How Good Are LLMs at Out-of-Distribution Detection?

How Good Are LLMs at Out-of-Distribution Detection?

20 August 2023

Lei Xue

Xiao-Ming Wu

Papers citing "How Good Are LLMs at Out-of-Distribution Detection?"

8 / 8 papers shown

Title
An Empirical Analysis of Uncertainty in Large Language Model Evaluations Qiujie Xie Qingqiu Li Zhuohao Yu Yuejie Zhang Yue Zhang Linyi Yang ELM 58 1 0 15 Feb 2025
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models Mohammad Beigi Sijia Wang Ying Shen Zihao Lin Adithya Kulkarni ... Ming Jin Jin-Hee Cho Dawei Zhou Chang-Tien Lu Lifu Huang 21 1 0 26 Oct 2024
A Baseline Analysis of Reward Models' Ability To Accurately Analyze Foundation Models Under Distribution Shift Will LeVine Benjamin Pikus Tony Chen Sean Hendryx 8 8 0 21 Nov 2023
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection Rheeya Uppaal Junjie Hu Yixuan Li OODD 109 33 0 22 May 2023
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 171 870 0 21 Oct 2021
Types of Out-of-Distribution Texts and How to Detect Them Udit Arora William Huang He He OODD 207 97 0 14 Sep 2021
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection Alexander Podolskiy Dmitry Lipin A. Bout Ekaterina Artemova Irina Piontkovskaya OODD 84 82 0 11 Jan 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018