Brandon M. Stewart

26 papers A* 2A 1B 2Journal 15Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
STATe-of-Thoughts: Structured Action Templates for Tree-of-Thoughts.
CoRR
Zachary Bamberger, Till Saenger, Gilad Morad, Ofra Amir, Brandon M. Stewart, Amir Feder
2024 A* conf
AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments.
EMNLP
Till Saenger, Musashi Hinck, Justin Grimmer, Brandon M. Stewart
2024 J jnl
AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments.
CoRR
Till Saenger, Musashi Hinck, Justin Grimmer, Brandon M. Stewart
2024 J jnl
GPT Deciphering Fedspeak: Quantifying Dissent Among Hawks and Doves.
CoRR
Denis Peskoff, Adam Visokay, Sander Schulhoff, Benjamin Wachspress, Alan Blinder, Brandon M. Stewart
2024 — conf
More Victories, Less Cooperation: Assessing Cicero's Diplomacy Play.
ACL (1)
Wichayaporn Wongkamjan, Feng Gu, Yanze Wang, Ulf Hermjakob, Jonathan May, Brandon M. Stewart, Jonathan K. Kummerfeld, Denis Peskoff, Jordan L. Boyd-Graber
2024 J jnl
More Victories, Less Cooperation: Assessing Cicero's Diplomacy Play.
CoRR
Wichayaporn Wongkamjan, Feng Gu, Yanze Wang, Ulf Hermjakob, Jonathan May, Brandon M. Stewart, Jonathan K. Kummerfeld, Denis Peskoff, Jordan Lee Boyd-Graber
2023 — conf
Credible without Credit: Domain Experts Assess Generative Language Models.
ACL (2)
Denis Peskoff, Brandon M. Stewart
2023 — conf
GPT Deciphering Fedspeak: Quantifying Dissent Among Hawks and Doves.
EMNLP (Findings)
Denis Peskoff, Adam Visokay, Sander Schulhoff, Benjamin Wachspress, Alan Blinder, Brandon M. Stewart
2023 J jnl
Manipulative tactics are the norm in political emails: Evidence from 300K emails from the 2020 US election cycle.
Big Data Soc.
Arunesh Mathur, Angelina Wang, Carsten Schwemmer, Maia Hamin, Brandon M. Stewart, Arvind Narayanan
2023 J jnl
Naive regression requires weaker assumptions than factor models to adjust for multiple cause confounding.
J. Mach. Learn. Res.
Justin Grimmer, Dean Knox, Brandon M. Stewart
2023 J jnl
REFORMS: Reporting Standards for Machine Learning Based Science.
CoRR
Sayash Kapoor, Emily Cantrell, Kenny Peng, Thanh Hien Pham, Christopher A. Bail, Odd Erik Gundersen, Jake M. Hofman, Jessica Hullman, Michael A. Lones, Momin M. Malik, Priyanka Nanayakkara, Russell A. Poldrack, Inioluwa Deborah Raji, Michael Roberts, Matthew J. Salganik, Marta Serra-Garcia, Brandon M. Stewart, Gilles Vandewiele, Arvind Narayanan
2023 A* conf
Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models.
NeurIPS
Naoki Egami, Musashi Hinck, Brandon M. Stewart, Hanying Wei
2023 J jnl
Using Large Language Model Annotations for Valid Downstream Statistical Inference in Social Science: Design-Based Semi-Supervised Learning.
CoRR
Naoki Egami, Musashi Jacobs-Harukawa, Brandon M. Stewart, Hanying Wei
2022 J jnl
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond.
Trans. Assoc. Comput. Linguistics
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, Diyi Yang
2021 J jnl
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond.
CoRR
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, Diyi Yang
2020 J jnl
Naïve regression requires weaker assumptions than factor models to adjust for multiple cause confounding.
CoRR
Justin Grimmer, Dean Knox, Brandon M. Stewart
2018 A conf
How algorithmic confounding in recommendation systems increases homogeneity and decreases utility.
RecSys
Allison June-Barlow Chaney, Brandon M. Stewart, Barbara E. Engelhardt
2018 J jnl
How to Make Causal Inferences Using Texts.
CoRR
Naoki Egami, Christian J. Fong, Justin Grimmer, Margaret E. Roberts, Brandon M. Stewart
2018 J jnl
The Civic Mission of MOOCs: Engagement across Political Differences in Online Forums.
Int. J. Artif. Intell. Educ.
Michael Yeomans, Brandon M. Stewart, Kimia Mavon, Alexander Kindel, Dustin Tingley, Justin Reich
2017 B conf
Discourse: MOOC Discussion Forum Analysis at Scale.
L@S
Alexander Kindel, Michael Yeomans, Justin Reich, Brandon M. Stewart, Dustin Tingley
2017 J jnl
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility.
CoRR
Allison June-Barlow Chaney, Brandon M. Stewart, Barbara E. Engelhardt
2016 — ch.
Navigating the Local Modes of Big Data: The Case of Topic Models.
Computational Social Science
Margaret E. Roberts, Brandon M. Stewart, Dustin Tingley
2016 B conf
The Civic Mission of MOOCs: Measuring Engagement across Political Differences in Forums.
L@S
Justin Reich, Brandon M. Stewart, Kimia Mavon, Dustin Tingley
2015 — conf
TopicCheck: Interactive Alignment for Assessing Topic Model Stability.
HLT-NAACL
Jason Chuang, Margaret E. Roberts, Brandon M. Stewart, Rebecca Weiss, Dustin Tingley, Justin Grimmer, Jeffrey Heer
2014 J jnl
Computer-Assisted Reading and Discovery for Student Generated Text in Massive Open Online Courses.
J. Learn. Anal.
Justin Reich, Dustin Tingley, Jetson Leder-Luis, Margaret E. Roberts, Brandon M. Stewart
2013 — conf
Learning to Extract International Relations from Political Context.
ACL (1)
Brendan O'Connor, Brandon M. Stewart, Noah A. Smith