ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1902.01007
  4. Cited By
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural
  Language Inference

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

4 February 2019
R. Thomas McCoy
Ellie Pavlick
Tal Linzen
ArXivPDFHTML

Papers citing "Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference"

50 / 329 papers shown
Title
Supervising Model Attention with Human Explanations for Robust Natural
  Language Inference
Supervising Model Attention with Human Explanations for Robust Natural Language Inference
Joe Stacey
Yonatan Belinkov
Marek Rei
30
45
0
16 Apr 2021
Masked Language Modeling and the Distributional Hypothesis: Order Word
  Matters Pre-training for Little
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
Koustuv Sinha
Robin Jia
Dieuwke Hupkes
J. Pineau
Adina Williams
Douwe Kiela
45
243
0
14 Apr 2021
Semantic maps and metrics for science Semantic maps and metrics for
  science using deep transformer encoders
Semantic maps and metrics for science Semantic maps and metrics for science using deep transformer encoders
Brendan Chambers
James A. Evans
MedIm
13
0
0
13 Apr 2021
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in
  Visual Question Answering
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering
Corentin Dancette
Rémi Cadène
Damien Teney
Matthieu Cord
CML
28
76
0
07 Apr 2021
What Will it Take to Fix Benchmarking in Natural Language Understanding?
What Will it Take to Fix Benchmarking in Natural Language Understanding?
Samuel R. Bowman
George E. Dahl
ELM
ALM
30
156
0
05 Apr 2021
Thinking Aloud: Dynamic Context Generation Improves Zero-Shot Reasoning
  Performance of GPT-2
Thinking Aloud: Dynamic Context Generation Improves Zero-Shot Reasoning Performance of GPT-2
Gregor Betz
Kyle Richardson
Christian Voigt
ReLM
LRM
24
30
0
24 Mar 2021
Automatic Generation of Contrast Sets from Scene Graphs: Probing the
  Compositional Consistency of GQA
Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA
Yonatan Bitton
Gabriel Stanovsky
Roy Schwartz
Michael Elhadad
CoGe
25
33
0
17 Mar 2021
Are NLP Models really able to Solve Simple Math Word Problems?
Are NLP Models really able to Solve Simple Math Word Problems?
Arkil Patel
S. Bhattamishra
Navin Goyal
ReLM
LRM
27
770
0
12 Mar 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU
  Models
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU Models
Mengnan Du
Varun Manjunatha
R. Jain
Ruchi Deshpande
Franck Dernoncourt
Jiuxiang Gu
Tong Sun
Xia Hu
57
105
0
11 Mar 2021
Contrastive Explanations for Model Interpretability
Contrastive Explanations for Model Interpretability
Alon Jacovi
Swabha Swayamdipta
Shauli Ravfogel
Yanai Elazar
Yejin Choi
Yoav Goldberg
44
95
0
02 Mar 2021
Measuring and Improving Consistency in Pretrained Language Models
Measuring and Improving Consistency in Pretrained Language Models
Yanai Elazar
Nora Kassner
Shauli Ravfogel
Abhilasha Ravichander
Eduard H. Hovy
Hinrich Schütze
Yoav Goldberg
HILM
272
347
0
01 Feb 2021
Muppet: Massive Multi-task Representations with Pre-Finetuning
Muppet: Massive Multi-task Representations with Pre-Finetuning
Armen Aghajanyan
Anchit Gupta
Akshat Shrivastava
Xilun Chen
Luke Zettlemoyer
Sonal Gupta
33
266
0
26 Jan 2021
Exploring Transitivity in Neural NLI Models through Veridicality
Exploring Transitivity in Neural NLI Models through Veridicality
Hitomi Yanaka
K. Mineshima
Kentaro Inui
15
23
0
26 Jan 2021
SICKNL: A Dataset for Dutch Natural Language Inference
SICKNL: A Dataset for Dutch Natural Language Inference
G. Wijnholds
M. Moortgat
14
25
0
14 Jan 2021
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and
  Improving Models
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models
Tongshuang Wu
Marco Tulio Ribeiro
Jeffrey Heer
Daniel S. Weld
41
243
0
01 Jan 2021
How Do Your Biomedical Named Entity Recognition Models Generalize to
  Novel Entities?
