Learning Universal Authorship Representations. - Rafael A. Rivera Soto; Olivia Elizabeth Miano; Juanita Ordonez; Barry Y. Chen; Aleem Khan; Marcus Bishop; Nicholas Andrews (EMNLP (1), 2021)

A Deep Metric Learning Approach to Account Linking. - Aleem Khan; Elizabeth Fleming; Noah Schofield; Marcus Bishop; Nicholas Andrews (NAACL-HLT, 2021)

Defending Against Poisoning Attacks in Open-Domain Question Answering. - Orion Weller; Aleem Khan; Nathaniel Weir; Dawn J. Lawrie; Benjamin Van Durme (CoRR, 2022)

Learning to Generate Text in Arbitrary Writing Styles. - Aleem Khan; Andrew Wang; Sophia Hager; Nicholas Andrews (CoRR, 2023)

Defending Against Disinformation Attacks in Open-Domain Question Answering. - Orion Weller; Aleem Khan; Nathaniel Weir; Dawn J. Lawrie; Benjamin Van Durme (EACL (2), 2024)

Few-Shot Detection of Machine-Generated Text using Style Representations. - Rafael A. Rivera Soto; Kailin Koch; Aleem Khan; Barry Y. Chen; Marcus Bishop; Nicholas Andrews (ICLR, 2024)

AdapterSwap: Continuous Training of LLMs with Data Removal and Access-Control Guarantees. - William Fleshman; Aleem Khan; Marc Marone; Benjamin Van Durme (CoRR, 2024)

Learning Extrapolative Sequence Transformations from Markov Chains. - Sophia Hager; Aleem Khan; Andrew Wang; Nicholas Andrews (CoRR, 2025)