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. 1704.05426
  4. Cited By
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
v1v2v3v4 (latest)

A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

18 April 2017
Adina Williams
Nikita Nangia
Samuel R. Bowman
ArXiv (abs)PDFHTML

Papers citing "A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference"

50 / 2,772 papers shown
Title
A Puzzle-Based Dataset for Natural Language Inference
A Puzzle-Based Dataset for Natural Language Inference
Roxana Szomiu
Adrian Groza
63
9
0
10 Dec 2021
Pruning Pretrained Encoders with a Multitask Objective
Pruning Pretrained Encoders with a Multitask Objective
Patrick Xia
Richard Shin
67
0
0
10 Dec 2021
Analysis and Prediction of NLP Models Via Task Embeddings
Analysis and Prediction of NLP Models Via Task Embeddings
Damien Sileo
Marie-Francine Moens
57
4
0
10 Dec 2021
Predicting Physical World Destinations for Commands Given to
  Self-Driving Cars
Predicting Physical World Destinations for Commands Given to Self-Driving Cars
Dusan Grujicic
Thierry Deruyttere
Marie-Francine Moens
Matthew Blaschko
OOD
76
6
0
10 Dec 2021
Spinning Language Models: Risks of Propaganda-As-A-Service and
  Countermeasures
Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures
Eugene Bagdasaryan
Vitaly Shmatikov
SILMAAML
117
84
0
09 Dec 2021
FLAVA: A Foundational Language And Vision Alignment Model
FLAVA: A Foundational Language And Vision Alignment Model
Amanpreet Singh
Ronghang Hu
Vedanuj Goswami
Guillaume Couairon
Wojciech Galuba
Marcus Rohrbach
Douwe Kiela
CLIPVLM
159
719
0
08 Dec 2021
VIRT: Improving Representation-based Models for Text Matching through
  Virtual Interaction
VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction
Dan Li
Yang Yang
Hongyin Tang
Jingang Wang
Tong Xu
Wei Wu
Enhong Chen
71
9
0
08 Dec 2021
The Effect of Model Size on Worst-Group Generalization
The Effect of Model Size on Worst-Group Generalization
Alan Pham
Eunice Chan
V. Srivatsa
Dhruba Ghosh
Yaoqing Yang
Yaodong Yu
Ruiqi Zhong
Joseph E. Gonzalez
Jacob Steinhardt
70
5
0
08 Dec 2021
NL-Augmenter: A Framework for Task-Sensitive Natural Language
  Augmentation
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole
Varun Gangal
Sebastian Gehrmann
Aadesh Gupta
Zhenhao Li
...
Tianbao Xie
Usama Yaseen
Michael A. Yee
Jing Zhang
Yue Zhang
244
88
0
06 Dec 2021
LoNLI: An Extensible Framework for Testing Diverse Logical Reasoning
  Capabilities for NLI
LoNLI: An Extensible Framework for Testing Diverse Logical Reasoning Capabilities for NLI
Ishan Tarunesh
Somak Aditya
Monojit Choudhury
ELMLRM
55
4
0
04 Dec 2021
Probing Linguistic Information For Logical Inference In Pre-trained
  Language Models
Probing Linguistic Information For Logical Inference In Pre-trained Language Models
Zeming Chen
Qiyue Gao
74
9
0
03 Dec 2021
Towards More Robust Natural Language Understanding
Towards More Robust Natural Language Understanding
Xinliang Frederick Zhang
69
2
0
01 Dec 2021
Interactive Model with Structural Loss for Language-based Abductive
  Reasoning
Interactive Model with Structural Loss for Language-based Abductive Reasoning
Linhao Li
Ming Xu
Yongfeng Dong
Xin Li
Ao Wang
93
2
0
01 Dec 2021
Understanding Out-of-distribution: A Perspective of Data Dynamics
Understanding Out-of-distribution: A Perspective of Data Dynamics
Dyah Adila
Dongyeop Kang
59
12
0
29 Nov 2021
Near-Zero-Shot Suggestion Mining with a Little Help from WordNet
Near-Zero-Shot Suggestion Mining with a Little Help from WordNet
Anton M. Alekseev
E. Tutubalina
Sejeong Kwon
Sergey I. Nikolenko
67
2
0
25 Nov 2021
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning
V. Aribandi
Yi Tay
Tal Schuster
J. Rao
H. Zheng
...
