Services for a customizable authority linking environment. - M. S. Patton; David M. Mimno (JCDL, 2004)

Finding a catalog: generating analytical catalog records from well-structured digital texts. - David M. Mimno; Alison Jones; Gregory R. Crane (JCDL, 2005)

Hierarchical Catalog Records: Implementing a FRBR Catalog. - David M. Mimno; Gregory R. Crane; Alison Jones (D Lib Mag., 2005)

Beyond Digital Incunabula: Modeling the Next Generation of Digital Libraries. - Gregory R. Crane; David Bamman; Lisa Cerrato; Alison Jones; David M. Mimno; Adrian Packel; David Sculley; Gabriel Weaver (ECDL, 2006)

Bibliometric impact measures leveraging topic analysis. - Gideon S. Mann; David M. Mimno; Andrew McCallum (JCDL, 2006)

Mixtures of hierarchical topics with Pachinko allocation. - David M. Mimno; Wei Li 010; Andrew McCallum (ICML, 2007)

Mining a digital library for influential authors. - David M. Mimno; Andrew McCallum (JCDL, 2007)

Organizing the OCA: learning faceted subjects from a library of digital books. - David M. Mimno; Andrew McCallum (JCDL, 2007)

Expertise modeling for matching papers with reviewers. - David M. Mimno; Andrew McCallum (KDD, 2007)

InterNano: e-Science for the Nanomanufacturing Community. - Rebecca Reznik-Zellen; Bob Stevens; Michael Thorn; Jeff Morse; Mark D. Smucker; James Allan; David M. Mimno; Andrew McCallum; Mark Tuominen (eScience, 2008)

Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression. - David M. Mimno; Andrew McCallum (UAI, 2008)

Polylingual Topic Models. - David M. Mimno; Hanna M. Wallach; Jason Naradowsky; David A. Smith; Andrew McCallum (EMNLP, 2009)

Evaluation methods for topic models. - Hanna M. Wallach; Iain Murray 001; Ruslan Salakhutdinov; David M. Mimno (ICML, 2009)

Efficient methods for topic model inference on streaming document collections. - Limin Yao; David M. Mimno; Andrew McCallum (KDD, 2009)

Rethinking LDA: Why Priors Matter. - Hanna M. Wallach; David M. Mimno; Andrew McCallum (NIPS, 2009)

Classics in the Million Book Library. - Gregory R. Crane; Alison Babeu; David Bamman; Thomas M. Breuel; Lisa Cerrato; Daniel Deckers; Anke Lüdeling; David M. Mimno; Rashmi Singhal; David A. Smith; Amir Zeldes (Digit. Humanit. Q., 2009)

Bayesian Checking for Topic Models. - David M. Mimno; David M. Blei (EMNLP, 2011)

Optimizing Semantic Coherence in Topic Models. - David M. Mimno; Hanna M. Wallach; Edmund M. Talley; Miriam Leenders; Andrew McCallum (EMNLP, 2011)

Reconstructing Pompeian Households. - David M. Mimno (UAI, 2011)

Topic Modeling the Past. - Robert K. Nelson; David Mimno; Travis Brown (DH, 2012)

Sparse stochastic inference for latent Dirichlet allocation. - David M. Mimno; Matthew D. Hoffman; David M. Blei (ICML, 2012)

Topic models for taxonomies. - Anton Bakalov; Andrew McCallum; Hanna M. Wallach; David M. Mimno (JCDL, 2012)

Scalable Inference of Overlapping Communities. - Prem Gopalan; David M. Mimno; Sean Gerrish; Michael J. Freedman; David M. Blei (NIPS, 2012)

Computational historiography: Data mining in a century of classics journals. - David M. Mimno (ACM Journal on Computing and Cultural Heritage, 2012)

A Practical Algorithm for Topic Modeling with Provable Guarantees. - Sanjeev Arora; Rong Ge 001; Yonatan Halpern; David M. Mimno; Ankur Moitra; David A. Sontag; Yichen Wu; Michael Zhu (ICML (2), 2013)

