Automated Terminological and Structural Analysis of Human-Mouse Anatomical Ontology Mappings. - Sarah Luger; J. Stuart Aitken; Bonnie L. Webber (BMC Bioinform., 2005)

Type nanotheories: a framework for term comparison. - John M. Prager; Sarah Luger; Jennifer Chu-Carroll (CIKM, 2007)

A Graph Theory Approach for Generating Multiple Choice Exams. - Sarah K. K. Luger (AAAI Fall Symposium: Question Generation, 2011)

An analysis of question quality and user performance in crowdsourced exams. - Sarah K. K. Luger; Jeff Bowles (DUBMOD@CIKM, 2013)

Two Methods for Measuring Question Difficulty and Discrimination in Incomplete Crowdsourced Data. - Sarah K. K. Luger; Jeff Bowles (HCOMP (Works in Progress / Demos), 2013)

Comparative Methods and Analysis for Creating High-Quality Question Sets from Crowdsourced Data. - Sarah K. K. Luger; Jeff Bowles (FLAIRS, 2016)

Algorithms for assessing the quality and difficulty of multiple choice exam questions. - Sarah K. K. Luger (2016)

Beyond Mechanical Turk: Using Techniques from Meta Learning to Compare Crowdsourcing Platforms Across Languages. - Sarah K. K. Luger (AAAI Workshops, 2017)

Health Care Misinformation: an Artificial Intelligence Challenge for Low-resource languages. - Sarah Luger; Martina Anto-Ocrah; Allahsera Tapo; Christopher Homan; Marcos Zampieri; Michael Leventhal (AI4SG@AAAI Fall Symposium, 2020)

Assessing Human Translations from French to Bambara for Machine Learning: a Pilot Study. - Michael Leventhal; Allahsera Tapo; Sarah Luger; Marcos Zampieri; Christopher M. Homan (AfricaNLP, 2020)

Neural Machine Translation for Extremely Low-Resource African Languages: A Case Study on Bambara. - Allahsera Auguste Tapo; Bakary Coulibaly; Sébastien Diarra; Christopher Homan; Julia Kreutzer; Sarah Luger; Arthur Nagashima; Marcos Zampieri; Michael Leventhal (CoRR, 2020)

Domain-specific MT for Low-resource Languages: The case of Bambara-French. - Allahsera Auguste Tapo; Michael Leventhal; Sarah Luger; Christopher M. Homan; Marcos Zampieri (AfricaNLP, 2021)

Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning. - Tharindu Cyril Weerasooriya; Sarah Luger; Saloni Poddar; Ashiqur R. KhudaBukhsh; Christopher Homan (ACL (1), 2023)

Offensiveness as an Opinion: Dissecting population-level Label Distributions. - Tharindu Cyril Weerasooriya; Sarah Luger; Yu Liang; Christopher M. Homan (Tiny Papers @ ICLR, 2023)

Rater Cohesion and Quality from a Vicarious Perspective. - Deepak Pandita; Tharindu Cyril Weerasooriya; Sujan Dutta; Sarah Luger; Tharindu Ranasinghe; Ashiqur R. KhudaBukhsh; Marcos Zampieri; Christopher Homan (EMNLP (Findings), 2024)

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. - Shaona Ghosh; Heather Frase; Adina Williams; Sarah Luger; Paul Röttger; Fazl Barez; Sean McGregor; Kenneth Fricklas; Mala Kumar; Quentin Feuillade-Montixi; Kurt D. Bollacker; Felix Friedrich; et al. (CoRR, 2025)

CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data. - Pedro Ortiz Suarez; Laurie Burchell; Catherine Arnett; Rafael Mosquera; Sara Hincapié Monsalve; Thom Vaughan; Damian Stewart; Malte Ostendorff; Idris Abdulmumin; Vukosi Marivate; Shamsuddeen Hassan Muhammad; Atnafu Lambebo Tonja; et al. (ACL (1), 2026)