DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models

16 December 2021

Papers citing "DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models"

6 / 6 papers shown

Title
Revealing Trends in Datasets from the 2022 ACL and EMNLP Conferences Jesse Atuhurra Hidetaka Kamigaito 39 0 0 31 Mar 2024
LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning Amirhossein Abaskohi S. Rothe Yadollah Yaghoobzadeh VLM 40 16 0 29 May 2023
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation Yanrui Du Jing Yang Yan Chen Jing Liu Sendong Zhao Qiaoqiao She Huaqin Wu Haifeng Wang Bing Qin 44 9 0 25 May 2022
DuReader_retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine Yifu Qiu Hongyu Li Yingqi Qu Ying-Cong Chen Qiaoqiao She Jing Liu Hua Wu Haifeng Wang RALM 38 15 0 19 Mar 2022
How Can We Accelerate Progress Towards Human-like Linguistic Generalization? Tal Linzen 220 189 0 03 May 2020
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 258 916 0 21 Apr 2018