, Rosamond Thalken

Text Analysis with R, 2020

Token Distribution and Regular Expressions

Matthew L. Jockers, Rosamond Thalken

Parsing and Analyzing Hamlet

Matthew L. Jockers, Rosamond Thalken

Token Distribution Analysis

Matthew L. Jockers, Rosamond Thalken

Text Analysis with R, 2020

Network Analysis Finds Shifts in the History of Modern Architecture

Gregory Yauney, David M. Mimno

Digital Humanities Conference, 2020

Introduction to dplyr

Matthew L. Jockers, Rosamond Thalken

Do It KWIC(er) (and Better)

Matthew L. Jockers, Rosamond Thalken

R Basics

Matthew L. Jockers, Rosamond Thalken

Text Analysis with R, 2020

Correlation

Matthew L. Jockers, Rosamond Thalken

Text Analysis with R, 2020

Parsing TEI XML

Matthew L. Jockers, Rosamond Thalken

Replication and Computational Literary Studies

Christof Schöch, K. Dalen-Oskam, Maria Antoniak, Fotis Jannidis, David M. Mimno

Digital Humanities Conference, 2020

Prior-aware Composition Inference for Spectral Topic Models

Moontae Lee, D. Bindel, David M. Mimno

International Conference on Artificial Intelligence and Statistics, 2020

Sentiment Analysis

Matthew L. Jockers, Rosamond Thalken

Text Analysis with R, 2020

First Foray into Text Analysis with R

Matthew L. Jockers, Rosamond Thalken

Text Analysis with R, 2020

Measures of Lexical Variety

Matthew L. Jockers, Rosamond Thalken

Text Analysis with R, 2020

Do It KWIC

Matthew L. Jockers, Rosamond Thalken

Text Analysis with R, 2020

Hapax Richness

Matthew L. Jockers, Rosamond Thalken

Text Analysis with R, 2020

Accessing and Comparing Word Frequency Data

Matthew L. Jockers, Rosamond Thalken

Text Analysis with R, 2020

Narrative Paths and Negotiation of Power in Birth Stories

Maria Antoniak, David M. Mimno, K. Levy

Proc. ACM Hum. Comput. Interact., 2019

The Cultural Economies of Digital Books

Matthew Wilkens

American Literary History, 2019

Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm

Moontae Lee, Sungjun Cho, D. Bindel, David M. Mimno

Conference on Empirical Methods in Natural Language Processing, 2019

How We Do Things With Words: Analyzing Text as Social and Cultural Data

Dong Nguyen, Maria Liakata, S. Dedeo, Jacob Eisenstein, David Mimno, Rebekah Tromble, J. Winters

Frontiers in Artificial Intelligence, 2019

Boosted negative sampling by quadratically constrained entropy maximization

Taygun Kekeç, David M. Mimno, D. Tax

Pattern Recognition Letters, 2019

Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents

Jack Hessel, Lillian Lee, David M. Mimno

Conference on Empirical Methods in Natural Language Processing, 2019