How Do Your Biomedical Named Entity Recognition Models Generalize to Novel Entities?
Hyunjae Kim
Jaewoo Kang
AI4CE
86
21
0
01 Jan 2021
FastIF: Scalable Influence Functions for Efficient Model Interpretation
  and Debugging
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging
Han Guo
Nazneen Rajani
Peter Hase
Joey Tianyi Zhou
Caiming Xiong
TDI
41
102
0
31 Dec 2020
HateCheck: Functional Tests for Hate Speech Detection Models
HateCheck: Functional Tests for Hate Speech Detection Models
Paul Röttger
B. Vidgen
Dong Nguyen
Zeerak Talat
Helen Z. Margetts
J. Pierrehumbert
31
260
0
31 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
OOD
101
1,377
0
14 Dec 2020
Infusing Finetuning with Semantic Dependencies
Infusing Finetuning with Semantic Dependencies
Zhaofeng Wu
Hao Peng
Noah A. Smith
25
37
0
10 Dec 2020
Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural
  Networks
Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks
L. N. Darlow
Stanisław Jastrzębski
Amos Storkey
48
24
0
19 Nov 2020
Gradient Starvation: A Learning Proclivity in Neural Networks
Gradient Starvation: A Learning Proclivity in Neural Networks
Mohammad Pezeshki
Sekouba Kaba
Yoshua Bengio
Aaron Courville
Doina Precup
Guillaume Lajoie
MLT
50
257
0
18 Nov 2020
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles
Christopher Clark
Mark Yatskar
Luke Zettlemoyer
26
61
0
07 Nov 2020
Underspecification Presents Challenges for Credibility in Modern Machine
  Learning
Underspecification Presents Challenges for Credibility in Modern Machine Learning
Alexander DÁmour
Katherine A. Heller
D. Moldovan
Ben Adlam
B. Alipanahi
...
Kellie Webster
Steve Yadlowsky
T. Yun
Xiaohua Zhai
D. Sculley
OffRL
77
671
0
06 Nov 2020
ABNIRML: Analyzing the Behavior of Neural IR Models
ABNIRML: Analyzing the Behavior of Neural IR Models
Sean MacAvaney
Sergey Feldman
Nazli Goharian
Doug Downey
Arman Cohan
23
49
0
02 Nov 2020
Selective Classification Can Magnify Disparities Across Groups
Selective Classification Can Magnify Disparities Across Groups
Erik Jones
Shiori Sagawa
Pang Wei Koh
Ananya Kumar
Percy Liang
31
46
0
27 Oct 2020
ANLIzing the Adversarial Natural Language Inference Dataset
ANLIzing the Adversarial Natural Language Inference Dataset
Adina Williams
Tristan Thrush
Douwe Kiela
AAML
183
46
0
24 Oct 2020
Posterior Differential Regularization with f-divergence for Improving
  Model Robustness
Posterior Differential Regularization with f-divergence for Improving Model Robustness
Hao Cheng
Xiaodong Liu
L. Pereira
Yaoliang Yu
Jianfeng Gao
248
31
0
23 Oct 2020
Improving Robustness by Augmenting Training Sentences with
  Predicate-Argument Structures
Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures
N. Moosavi
M. Boer
Prasetya Ajie Utama
Iryna Gurevych
27
13
0
23 Oct 2020
What is More Likely to Happen Next? Video-and-Language Future Event
  Prediction
What is More Likely to Happen Next? Video-and-Language Future Event Prediction
Jie Lei
Licheng Yu
Tamara L. Berg
Joey Tianyi Zhou
33
72
0
15 Oct 2020
Geometry matters: Exploring language examples at the decision boundary
Geometry matters: Exploring language examples at the decision boundary
Debajyoti Datta
Shashwat Kumar
Laura E. Barnes
Tom Fletcher
AAML
12
3
0
14 Oct 2020
Counterfactual Variable Control for Robust and Interpretable Question
  Answering
Counterfactual Variable Control for Robust and Interpretable Question Answering
S. Yu
Yulei Niu
Shuohang Wang
Jing Jiang
Qianru Sun
AAML
OOD
42
9
0
12 Oct 2020
On the Importance of Adaptive Data Collection for Extremely Imbalanced
  Pairwise Tasks
On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks
