Can neural networks understand monotonicity reasoning?

15 June 2019

Papers citing "Can neural networks understand monotonicity reasoning?"

20 / 20 papers shown

Title
Enigme: Generative Text Puzzles for Evaluating Reasoning in Language Models John Hawkins ReLM LRM 57 0 0 08 May 2025
Sneaking Syntax into Transformer Language Models with Tree Regularization Ananjan Nandi Christopher D. Manning Shikhar Murty 74 0 0 28 Nov 2024
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models Erik Arakelyan Zhaoqi Liu Isabelle Augenstein AAML 45 9 0 25 Jan 2024
Targeted Data Generation: Finding and Fixing Model Weaknesses Zexue He Marco Tulio Ribeiro Fereshte Khani 22 13 0 28 May 2023
Natural Language Reasoning, A Survey Fei Yu Hongbo Zhang Prayag Tiwari Benyou Wang ReLM LRM 46 49 0 26 Mar 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 114 93 0 06 Oct 2022
Generating Intermediate Steps for NLI with Next-Step Supervision Deepanway Ghosal Somak Aditya Monojit Choudhury LRM 35 1 0 31 Aug 2022
Unit Testing for Concepts in Neural Networks Charles Lovering Ellie Pavlick 25 28 0 28 Jul 2022
Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions Emily Allaway Jena D. Hwang Chandra Bhagavatula Kathleen McKeown Doug Downey Yejin Choi LRM 44 20 0 23 May 2022
Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks Ruixiang Cui Daniel Hershcovich Anders Søgaard 25 13 0 22 Apr 2022
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic Zijun Wu Zi Xuan Zhang Atharva Naik Zhijian Mei Mauajama Firdaus Lili Mou LRM NAI 41 14 0 18 Sep 2021
Frequency Effects on Syntactic Rule Learning in Transformers Jason W. Wei Dan Garrette Tal Linzen Ellie Pavlick 88 62 0 14 Sep 2021
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics Hitomi Yanaka K. Mineshima Kentaro Inui NAI AI4CE 35 11 0 02 Jun 2021
Modeling Event Plausibility with Consistent Conceptual Abstraction Ian Porada Kaheer Suleman Adam Trischler Jackie C.K. Cheung 111 19 0 20 Apr 2021
Thinking Aloud: Dynamic Context Generation Improves Zero-Shot Reasoning Performance of GPT-2 Gregor Betz Kyle Richardson Christian Voigt ReLM LRM 16 29 0 24 Mar 2021
Logical Inferences with Comparatives and Generalized Quantifiers Izumi Haruta K. Mineshima D. Bekki ELM 19 11 0 16 May 2020
CLUE: A Chinese Language Understanding Evaluation Benchmark Liang Xu Hai Hu Xuanwei Zhang Lu Li Chenjie Cao ... Cong Yue Xinrui Zhang Zhen-Yi Yang Kyle Richardson Zhenzhong Lan ELM 33 377 0 13 Apr 2020
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 6,956 0 20 Apr 2018
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 201 1,367 0 06 Jun 2016