The Telltale Hat: LDA and Classification Problems in a Large Folklore Corpus. - David Mimno; Peter M. Broadwell; Timothy R. Tangherlini (DH, 2014)

Low-dimensional Embeddings for Interpretable Anchor-based Topic Inference. - David M. Mimno; Moontae Lee (EMNLP, 2014)

Care and Feeding of Topic Models. - Jordan L. Boyd-Graber; David M. Mimno; David Newman (Handbook of Mixed Membership Models and Their Applications, 2014)

Evaluation methods for unsupervised word embeddings. - Tobias Schnabel; Igor Labutov; David M. Mimno; Thorsten Joachims (EMNLP, 2015)

Robust Spectral Inference for Joint Stochastic Matrix Factorization. - Moontae Lee; David Bindel; David M. Mimno (NIPS, 2015)

What do Vegans do in their Spare Time? Latent Interest Detection in Multi-Community Networks. - Jack Hessel; Alexandra Schofield; Lillian Lee; David M. Mimno (CoRR, 2015)

Machine Learning and Grounded Theory Method: Convergence, Divergence, and Combination. - Michael J. Muller; Shion Guha; Eric P. S. Baumer; David M. Mimno; N. Sadat Shami (GROUP, 2016)

Beyond Exchangeability: The Chinese Voting Process. - Moontae Lee; Seok Hyun Jin; David M. Mimno (NIPS, 2016)

Comparing Apples to Apple: The Effects of Stemmers on Topic Models. - Alexandra Schofield; David M. Mimno (Trans. Assoc. Comput. Linguistics, 2016)

Pulling Out the Stops: Rethinking Stopword Removal for Topic Models. - Alexandra Schofield; Måns Magnusson; David M. Mimno (EACL (2), 2017)

The strange geometry of skip-gram with negative sampling. - David M. Mimno; Laure Thompson (EMNLP, 2017)

Quantifying the Effects of Text Duplication on Semantic Models. - Alexandra Schofield; Laure Thompson; David M. Mimno (EMNLP, 2017)

Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity. - Jack Hessel; Lillian Lee; David M. Mimno (WWW, 2017)

Prior-aware Dual Decomposition: Document-specific Topic Inference for Spectral Topic Models. - Moontae Lee; David Bindel; David M. Mimno (CoRR, 2017)

Applications of Topic Models. - Jordan L. Boyd-Graber; Yuening Hu; David M. Mimno (Found. Trends Inf. Retr., 2017)

Comparing grounded theory and topic modeling: Extreme divergence or unlikely convergence? - Eric P. S. Baumer; David M. Mimno; Shion Guha; Emily Quan; Geri K. Gay (J. Assoc. Inf. Sci. Technol., 2017)

Authorless Topic Models: Biasing Models Away from Known Structure. - Laure Thompson; David Mimno (COLING, 2018)

Quantifying the Visual Concreteness of Words and Topics in Multimodal Datasets. - Jack Hessel; David M. Mimno; Lillian Lee (NAACL-HLT, 2018)

Learning topic models - provably and efficiently. - Sanjeev Arora; Rong Ge 001; Yoni Halpern; David M. Mimno; Ankur Moitra; David A. Sontag; Yichen Wu; Michael Zhu (Commun. ACM, 2018)

Evaluating the Stability of Embedding-based Word Similarities. - Maria Antoniak; David Mimno (Trans. Assoc. Comput. Linguistics, 2018)

Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents. - Jack Hessel; Lillian Lee; David Mimno (EMNLP/IJCNLP (1), 2019)

Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm. - Moontae Lee; Sungjun Cho; David Bindel; David Mimno (EMNLP/IJCNLP (1), 2019)

Narrative Paths and Negotiation of Power in Birth Stories. - Maria Antoniak; David Mimno; Karen Levy (Proc. ACM Hum. Comput. Interact., 2019)

Boosted negative sampling by quadratically constrained entropy maximization. - Taygun Kekeç; David Mimno; David M. J. Tax (Pattern Recognit. Lett., 2019)

Prior-aware Composition Inference for Spectral Topic Models. - Moontae Lee; David Bindel; David Mimno (AISTATS, 2020)