Stephen Mussmann
Robin Jia
Percy Liang
29
15
0
10 Oct 2020
Counterfactually-Augmented SNLI Training Data Does Not Yield Better
  Generalization Than Unaugmented Data
Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data
William Huang
Haokun Liu
Samuel R. Bowman
21
37
0
09 Oct 2020
Explaining Deep Neural Networks
Explaining Deep Neural Networks
Oana-Maria Camburu
XAI
FAtt
33
26
0
04 Oct 2020
Data-Efficient Pretraining via Contrastive Self-Supervision
Data-Efficient Pretraining via Contrastive Self-Supervision
Nils Rethmeier
Isabelle Augenstein
23
20
0
02 Oct 2020
A Survey on Explainability in Machine Reading Comprehension
A Survey on Explainability in Machine Reading Comprehension
Mokanarangan Thayaparan
Marco Valentino
André Freitas
FaML
12
50
0
01 Oct 2020
FarsTail: A Persian Natural Language Inference Dataset
FarsTail: A Persian Natural Language Inference Dataset
Hossein Amirkhani
Mohammad AzariJafari
Zohreh Pourjafari
Soroush Faridan-Jahromi
Zeinab Kouhkan
Azadeh Amirak
19
30
0
18 Sep 2020
Attention Flows: Analyzing and Comparing Attention Mechanisms in
  Language Models
Attention Flows: Analyzing and Comparing Attention Mechanisms in Language Models
Joseph F DeRose
Jiayao Wang
M. Berger
17
83
0
03 Sep 2020
An Empirical Study on Robustness to Spurious Correlations using
  Pre-trained Language Models
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models
Lifu Tu
Garima Lalwani
Spandana Gella
He He
LRM
24
184
0
14 Jul 2020
Self-training Avoids Using Spurious Features Under Domain Shift
Self-training Avoids Using Spurious Features Under Domain Shift
Yining Chen
Colin Wei
Ananya Kumar
Tengyu Ma
OOD
29
84
0
17 Jun 2020
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and
  Strong Baselines
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines
Marius Mosbach
Maksym Andriushchenko
Dietrich Klakow
31
352
0
08 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
77
40,200
0
28 May 2020
Syntactic Structure Distillation Pretraining For Bidirectional Encoders
Syntactic Structure Distillation Pretraining For Bidirectional Encoders
A. Kuncoro
Lingpeng Kong
Daniel Fried
Dani Yogatama
Laura Rimell
Chris Dyer
Phil Blunsom
31
33
0
27 May 2020
Logical Inferences with Comparatives and Generalized Quantifiers
Logical Inferences with Comparatives and Generalized Quantifiers
Izumi Haruta
K. Mineshima
D. Bekki
ELM
27
11
0
16 May 2020
Explaining Black Box Predictions and Unveiling Data Artifacts through
  Influence Functions
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions
Xiaochuang Han
Byron C. Wallace
Yulia Tsvetkov
MILM
FAtt
AAML
TDI
23
164
0
14 May 2020
An Investigation of Why Overparameterization Exacerbates Spurious
  Correlations
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa
Aditi Raghunathan
Pang Wei Koh
Percy Liang
152
371
0
09 May 2020
FEQA: A Question Answering Evaluation Framework for Faithfulness
  Assessment in Abstractive Summarization
FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization
Esin Durmus
He He
Mona T. Diab
HILM
23
384
0
07 May 2020
A Systematic Assessment of Syntactic Generalization in Neural Language
  Models
A Systematic Assessment of Syntactic Generalization in Neural Language Models
Jennifer Hu
Jon Gauthier
Peng Qian
Ethan Gotlieb Wilcox
R. Levy
ELM
35
212
0
07 May 2020
The Sensitivity of Language Models and Humans to Winograd Schema
  Perturbations
The Sensitivity of Language Models and Humans to Winograd Schema Perturbations
Mostafa Abdou
Vinit Ravishankar
Maria Barrett
Yonatan Belinkov
Desmond Elliott
Anders Søgaard
ReLM
LRM
62
34
0
04 May 2020
Previous
1234567
Next