A Survey on Out-of-Distribution Evaluation of Neural NLP Models

27 June 2023

Papers citing "A Survey on Out-of-Distribution Evaluation of Neural NLP Models"

8 / 8 papers shown

Title
FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation Yulia Otmakhova Hung Thinh Truong Rahmad Mahendra Zenan Zhai Rongxin Zhu Daniel Beck Jey Han Lau ELM 59 0 0 24 Apr 2025
Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks Melissa Ailem Katerina Marazopoulou Charlotte Siska James Bono 51 13 0 25 Apr 2024
LatEval: An Interactive LLMs Evaluation Benchmark with Incomplete Information from Lateral Thinking Puzzles Shulin Huang Shirong Ma Yinghui Li Mengzuo Huang Wuhe Zou Weidong Zhang Haitao Zheng LLMAG LRM 24 26 0 21 Aug 2023
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer Fanchao Qi Yangyi Chen Xurui Zhang Mukai Li Zhiyuan Liu Maosong Sun AAML SILM 77 175 0 14 Oct 2021
Types of Out-of-Distribution Texts and How to Detect Them Udit Arora William Huang He He OODD 209 97 0 14 Sep 2021
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets Mor Geva Yoav Goldberg Jonathan Berant 237 319 0 21 Aug 2019
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 243 914 0 21 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 185 711 0 17 Apr 2018