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Aleem Khan
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2020 – today
- 2024
- [c4]Orion Weller, Aleem Khan, Nathaniel Weir, Dawn J. Lawrie, Benjamin Van Durme:
Defending Against Disinformation Attacks in Open-Domain Question Answering. EACL (2) 2024: 402-417 - [c3]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 - [i5]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 abs/2401.06712 (2024) - [i4]William Fleshman, Aleem Khan, Marc Marone, Benjamin Van Durme:
AdapterSwap: Continuous Training of LLMs with Data Removal and Access-Control Guarantees. CoRR abs/2404.08417 (2024) - 2023
- [i3]Aleem Khan, Andrew Wang, Sophia Hager, Nicholas Andrews:
Learning to Generate Text in Arbitrary Writing Styles. CoRR abs/2312.17242 (2023) - 2022
- [i2]Orion Weller, Aleem Khan, Nathaniel Weir, Dawn J. Lawrie, Benjamin Van Durme:
Defending Against Poisoning Attacks in Open-Domain Question Answering. CoRR abs/2212.10002 (2022) - 2021
- [c2]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: 913-919 - [c1]Aleem Khan, Elizabeth Fleming, Noah Schofield, Marcus Bishop, Nicholas Andrews:
A Deep Metric Learning Approach to Account Linking. NAACL-HLT 2021: 5275-5287 - [i1]Aleem Khan, Elizabeth Fleming, Noah Schofield, Marcus Bishop, Nicholas Andrews:
A Deep Metric Learning Approach to Account Linking. CoRR abs/2105.07263 (2021)
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last updated on 2024-08-08 19:14 CEST by the dblp team
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