General purpose computer-assisted clustering and conceptualization. - Justin Grimmer; Gary King (Proc. Natl. Acad. Sci. USA, 2011)

The representative's problem: how legislators use communication to secure constituent support. - Justin Grimmer (PLEAD@CIKM, 2013)

Creating and Destroying Party Brands. - Justin Grimmer (LTCSS@ACL, 2014)

TopicCheck: Interactive Alignment for Assessing Topic Model Stability. - Jason Chuang; Margaret E. Roberts; Brandon M. Stewart; Rebecca Weiss; Dustin Tingley; Justin Grimmer; Jeffrey Heer (HLT-NAACL, 2015)

Measuring Representational Style in the House: The Tea Party, Obama, and Legislators' Changing Expressed Priorities. - Justin Grimmer (Computational Social Science, 2016)

Discovery of Treatments from Text Corpora. - Christian Fong; Justin Grimmer (ACL (1), 2016)

How to Make Causal Inferences Using Texts. - Naoki Egami; Christian J. Fong; Justin Grimmer; Margaret E. Roberts; Brandon M. Stewart (CoRR, 2018)

Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. - Amir Feder; Katherine A. Keith; Emaad Manzoor; Reid Pryzant; Dhanya Sridhar; Zach Wood-Doughty; Jacob Eisenstein; Justin Grimmer; Roi Reichart; Margaret E. Roberts; Brandon M. Stewart; Victor Veitch; et al. (Trans. Assoc. Comput. Linguistics, 2022)

Naive regression requires weaker assumptions than factor models to adjust for multiple cause confounding. - Justin Grimmer; Dean Knox; Brandon M. Stewart (J. Mach. Learn. Res., 2023)

AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments. - Till Saenger; Musashi Hinck; Justin Grimmer; Brandon M. Stewart (EMNLP, 2024)