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LoNLI: An Extensible Framework for Testing Diverse Logical Reasoning Capabilities for NLI

4 December 2021

Papers citing "LoNLI: An Extensible Framework for Testing Diverse Logical Reasoning Capabilities for NLI"

28 / 28 papers shown

Title
Measuring and Improving BERT's Mathematical Abilities by Predicting the Order of Reasoning Piotr Pikekos Henryk Michalewski Mateusz Malinowski 56 28 0 07 Jun 2021
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI Alon Jacovi Ana Marasović Tim Miller Yoav Goldberg 304 444 0 15 Oct 2020
TaxiNLI: Taking a Ride up the NLU Hill Pratik M. Joshi Somak Aditya Aalok Sathe Monojit Choudhury 56 36 0 30 Sep 2020
Investigating Gender Bias in BERT Rishabh Bhardwaj Navonil Majumder Soujanya Poria 64 108 0 10 Sep 2020
Targeting the Benchmark: On Methodology in Current Natural Language Processing Research David Schlangen 55 58 0 07 Jul 2020
DeBERTa: Decoding-enhanced BERT with Disentangled Attention Pengcheng He Xiaodong Liu Jianfeng Gao Weizhu Chen AAML 161 2,737 0 05 Jun 2020
INFOTABS: Inference on Tables as Semi-structured Data Vivek Gupta Maitrey Mehta Pegah Nokhiz Vivek Srikumar LMTD 55 111 0 13 May 2020
Beyond Accuracy: Behavioral Testing of NLP models with CheckList Marco Tulio Ribeiro Tongshuang Wu Carlos Guestrin Sameer Singh ELM 208 1,104 0 08 May 2020
oLMpics -- On what Language Model Pre-training Captures Alon Talmor Yanai Elazar Yoav Goldberg Jonathan Berant LRM 103 304 0 31 Dec 2019
Adversarial NLI: A New Benchmark for Natural Language Understanding Yixin Nie Adina Williams Emily Dinan Joey Tianyi Zhou Jason Weston Douwe Kiela 125 1,006 0 31 Oct 2019
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data Divyansh Kaushik Eduard H. Hovy Zachary Chase Lipton CML 91 569 0 26 Sep 2019
Do NLP Models Know Numbers? Probing Numeracy in Embeddings Eric Wallace Yizhong Wang Sujian Li Sameer Singh Matt Gardner 73 265 0 17 Sep 2019
Abductive Commonsense Reasoning Chandra Bhagavatula Ronan Le Bras Chaitanya Malaviya Keisuke Sakaguchi Ari Holtzman Hannah Rashkin Doug Downey Scott Yih Yejin Choi ReLM LRM 78 461 0 15 Aug 2019
Towards Debiasing Fact Verification Models Tal Schuster Darsh J. Shah Yun Jie Serene Yeo Daniel Filizzola Enrico Santus Regina Barzilay 95 211 0 14 Aug 2019
What do you learn from context? Probing for sentence structure in contextualized word representations Ian Tenney Patrick Xia Berlin Chen Alex Jinpeng Wang Adam Poliak ... Najoung Kim Benjamin Van Durme Samuel R. Bowman Dipanjan Das Ellie Pavlick 180 861 0 15 May 2019
BERT Rediscovers the Classical NLP Pipeline Ian Tenney Dipanjan Das Ellie Pavlick MILM SSeg 138 1,476 0 15 May 2019
Linguistic Knowledge and Transferability of Contextual Representations Nelson F. Liu Matt Gardner Yonatan Belinkov Matthew E. Peters Noah A. Smith 133 733 0 21 Mar 2019
Dialogue Natural Language Inference Sean Welleck Jason Weston Arthur Szlam Kyunghyun Cho HILM 79 252 0 01 Nov 2018
Breaking NLI Systems with Sentences that Require Simple Lexical Inferences Max Glockner Vered Shwartz Yoav Goldberg NAI 88 366 0 06 May 2018
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 234 579 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 1.1K 7,182 0 20 Apr 2018
FEVER: a large-scale dataset for Fact Extraction and VERification James Thorne Andreas Vlachos Christos Christodoulopoulos Arpit Mittal HILM 148 1,657 0 14 Mar 2018
Annotation Artifacts in Natural Language Inference Data Suchin Gururangan Swabha Swayamdipta Omer Levy Roy Schwartz Samuel R. Bowman Noah A. Smith 150 1,176 0 06 Mar 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 524 4,479 0 18 Apr 2017
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 286 8,134 0 16 Jun 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 180 3,701 0 10 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,990 0 16 Feb 2016
A large annotated corpus for learning natural language inference Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning 321 4,287 0 21 Aug 2015