David Mimno

Cornell University — United States

Computer Science · Physical Sciences

34h-index8.0kcitations140works2.32yr avg
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Research Topics

Topic Modeling(65), Natural Language Processing Techniques(34), Computational and Text Analysis Methods(26), Advanced Text Analysis Techniques(15), Digital Humanities and Scholarship(9)

Publications140 total

Castles, Battlefields, and Continents: A Dataset of Maps from Literature
2025Open Access
Are You There God? Lightweight Narrative Annotation of Christian Fiction with LMs
2025Open Access
Agent Bain vs. Agent McKinsey: A New Text-to-SQL Benchmark for the Business Domain
arXiv (Cornell University)·2025Open Access
Show or Tell? Modeling the evolution of request-making in Human-LLM conversations
arXiv (Cornell University)·2025Open Access
Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels
arXiv (Cornell University)·2025Open Access
Cheaper, Better, Faster, Stronger: Robust Text-to-SQL without Chain-of-Thought or Fine-Tuning
arXiv (Cornell University)·2025Open Access
Large Language Models in Qualitative Research: Uses, Tensions, and Intentions
2025· 13 citedOpen Access
Data Paradigms in the Era of LLMs: On the Opportunities and Challenges of Qualitative Data in the WILD
2025
The Zero Body Problem: Probing LLM Use of Sensory Language
arXiv (Cornell University)·2025Open Access
Do Chinese models speak Chinese languages?
arXiv (Cornell University)·2025Open Access
Provocations from the Humanities for Generative AI Research
arXiv (Cornell University)·2025· 1 citedOpen Access
A City of Millions: Mapping Literary Social Networks At Scale
arXiv (Cornell University)·2025Open Access
Lost in Space: Finding the Right Tokens for Structured Output
arXiv (Cornell University)·2025Open Access
Looking for the Inner Music: Probing LLMs' Understanding of Literary Style
arXiv (Cornell University)·2025Open Access
<i>Looking for the inner music</i>: Probing LLMs’ understanding of literary style
Computational Humanities Research·2025Open Access
A City of Millions: Mapping Literary Social Networks At Scale
2025Open Access
Automate or Assist? The Role of Computational Models in Identifying Gendered Discourse in US Capital Trial Transcripts
Proceedings of the AAAI/ACM Conference on AI Ethics and Society·2024· 2 citedOpen Access
Large Language Models in Qualitative Research: Uses, Tensions, and Intentions
arXiv (Cornell University)·2024· 6 citedOpen Access
Judicial self fashioning: Rhetorical performance in Supreme Court opinions
Discourse Studies·2024
Automate or Assist? The Role of Computational Models in Identifying Gendered Discourse in US Capital Trial Transcripts
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Andrew McCallum(8), Hanna Wallach(7), Andrew McCallum(6), David M. Blei(5), Alexandra Schofield(4), Laure Thompson(4), Jordan Boyd‐Graber(3), Maria Antoniak(3), Eric P. S. Baumer(3), Shion Guha(3), Edmund M. Talley(2), Yuening Hu(2), Emily Quan(2), Geri Gay(2), Sanjeev Arora(2), Yoni Halpern(2), Ankur Moitra(2), David Sontag(2), Yichen Wu(2), Michael Zhu(2)