4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CL2026
Pangram 4 Technical Report
Ben Glickenhaus, Katherine Thai, Jenna Russell +4
We present Pangram 4, the latest deep-learning-based AI-text classification model from Pangram Labs. We achieve an AUROC of 0.9916 with a false positive rate of 0.0041% and a false…
cs.CL2025★ 3 cited
EditLens: Quantifying the Extent of AI Editing in Text
Katherine Thai, Bradley Emi, Elyas Masrour +1
A significant proportion of queries to large language models ask them to edit user-provided text, rather than generate new text from scratch. While previous work focuses on detecti…
cs.CL2025★ 4 cited
DAMAGE: Detecting Adversarially Modified AI Generated Text
Elyas Masrour, Bradley Emi, Max Spero
AI humanizers are a new class of online software tools meant to paraphrase and rewrite AI-generated text in a way that allows them to evade AI detection software. We study 19 AI hu…