Don't Take the Premise for Granted: Mitigating Artifacts in Natural
Language Inference

Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference

9 July 2019

Yonatan Belinkov

Stuart M. Shieber

Benjamin Van Durme

Alexander M. Rush

Papers citing "Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference"

17 / 17 papers shown

Title
ANPMI: Assessing the True Comprehension Capabilities of LLMs for Multiple Choice Questions Gyeongje Cho Yeonkyoung So Jaejin Lee ELM 59 0 0 26 Feb 2025
Feature-Level Debiased Natural Language Understanding Yougang Lyu Piji Li Yechang Yang Maarten de Rijke Pengjie Ren Yukun Zhao Dawei Yin Z. Ren 23 10 0 11 Dec 2022
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference S. Rajaee Yadollah Yaghoobzadeh Mohammad Taher Pilehvar 23 5 0 07 Nov 2022
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning Q. Si Yuanxin Liu Fandong Meng Zheng Lin Peng Fu Yanan Cao Weiping Wang Jie Zhou 30 23 0 10 Oct 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra A. Madry 14 88 0 29 Jun 2022
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets Yuxiang Wu Matt Gardner Pontus Stenetorp Pradeep Dasigi 16 67 0 24 Mar 2022
Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding Shane Storks Qiaozi Gao Yichi Zhang J. Chai ReLM LRM 34 22 0 10 Sep 2021
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification Peiyi Wang Runxin Xu Tianyu Liu Damai Dai Baobao Chang Zhifang Sui 22 16 0 29 Aug 2021
An Investigation of the (In)effectiveness of Counterfactually Augmented Data Nitish Joshi He He OODD 11 46 0 01 Jul 2021
SILT: Efficient transformer training for inter-lingual inference Javier Huertas-Tato Alejandro Martín David Camacho 6 11 0 17 Mar 2021
The Sensitivity of Language Models and Humans to Winograd Schema Perturbations Mostafa Abdou Vinit Ravishankar Maria Barrett Yonatan Belinkov Desmond Elliott Anders Søgaard ReLM LRM 52 34 0 04 May 2020
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference Tianyu Liu Xin Zheng Baobao Chang Zhifang Sui 30 22 0 05 Mar 2020
Adversarial Filters of Dataset Biases Ronan Le Bras Swabha Swayamdipta Chandra Bhagavatula Rowan Zellers Matthew E. Peters Ashish Sabharwal Yejin Choi 12 220 0 10 Feb 2020
Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches Shane Storks Qiaozi Gao J. Chai 13 127 0 02 Apr 2019
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 187 574 0 02 May 2018
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
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 190 1,358 0 06 Jun 2016