Testing the Generalization Power of Neural Network Models Across NLI Benchmarks

23 October 2018

Papers citing "Testing the Generalization Power of Neural Network Models Across NLI Benchmarks"

7 / 7 papers shown

Title
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations Lifan Yuan Yangyi Chen Ganqu Cui Hongcheng Gao Fangyuan Zou Xingyi Cheng Heng Ji Zhiyuan Liu Maosong Sun 39 73 0 07 Jun 2023
Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging Aarne Talman H. Çelikkanat Sami Virpioja Markus Heinonen Jörg Tiedemann BDL UQCV 26 7 0 10 Apr 2023
State-of-the-art generalisation research in NLP: A taxonomy and review Dieuwke Hupkes Mario Giulianelli Verna Dankers Mikel Artetxe Yanai Elazar ... Leila Khalatbari Maria Ryskina Rita Frieske Ryan Cotterell Zhijing Jin 121 94 0 06 Oct 2022
FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference Alejandro Martín Javier Huertas-Tato Álvaro Huertas-García Guillermo Villar-Rodríguez David Camacho HILM 25 31 0 27 Oct 2021
NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance Aarne Talman Marianna Apidianaki S. Chatzikyriakidis Jörg Tiedemann 30 10 0 10 Apr 2021
Multi-Task Deep Neural Networks for Natural Language Understanding Xiaodong Liu Pengcheng He Weizhu Chen Jianfeng Gao AI4CE 24 1,260 0 31 Jan 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