Jianmo Ni
Jai Gupta
Kai Hui
Sebastian Ruder
Donald Metzler
MoE
127
216
0
22 Nov 2021
Can depth-adaptive BERT perform better on binary classification tasks
Can depth-adaptive BERT perform better on binary classification tasks
Jing Fan
Xin Zhang
Sheng Zhang
Yan Pan
Lixiang Guo
MQ
54
0
0
22 Nov 2021
You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli
  Sampling
You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling
Zhanpeng Zeng
Yunyang Xiong
Sathya Ravi
Shailesh Acharya
G. Fung
Vikas Singh
75
19
0
18 Nov 2021
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with
  Gradient-Disentangled Embedding Sharing
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing
Pengcheng He
Jianfeng Gao
Weizhu Chen
257
1,214
0
18 Nov 2021
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in
  Summarization
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization
Philippe Laban
Tobias Schnabel
Paul N. Bennett
Marti A. Hearst
HILM
109
398
0
18 Nov 2021
Interpreting Language Models Through Knowledge Graph Extraction
Interpreting Language Models Through Knowledge Graph Extraction
Vinitra Swamy
Angelika Romanou
Martin Jaggi
65
20
0
16 Nov 2021
WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia
WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia
Cheng-Mao Hsu
Cheng-Te Li
Diego Sáez-Trumper
Yi-Zhan Hsu
SSL
112
15
0
16 Nov 2021
Few-Shot Self-Rationalization with Natural Language Prompts
Few-Shot Self-Rationalization with Natural Language Prompts
Ana Marasović
Iz Beltagy
Doug Downey
Matthew E. Peters
LRM
93
110
0
16 Nov 2021
Adversarially Constructed Evaluation Sets Are More Challenging, but May
  Not Be Fair
Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair
Jason Phang
Angelica Chen
William Huang
Samuel R. Bowman
AAML
76
14
0
16 Nov 2021
A Practical guide on Explainable AI Techniques applied on Biomedical use
  case applications
A Practical guide on Explainable AI Techniques applied on Biomedical use case applications
Adrien Bennetot
Ivan Donadello
Ayoub El Qadi
M. Dragoni
Thomas Frossard
...
M. Trocan
Raja Chatila
Andreas Holzinger
Artur Garcez
Natalia Díaz Rodríguez
XAI
68
9
0
13 Nov 2021
Extracting and filtering paraphrases by bridging natural language
  inference and paraphrasing
Extracting and filtering paraphrases by bridging natural language inference and paraphrasing
Matej Klemen
Marko Robnik-Šikonja
20
2
0
13 Nov 2021
On Transferability of Prompt Tuning for Natural Language Processing
On Transferability of Prompt Tuning for Natural Language Processing
Yusheng Su
Xiaozhi Wang
Yujia Qin
Chi-Min Chan
Yankai Lin
...
Peng Li
Juanzi Li
Lei Hou
Maosong Sun
Jie Zhou
AAMLVLM
90
106
0
12 Nov 2021
Variation and generality in encoding of syntactic anomaly information in
  sentence embeddings
Variation and generality in encoding of syntactic anomaly information in sentence embeddings
Qinxuan Wu
Allyson Ettinger
36
2
0
12 Nov 2021
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language
  Understanding
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding
Qianying Liu
Fei Cheng
Sadao Kurohashi
49
1
0
10 Nov 2021
Prune Once for All: Sparse Pre-Trained Language Models
Prune Once for All: Sparse Pre-Trained Language Models
Ofir Zafrir
Ariel Larey
Guy Boudoukh
Haihao Shen
Moshe Wasserblat
VLM
86
85
0
10 Nov 2021
A Survey on Green Deep Learning
A Survey on Green Deep Learning
Jingjing Xu
Wangchunshu Zhou
Zhiyi Fu
Hao Zhou
Lei Li
VLM
203
84
0
08 Nov 2021
Uncertainty Calibration for Ensemble-Based Debiasing Methods
Uncertainty Calibration for Ensemble-Based Debiasing Methods
Ruibin Xiong
Yimeng Chen
Liang Pang
Xueqi Chen
Yanyan Lan
50
21
0
07 Nov 2021
How does a Pre-Trained Transformer Integrate Contextual Keywords?
