ANLIzing the Adversarial Natural Language Inference Dataset

24 October 2020

Douwe Kiela

Papers citing "ANLIzing the Adversarial Natural Language Inference Dataset"

21 / 21 papers shown

Title
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation Liaoyaqi Wang Zhengping Jiang Anqi Liu Benjamin Van Durme 61 0 0 02 May 2025
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 46 12 0 07 Jun 2024
What does the Failure to Reason with "Respectively" in Zero/Few-Shot Settings Tell Us about Language Models? Ruixiang Cui Seolhwa Lee Daniel Hershcovich Anders Søgaard 27 2 0 31 May 2023
Training Large Language Models Efficiently with Sparsity and Dataflow V. Srinivasan Darshan Gandhi Urmish Thakker R. Prabhakar MoE 30 6 0 11 Apr 2023
Random-LTD: Random and Layerwise Token Dropping Brings Efficient Training for Large-scale Transformers Z. Yao Xiaoxia Wu Conglong Li Connor Holmes Minjia Zhang Cheng-rong Li Yuxiong He 28 11 0 17 Nov 2022
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference S. Rajaee Yadollah Yaghoobzadeh Mohammad Taher Pilehvar 33 5 0 07 Nov 2022
SafeText: A Benchmark for Exploring Physical Safety in Language Models Sharon Levy Emily Allaway Melanie Subbiah Lydia B. Chilton D. Patton Kathleen McKeown William Yang Wang 59 40 0 18 Oct 2022
Investigating Reasons for Disagreement in Natural Language Inference Nan-Jiang Jiang M. Marneffe 24 26 0 07 Sep 2022
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers Z. Yao Reza Yazdani Aminabadi Minjia Zhang Xiaoxia Wu Conglong Li Yuxiong He VLM MQ 45 441 0 04 Jun 2022
Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks Ruixiang Cui Daniel Hershcovich Anders Søgaard 25 13 0 22 Apr 2022
What Makes Reading Comprehension Questions Difficult? Saku Sugawara Nikita Nangia Alex Warstadt Sam Bowman ELM RALM 20 13 0 12 Mar 2022
Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair Jason Phang Angelica Chen William Huang Samuel R. Bowman AAML 28 13 0 16 Nov 2021
IndoNLI: A Natural Language Inference Dataset for Indonesian Rahmad Mahendra Alham Fikri Aji Samuel Louvan Fahrurrozi Rahman Clara Vania 26 29 0 27 Oct 2021
Analyzing Dynamic Adversarial Training Data in the Limit Eric Wallace Adina Williams Robin Jia Douwe Kiela 198 30 0 16 Oct 2021
Knowledge-Enhanced Evidence Retrieval for Counterargument Generation Yohan Jo Haneul Yoo Jinyeong Bak Alice H. Oh Chris Reed Eduard H. Hovy RALM 40 12 0 19 Sep 2021
He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on Pragmatics Nan-Jiang Jiang M. Marneffe 19 21 0 02 Jul 2021
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study Divyansh Kaushik Douwe Kiela Zachary Chase Lipton Wen-tau Yih AAML 11 36 0 02 Jun 2021
UnNatural Language Inference Koustuv Sinha Prasanna Parthasarathi Joelle Pineau Adina Williams 216 94 0 30 Dec 2020
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets Mor Geva Yoav Goldberg Jonathan Berant 242 320 0 21 Aug 2019
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 190 576 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 297 6,959 0 20 Apr 2018