Aleem Khan

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Question Answering

Metric Learning

Top Venues

Publications

Rafael A. Rivera Soto, Kailin Koch, Aleem Khan, Barry Y. Chen, Marcus Bishop, Nicholas Andrews
Few-Shot Detection of Machine-Generated Text using Style Representations. ICLR (2024)
William Fleshman, Aleem Khan, Marc Marone, Benjamin Van Durme
AdapterSwap: Continuous Training of LLMs with Data Removal and Access-Control Guarantees. CoRR (2024)
Rafael A. Rivera Soto, Kailin Koch, Aleem Khan, Barry Y. Chen, Marcus Bishop, Nicholas Andrews
Few-Shot Detection of Machine-Generated Text using Style Representations. CoRR (2024)
Orion Weller, Aleem Khan, Nathaniel Weir, Dawn J. Lawrie, Benjamin Van Durme
Defending Against Disinformation Attacks in Open-Domain Question Answering. EACL (2) (2024)
Aleem Khan, Andrew Wang, Sophia Hager, Nicholas Andrews
Learning to Generate Text in Arbitrary Writing Styles. CoRR (2023)
Orion Weller, Aleem Khan, Nathaniel Weir, Dawn J. Lawrie, Benjamin Van Durme
Defending Against Poisoning Attacks in Open-Domain Question Answering. CoRR (2022)
Aleem Khan, Elizabeth Fleming, Noah Schofield, Marcus Bishop, Nicholas Andrews
A Deep Metric Learning Approach to Account Linking. NAACL-HLT (2021)
Rafael A. Rivera Soto, Olivia Elizabeth Miano, Juanita Ordonez, Barry Y. Chen, Aleem Khan, Marcus Bishop, Nicholas Andrews
Learning Universal Authorship Representations. EMNLP (1) (2021)
Aleem Khan, Elizabeth Fleming, Noah Schofield, Marcus Bishop, Nicholas Andrews
A Deep Metric Learning Approach to Account Linking. CoRR (2021)