Why Machine Reading Comprehension Models Learn Shortcuts?

Why Machine Reading Comprehension Models Learn Shortcuts?

2 June 2021

Papers citing "Why Machine Reading Comprehension Models Learn Shortcuts?"

9 / 9 papers shown

Title
First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning Yoichi Aoki Keito Kudo Tatsuki Kuribayashi Shusaku Sone Masaya Taniguchi Keisuke Sakaguchi Kentaro Inui LRM 19 1 0 23 Jun 2024
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue Yanrui Du Sendong Zhao Yuhan Chen Rai Bai Jing Liu Huaqin Wu Haifeng Wang Bing Qin 19 2 0 08 Sep 2023
Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data Xinzhe Li Ming Liu Shang Gao MU 20 8 0 02 Jul 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 20 2 0 23 May 2023
Progressive-Hint Prompting Improves Reasoning in Large Language Models Chuanyang Zheng Zhengying Liu Enze Xie Zhenguo Li Yu Li LLMAG ReLM LRM 19 100 0 19 Apr 2023
Revealing Weaknesses of Vietnamese Language Models Through Unanswerable Questions in Machine Reading Comprehension Son Quoc Tran Phong Nguyen-Thuan Do Kiet Van Nguyen N. Nguyen 37 0 0 16 Mar 2023
Complexity-Based Prompting for Multi-Step Reasoning Yao Fu Hao-Chun Peng Ashish Sabharwal Peter Clark Tushar Khot ReLM LRM 162 411 0 03 Oct 2022
Shortcut Learning of Large Language Models in Natural Language Understanding Mengnan Du Fengxiang He Na Zou Dacheng Tao Xia Hu KELM OffRL 19 82 0 25 Aug 2022
ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in Natural Language Understanding Dataset Zhihua Jin Xingbo Wang Furui Cheng Chunhui Sun Qun Liu Huamin Qu 32 9 0 17 Aug 2022