Replication and Computational Literary Studies. - Christof Schöch; Karina van Dalen-Oskam; Maria Antoniak; Fotis Jannidis; David Mimno (DH, 2020)

Constructing and Analyzing Short Science Fiction at Scale. - Laure Thompson; David Mimno (DH, 2020)

Network Analysis Finds Shifts in the History of Modern Architecture. - Gregory Yauney; David Mimno (DH, 2020)

Domain-Specific Lexical Grounding in Noisy Visual-Textual Documents. - Gregory Yauney; Jack Hessel; David Mimno (EMNLP (1), 2020)

Topic Modeling with Contextualized Word Representation Clusters. - Laure Thompson; David Mimno (CoRR, 2020)

How We Do Things With Words: Analyzing Text as Social and Cultural Data. - Dong Nguyen 002; Maria Liakata; Simon DeDeo; Jacob Eisenstein; David Mimno; Rebekah Tromble; Jane Winters (Frontiers Artif. Intell., 2020)

Bad Seeds: Evaluating Lexical Methods for Bias Measurement. - Maria Antoniak; David Mimno (ACL/IJCNLP (1), 2021)

Comparing Text Representations: A Theory-Driven Approach. - Gregory Yauney; David Mimno (EMNLP (1), 2021)

On-the-fly Rectification for Robust Large-Vocabulary Topic Inference. - Moontae Lee; Sungjun Cho; Kun Dong; David Mimno; David Bindel (ICML, 2021)

Tecnologica cosa: Modeling Storyteller Personalities in Boccaccio's Decameron. - A. Feder Cooper; Maria Antoniak; Christopher De Sa; Marilyn Migiel; David Mimno (CoRR, 2021)

Tags, Borders, and Catalogs: Social Re-Working of Genre on LibraryThing. - Maria Antoniak; Melanie Walsh; David Mimno (Proc. ACM Hum. Comput. Interact., 2021)

Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model. - Jacob Eisenstein; Daniel Andor; Bernd Bohnet; Michael Collins 001; David Mimno (CoRR, 2022)

Breaking BERT: Evaluating and Optimizing Sparsified Attention. - Siddhartha Brahma; Polina Zablotskaia; David Mimno (CoRR, 2022)

The Chatbot and the Canon: Poetry Memorization in LLMs. - Lyra D'Souza; David Mimno (CHR, 2023)

T5 meets Tybalt: Author Attribution in Early Modern English Drama Using Large Language Models. - Rebecca M. M. Hicke; David Mimno (CHR, 2023)

Large Language Models and NER: better results with less work. - Rosamond Elizabeth Thalken; Matthew Wilkens; David Mimno (DH, 2023)

Modeling Legal Reasoning: LM Annotation at the Edge of Human Agreement. - Rosamond Elizabeth Thalken; Edward H. Stiglitz; David Mimno; Matthew Wilkens (EMNLP, 2023)

Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token Embeddings. - Andrea W. Wen-Yi; David Mimno (EMNLP, 2023)

Data Similarity is Not Enough to Explain Language Model Performance. - Gregory Yauney; Emily Reif; David Mimno (EMNLP, 2023)

Report of the 1st Workshop on Generative AI and Law. - A. Feder Cooper; Katherine Lee; James Grimmelmann; Daphne Ippolito; Christopher Callison-Burch; Christopher A. Choquette-Choo; Niloofar Mireshghallah; Miles Brundage; David Mimno; Madiha Zahrah Choksi; Jack M. Balkin; Nicholas Carlini; et al. (CoRR, 2023)

Automate or Assist? The Role of Computational Models in Identifying Gendered Discourse in US Capital Trial Transcripts. - Andrea W. Wen-Yi; Kathryn Adamson; Nathalie Greenfield; Rachel Goldberg; Sandra Babcock; David Mimno; Allison Koenecke (AIES (1), 2024)

LLMs as Research Tools: Applications and Evaluations in HCI Data Work. - Marianne Aubin Le Quéré; Hope Schroeder; Casey Randazzo; Jie Gao; Ziv Epstein; Simon Tangi Perrault; David Mimno; Louise Barkhuus; Hanlin Li (CHI Extended Abstracts, 2024)

