Detecting out-of-distribution text using topological features of transformer-based language models

22 November 2023

Papers citing "Detecting out-of-distribution text using topological features of transformer-based language models"

6 / 6 papers shown

Title
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection Rheeya Uppaal Junjie Hu Yixuan Li OODD 119 33 0 22 May 2023
The Internal State of an LLM Knows When It's Lying A. Azaria Tom Michael Mitchell HILM 218 299 0 26 Apr 2023
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 879 0 21 Oct 2021
Types of Out-of-Distribution Texts and How to Detect Them Udit Arora William Huang He He OODD 225 97 0 14 Sep 2021
Artificial Text Detection via Examining the Topology of Attention Maps Laida Kushnareva D. Cherniavskii Vladislav Mikhailov Ekaterina Artemova S. Barannikov A. Bernstein Irina Piontkovskaya D. Piontkovski Evgeny Burnaev 36 49 0 10 Sep 2021
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection Alexander Podolskiy Dmitry Lipin A. Bout Ekaterina Artemova Irina Piontkovskaya OODD 95 82 0 11 Jan 2021