Multi-Scales Data Augmentation Approach In Natural Language Inference For Artifacts Mitigation And Pre-Trained Model Optimization

16 December 2022

Papers citing "Multi-Scales Data Augmentation Approach In Natural Language Inference For Artifacts Mitigation And Pre-Trained Model Optimization"

9 / 9 papers shown

Title
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets Vatsal Gupta Pranshu Pandya Tushar Kataria Vivek Gupta Dan Roth AAML 87 1 0 03 Jan 2025
Brief Introduction to Contrastive Learning Pretext Tasks for Visual Representation Zhenyu Lu VLM SSL 49 1 0 06 Oct 2022
Beyond Accuracy: Behavioral Testing of NLP models with CheckList Marco Tulio Ribeiro Tongshuang Wu Carlos Guestrin Sameer Singh ELM 186 1,100 0 08 May 2020
Breaking NLI Systems with Sentences that Require Simple Lexical Inferences Max Glockner Vered Shwartz Yoav Goldberg NAI 72 365 0 06 May 2018
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 227 579 0 02 May 2018
Annotation Artifacts in Natural Language Inference Data Suchin Gururangan Swabha Swayamdipta Omer Levy Roy Schwartz Samuel R. Bowman Noah A. Smith 134 1,175 0 06 Mar 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 495 4,473 0 18 Apr 2017
A large annotated corpus for learning natural language inference Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning 282 4,280 0 21 Aug 2015
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 625 31,469 0 16 Jan 2013