Contextualized Topic Coherence Metrics. - Hamed Rahimi; David Mimno; Jacob Louis Hoover; Hubert Naacke; Camélia Constantin; Bernd Amann (EACL (Findings), 2024)

Sensemaking about Contraceptive Methods across Online Platforms. - LeAnn McDowall; Maria Antoniak; David Mimno (ICWSM, 2024)

A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity. - Shayne Longpre; Gregory Yauney; Emily Reif; Katherine Lee; Adam Roberts; Barret Zoph; Denny Zhou; Jason Wei; Kevin Robinson; David Mimno; Daphne Ippolito (NAACL-HLT, 2024)

The Afterlives of Shakespeare and Company in Online Social Readership. - Maria Antoniak; David Mimno; Rosamond Elizabeth Thalken; Melanie Walsh; Matthew Wilkens; Gregory Yauney (CoRR, 2024)

[Lions: 1] and [Tigers: 2] and [Bears: 3], Oh My! Literary Coreference Annotation with LLMs. - Rebecca M. M. Hicke; David Mimno (CoRR, 2024)

Stronger Random Baselines for In-Context Learning. - Gregory Yauney; David Mimno (CoRR, 2024)

Large Language Models in Qualitative Research: Can We Do the Data Justice? - Hope Schroeder; Marianne Aubin Le Quéré; Casey Randazzo; David Mimno; Sarita Schoenebeck (CoRR, 2024)

Data Paradigms in the Era of LLMs: On the Opportunities and Challenges of Qualitative Data in the WILD. - Shengqi Zhu 002; Jeffrey M. Rzeszotarski; David Mimno (CHI Extended Abstracts, 2025)

Large Language Models in Qualitative Research: Uses, Tensions, and Intentions. - Hope Schroeder; Marianne Aubin Le Quéré; Casey Randazzo; David Mimno; Sarita Schoenebeck (CHI, 2025)

Looking for the Inner Music: Probing LLMs' Understanding of Literary Style. - Rebecca M. M. Hicke; David Mimno (CoRR, 2025)

Lost in Space: Optimizing Tokens for Grammar-Constrained Decoding. - Sil Hamilton; David Mimno (CoRR, 2025)

Provocations from the Humanities for Generative AI Research. - Lauren F. Klein; Meredith Martin; André Brock; Maria Antoniak; Melanie Walsh; Jessica Marie Johnson; Lauren Tilton; David Mimno (CoRR, 2025)

A City of Millions: Mapping Literary Social Networks At Scale. - Sil Hamilton; Rebecca M. M. Hicke; David Mimno; Matthew Wilkens (CoRR, 2025)

Do Chinese models speak Chinese languages? - Andrea W. Wen-Yi; Unso Eun Seo Jo; David Mimno (CoRR, 2025)

Tasks and Roles in Legal AI: Data Curation, Annotation, and Verification. - Allison Koenecke; Edward H. Stiglitz; David Mimno; Matthew Wilkens (CoRR, 2025)

The Zero Body Problem: Probing LLM Use of Sensory Language. - Rebecca M. M. Hicke; Sil Hamilton; David Mimno (CoRR, 2025)

Cheaper, Better, Faster, Stronger: Robust Text-to-SQL without Chain-of-Thought or Fine-Tuning. - Yusuf Denizay Dönder; Derek Hommel; Andrea W. Wen-Yi; David Mimno; Unso Eun Seo Jo (CoRR, 2025)

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels. - Sil Hamilton; Rebecca M. M. Hicke; Matthew Wilkens; David Mimno (CoRR, 2025)

Are You There God? Lightweight Narrative Annotation of Christian Fiction with LMs. - Rebecca M. M. Hicke; Brian Haggard; Mia Ferrante; Rayhan Khanna; David Mimno (CoRR, 2025)

Show or Tell? Modeling the evolution of request-making in Human-LLM conversations. - Shengqi Zhu 002; Jeffrey M. Rzeszotarski; David Mimno (CoRR, 2025)