6 citations · 7 across the 5 of their papers we have counts for
5 papers
Non-Parametric Machine Text Detection via Multi-View Gaussian Processes
Aleem Khan, Nicholas Andrews
Adversarial conditions such as paraphrasing and targeted style transfer sharply degrade the accuracy of machine text detectors. A document, however, carries multiple complementary…
Learning Extrapolative Sequence Transformations from Markov Chains
Sophia Hager, Aleem Khan, Andrew Wang +1
Most successful applications of deep learning involve similar training and test conditions. However, tasks such as biological sequence design involve searching for sequences that i…
AdapterSwap: Continuous Training of LLMs with Data Removal and Access-Control Guarantees
William Fleshman, Aleem Khan, Marc Marone +1
Large language models (LLMs) are increasingly capable of completing knowledge intensive tasks by recalling information from a static pretraining corpus. Here we are concerned with…
Few-Shot Detection of Machine-Generated Text using Style Representations
Rafael Rivera Soto, Kailin Koch, Aleem Khan +3
The advent of instruction-tuned language models that convincingly mimic human writing poses a significant risk of abuse. However, such abuse may be counteracted with the ability to…
Learning to Generate Text in Arbitrary Writing Styles
Aleem Khan, Andrew Wang, Sophia Hager +1
Prior work in style-controlled text generation has focused on tasks such as emulating the style of prolific literary authors, producing formal or informal text, and mitigating toxi…