| 2026 | EACL | Show or Tell? Modeling the evolution of request-making in Human-LLM conversations. | Shengqi Zhu, Jeffrey M. Rzeszotarski, David Mimno |
| 2025 | CHI | 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 |
| 2025 | CHI | Large Language Models in Qualitative Research: Uses, Tensions, and Intentions. | Hope Schroeder, Marianne Aubin Le Qur, Casey Randazzo, David Mimno, Sarita Schoenebeck |
| 2024 | AIES | 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 |
| 2024 | CHI | LLMs as Research Tools: Applications and Evaluations in HCI Data Work. | Marianne Aubin Le Qur, Hope Schroeder, Casey Randazzo, Jie Gao, Ziv Epstein, Simon Tangi Perrault, David Mimno, Louise Barkhuus, Hanlin Li |
| 2024 | EACL | Contextualized Topic Coherence Metrics. | Hamed Rahimi, David Mimno, Jacob Louis Hoover, Hubert Naacke, Camlia Constantin, Bernd Amann |
| 2024 | ICWSM | Sensemaking about Contraceptive Methods across Online Platforms. | LeAnn McDowall, Maria Antoniak, David Mimno |
| 2024 | NAACL | 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 |
| 2023 | EMNLP | Modeling Legal Reasoning: LM Annotation at the Edge of Human Agreement. | Rosamond Elizabeth Thalken, Edward H. Stiglitz, David Mimno, Matthew Wilkens |
| 2023 | EMNLP | Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token Embeddings. | Andrea W. Wen-Yi, David Mimno |
| 2023 | EMNLP | Data Similarity is Not Enough to Explain Language Model Performance. | Gregory Yauney, Emily Reif, David Mimno |
| 2021 | ACL | Bad Seeds: Evaluating Lexical Methods for Bias Measurement. | Maria Antoniak, David Mimno |
| 2021 | EMNLP | Comparing Text Representations: A Theory-Driven Approach. | Gregory Yauney, David Mimno |
| 2021 | ICML | On-the-fly Rectification for Robust Large-Vocabulary Topic Inference. | Moontae Lee, Sungjun Cho, Kun Dong, David Mimno, David Bindel |
| 2020 | AISTATS | Prior-aware Composition Inference for Spectral Topic Models. | Moontae Lee, David Bindel, David Mimno |
| 2020 | EMNLP | Domain-Specific Lexical Grounding in Noisy Visual-Textual Documents. | Gregory Yauney, Jack Hessel, David Mimno |
| 2019 | EMNLP | Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents. | Jack Hessel, Lillian Lee, David Mimno |
| 2019 | EMNLP | Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm. | Moontae Lee, Sungjun Cho, David Bindel, David Mimno |
| 2018 | COLING | Authorless Topic Models: Biasing Models Away from Known Structure. | Laure Thompson, David Mimno |