Types of Out-of-Distribution Texts and How to Detect Them

14 September 2021

Papers citing "Types of Out-of-Distribution Texts and How to Detect Them"

24 / 24 papers shown

Title
Semantic Volume: Quantifying and Detecting both External and Internal Uncertainty in LLMs Xiaomin Li Zhou Yu Ziji Zhang Yingying Zhuang S. Narayanan Sadagopan Anurag Beniwal HILM 58 0 0 28 Feb 2025
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 64 3 0 18 Sep 2024
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language Models Sepehr Kamahi Yadollah Yaghoobzadeh 37 0 0 21 Aug 2024
$$\texttt{MoE-RBench}$: Towards Building Reliable Language Models with Sparse Mixture-of-Experts$ $\texttt{MoE-RBench}$ : Towards Building Reliable Language Models with Sparse Mixture-of-Experts Guanjie Chen Xinyu Zhao Tianlong Chen Yu Cheng MoE 68 5 0 17 Jun 2024
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward Xuan Xie Jiayang Song Zhehua Zhou Yuheng Huang Da Song Lei Ma OffRL 37 6 0 12 Apr 2024
Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study Maike Zufle Verna Dankers Ivan Titov 27 0 0 16 Nov 2023
LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models Huiqiang Jiang Qianhui Wu Chin-Yew Lin Yuqing Yang Lili Qiu 24 100 0 09 Oct 2023
How Good Are LLMs at Out-of-Distribution Detection? Bo Liu Li-Ming Zhan Zexin Lu Yu Feng Lei Xue Xiao-Ming Wu OODD 30 8 0 20 Aug 2023
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers Jaeyoung Kim Kyuheon Jung Dongbin Na Sion Jang Eunbin Park Sungchul Choi OODD 22 6 0 18 Jul 2023
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks M. Baran Joanna Baran Mateusz Wójcik Maciej Ziȩba Adam Gonczarek OODD 30 4 0 13 Jul 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations Lifan Yuan Yangyi Chen Ganqu Cui Hongcheng Gao Fangyuan Zou Xingyi Cheng Heng Ji Zhiyuan Liu Maosong Sun 32 72 0 07 Jun 2023
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future Linyi Yang Y. Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 32 2 0 23 May 2023
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation Xiaowei Huang Wenjie Ruan Wei Huang Gao Jin Yizhen Dong ... Sihao Wu Peipei Xu Dengyu Wu André Freitas Mustafa A. Mustafa ALM 29 81 0 19 May 2023
Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction Jun Gao Changlong Yu Wei Wang Huan Zhao Ruifeng Xu 18 33 0 06 Jan 2023
Beyond Mahalanobis-Based Scores for Textual OOD Detection Pierre Colombo Eduardo Dadalto Camara Gomes Guillaume Staerman Nathan Noiry Pablo Piantanida OODD 39 5 0 24 Nov 2022
Delving into Out-of-Distribution Detection with Vision-Language Representations Yifei Ming Ziyan Cai Jiuxiang Gu Yiyou Sun W. Li Yixuan Li VLM OODD 37 157 0 24 Nov 2022
Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text Qianhui Wu Huiqiang Jiang Haonan Yin Börje F. Karlsson Chin-Yew Lin 19 10 0 21 Nov 2022
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective Linyi Yang Shuibai Zhang Libo Qin Yafu Li Yidong Wang Hanmeng Liu Jindong Wang Xingxu Xie Yue Zhang ELM 39 79 0 15 Nov 2022
Out-of-Distribution Detection and Selective Generation for Conditional Language Models Jie Jessie Ren Jiaming Luo Yao-Min Zhao Kundan Krishna Mohammad Saleh Balaji Lakshminarayanan Peter J. Liu OODD 67 94 0 30 Sep 2022
Self-Supervised Losses for One-Class Textual Anomaly Detection Kimberly T. Mai Toby O. Davies Lewis D. Griffin 8 7 0 12 Apr 2022
Active Learning Over Multiple Domains in Natural Language Tasks Shayne Longpre Julia Reisler E. G. Huang Yi Lu Andrew J. Frank Nikhil Ramesh Chris DuBois OOD 19 13 0 01 Feb 2022
Domain Divergences: a Survey and Empirical Analysis Abhinav Ramesh Kashyap Devamanyu Hazarika Min-Yen Kan Roger Zimmermann 165 37 0 23 Oct 2020
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 243 289 0 17 Mar 2020
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 297 6,950 0 20 Apr 2018