  Application to Humanitarian Computing
How does a Pre-Trained Transformer Integrate Contextual Keywords? Application to Humanitarian Computing
Valentin Barrière
Guillaume Jacquet
27
1
0
07 Nov 2021
The Curious Layperson: Fine-Grained Image Recognition without Expert
  Labels
The Curious Layperson: Fine-Grained Image Recognition without Expert Labels
Subhabrata Choudhury
Iro Laina
Christian Rupprecht
Andrea Vedaldi
VLM
80
10
0
05 Nov 2021
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of
  Language Models
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models
Wei Ping
Chejian Xu
Shuohang Wang
Zhe Gan
Yu Cheng
Jianfeng Gao
Ahmed Hassan Awadallah
Yangqiu Song
VLMELMAAML
85
227
0
04 Nov 2021
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
Subhabrata Mukherjee
Xiaodong Liu
Guoqing Zheng
Saghar Hosseini
Hao Cheng
Greg Yang
Christopher Meek
Ahmed Hassan Awadallah
Jianfeng Gao
ELM
70
11
0
04 Nov 2021
BERT-DRE: BERT with Deep Recursive Encoder for Natural Language Sentence
  Matching
BERT-DRE: BERT with Deep Recursive Encoder for Natural Language Sentence Matching
Ehsan Tavan
A. Rahmati
M. Najafi
Saeed Bibak
Zahed Rahmati
85
5
0
03 Nov 2021
OpenPrompt: An Open-source Framework for Prompt-learning
OpenPrompt: An Open-source Framework for Prompt-learning
Ning Ding
Shengding Hu
Weilin Zhao
Yulin Chen
Zhiyuan Liu
Haitao Zheng
Maosong Sun
VLMLLMAG
114
300
0
03 Nov 2021
Detecting Logical Relation In Contract Clauses
Detecting Logical Relation In Contract Clauses
Alexandre Yukio Ichida
Felipe Meneguzzi
43
1
0
02 Nov 2021
Effective and Imperceptible Adversarial Textual Attack via
  Multi-objectivization
Effective and Imperceptible Adversarial Textual Attack via Multi-objectivization
Shengcai Liu
Ning Lu
W. Hong
Chao Qian
Ke Tang
AAML
118
15
0
02 Nov 2021
Detection of Hate Speech using BERT and Hate Speech Word Embedding with
  Deep Model
Detection of Hate Speech using BERT and Hate Speech Word Embedding with Deep Model
Hind S. Alatawi
Areej M. Alhothali
K. Moria
74
94
0
02 Nov 2021
Recent Advances in Natural Language Processing via Large Pre-Trained
  Language Models: A Survey
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MAVLMAI4CE
197
1,103
0
01 Nov 2021
Introspective Distillation for Robust Question Answering
Introspective Distillation for Robust Question Answering
Yulei Niu
Hanwang Zhang
94
60
0
01 Nov 2021
TransAug: Translate as Augmentation for Sentence Embeddings
Jue Wang
69
0
0
30 Oct 2021
MetaICL: Learning to Learn In Context
MetaICL: Learning to Learn In Context
Sewon Min
M. Lewis
Luke Zettlemoyer
Hannaneh Hajishirzi
LRM
258
493
0
29 Oct 2021
What makes us curious? analysis of a corpus of open-domain questions
What makes us curious? analysis of a corpus of open-domain questions
Zhaozhen Xu
Amelia Howarth
Nicole L. Briggs
N. Cristianini
30
2
0
28 Oct 2021
Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial
  Attack Framework
Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework
Lifan Yuan
Yichi Zhang
Yangyi Chen
Wei Wei
AAML
126
34
0
28 Oct 2021
IndoNLI: A Natural Language Inference Dataset for Indonesian
IndoNLI: A Natural Language Inference Dataset for Indonesian
Rahmad Mahendra
Alham Fikri Aji
Samuel Louvan
Fahrurrozi Rahman
Clara Vania
70
32
0
27 Oct 2021
FacTeR-Check: Semi-automated fact-checking through Semantic Similarity
  and Natural Language Inference
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
122
31
0
27 Oct 2021
Simple data balancing achieves competitive worst-group-accuracy
Simple data balancing achieves competitive worst-group-accuracy
Badr Youbi Idrissi
Martín Arjovsky
Mohammad Pezeshki
David Lopez-Paz
122
183
0
27 Oct 2021
Previous
123...343536...545556
Next