Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference

7 November 2022

Papers citing "Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference"

11 / 11 papers shown

Title
The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More O. Kitouni Niklas Nolte Diane Bouchacourt Adina Williams Mike Rabbat Mark Ibrahim LRM CLL 30 12 0 07 Jun 2024
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning Shuoran Jiang Qingcai Chen Yang Xiang Youcheng Pan Xiangping Wu AI4CE 8 0 0 24 Oct 2023
Robust Natural Language Understanding with Residual Attention Debiasing Fei Wang James Y. Huang Tianyi Yan Wenxuan Zhou Muhao Chen 16 7 0 28 May 2023
Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens Nitish Joshi X. Pan Hengxing He CML 42 28 0 25 Oct 2022
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics Prajjwal Bhargava Aleksandr Drozd Anna Rogers 83 101 0 04 Oct 2021
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning Prasetya Ajie Utama N. Moosavi Victor Sanh Iryna Gurevych AAML 51 35 0 09 Sep 2021
Debiasing Methods in Natural Language Understanding Make Bias More Accessible Michael J. Mendelson Yonatan Belinkov 36 23 0 09 Sep 2021
Competency Problems: On Finding and Removing Artifacts in Language Data Matt Gardner William Merrill Jesse Dodge Matthew E. Peters Alexis Ross Sameer Singh Noah A. Smith 148 106 0 17 Apr 2021
ANLIzing the Adversarial Natural Language Inference Dataset Adina Williams Tristan Thrush Douwe Kiela AAML 147 45 0 24 Oct 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 248 1,382 0 21 Jan 2020
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 187 574 0 02 May 2018