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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
Dynamic population-based meta-learning for multi-agent communication
  with natural language
Dynamic population-based meta-learning for multi-agent communication with natural language
Abhinav Gupta
Marc Lanctot
Angeliki Lazaridou
LLMAG
161
20
0
27 Oct 2021
Alignment Attention by Matching Key and Query Distributions
Alignment Attention by Matching Key and Query Distributions
Shujian Zhang
Xinjie Fan
Huangjie Zheng
Korawat Tanwisuth
Mingyuan Zhou
OOD
122
10
0
25 Oct 2021
SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text
  Joint Pre-Training
SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training
Ankur Bapna
Yu-An Chung
Na Wu
Anmol Gulati
Ye Jia
J. Clark
Melvin Johnson
Jason Riesa
Alexis Conneau
Yu Zhang
VLM
139
96
0
20 Oct 2021
When in Doubt, Summon the Titans: Efficient Inference with Large Models
When in Doubt, Summon the Titans: Efficient Inference with Large Models
A. S. Rawat
Manzil Zaheer
A. Menon
Amr Ahmed
Sanjiv Kumar
58
7
0
19 Oct 2021
The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal
  Padding
The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding
Pratik Fegade
Tianqi Chen
Phillip B. Gibbons
T. Mowry
87
29
0
19 Oct 2021
BEAMetrics: A Benchmark for Language Generation Evaluation Evaluation
BEAMetrics: A Benchmark for Language Generation Evaluation Evaluation
Thomas Scialom
Felix Hill
75
7
0
18 Oct 2021
Quantifying the Task-Specific Information in Text-Based Classifications
Quantifying the Task-Specific Information in Text-Based Classifications
Zining Zhu
Aparna Balagopalan
Marzyeh Ghassemi
Frank Rudzicz
76
4
0
17 Oct 2021
A Survey on Awesome Korean NLP Datasets
A Survey on Awesome Korean NLP Datasets
Byunghyun Ban
90
9
0
17 Oct 2021
Improving Transformers with Probabilistic Attention Keys
Improving Transformers with Probabilistic Attention Keys
Tam Nguyen
T. Nguyen
Dung D. Le
Duy Khuong Nguyen
Viet-Anh Tran
Richard G. Baraniuk
Nhat Ho
Stanley J. Osher
129
33
0
16 Oct 2021
Virtual Augmentation Supported Contrastive Learning of Sentence
  Representations
Virtual Augmentation Supported Contrastive Learning of Sentence Representations
Dejiao Zhang
Wei Xiao
Henghui Zhu
Xiaofei Ma
Andrew O. Arnold
SSL
107
29
0
16 Oct 2021
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain
  Language Model Compression
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression
Chenhe Dong
Yaliang Li
Ying Shen
Minghui Qiu
VLM
111
7
0
16 Oct 2021
Analyzing Dynamic Adversarial Training Data in the Limit
Analyzing Dynamic Adversarial Training Data in the Limit
Eric Wallace
Adina Williams
Robin Jia
Douwe Kiela
277
31
0
16 Oct 2021
Unsupervised Natural Language Inference Using PHL Triplet Generation
Unsupervised Natural Language Inference Using PHL Triplet Generation
Neeraj Varshney
Pratyay Banerjee
Tejas Gokhale
Chitta Baral
78
9
0
16 Oct 2021
Robustness Challenges in Model Distillation and Pruning for Natural
  Language Understanding
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding
Mengnan Du
Subhabrata Mukherjee
Yu Cheng
Milad Shokouhi
Helen Zhou
Ahmed Hassan Awadallah
101
13
0
16 Oct 2021
Clean or Annotate: How to Spend a Limited Data Collection Budget
Clean or Annotate: How to Spend a Limited Data Collection Budget
Derek Chen
Zhou Yu
Samuel R. Bowman
87
13
0
15 Oct 2021
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
Tu Vu
Brian Lester
Noah Constant
Rami Al-Rfou
Daniel Cer
VLMLRM
223
290
0
15 Oct 2021
Exploring Universal Intrinsic Task Subspace via Prompt Tuning
Exploring Universal Intrinsic Task Subspace via Prompt Tuning
Yujia Qin
Xiaozhi Wang
Yusheng Su
Yankai Lin
Ning Ding
...
Juanzi Li
Lei Hou
Peng Li
Maosong Sun
Jie Zhou
VLMVPVLM
190
29
0
15 Oct 2021
Can Explanations Be Useful for Calibrating Black Box Models?
Can Explanations Be Useful for Calibrating Black Box Models?
Xi Ye
Greg Durrett
FAtt
70
25
0
14 Oct 2021
Practical Benefits of Feature Feedback Under Distribution Shift
Practical Benefits of Feature Feedback Under Distribution Shift
Anurag Katakkar
Clay H. Yoo
Weiqin Wang
Zachary Chase Lipton
Divyansh Kaushik
77
5
0
14 Oct 2021
Composable Sparse Fine-Tuning for Cross-Lingual Transfer
Composable Sparse Fine-Tuning for Cross-Lingual Transfer
Alan Ansell
Edoardo Ponti
Anna Korhonen
Ivan Vulić
CLLMoE
159
143
0
14 Oct 2021
Transferring Semantic Knowledge Into Language Encoders
Transferring Semantic Knowledge Into Language Encoders
Mohammad Umair
Francis Ferraro
29
1
0
14 Oct 2021
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based
  on Prompt Tuning of T5
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5
Chengwei Qin
Shafiq Joty
CLL
216
104
0
14 Oct 2021
Symbolic Knowledge Distillation: from General Language Models to
  Commonsense Models
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models
Peter West
Chandrasekhar Bhagavatula
Jack Hessel
Jena D. Hwang
Liwei Jiang
Ronan Le Bras
Ximing Lu
Sean Welleck
Yejin Choi
SyDa
143
333
0
14 Oct 2021
CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in
  Abstractive Summarization
CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization
Prafulla Kumar Choubey
Alexander R. Fabbri
Jesse Vig
Chien-Sheng Wu
Wenhao Liu
Nazneen Rajani
HILM
80
19
0
14 Oct 2021
Semantically Distributed Robust Optimization for Vision-and-Language
  Inference
Semantically Distributed Robust Optimization for Vision-and-Language Inference
Tejas Gokhale
A. Chaudhary
Pratyay Banerjee
Chitta Baral
Yezhou Yang
126
17
0
14 Oct 2021
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline
Xiangyang Liu
Tianxiang Sun
Junliang He
Jiawen Wu
Lingling Wu
Xinyu Zhang
Hao Jiang
Bo Zhao
Xuanjing Huang
Xipeng Qiu
ELM
87
47
0
13 Oct 2021
How Does Momentum Benefit Deep Neural Networks Architecture Design? A
  Few Case Studies
How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies
Bao Wang
Hedi Xia
T. Nguyen
Stanley Osher
AI4CE
109
10
0
13 Oct 2021
Leveraging redundancy in attention with Reuse Transformers
Leveraging redundancy in attention with Reuse Transformers
Srinadh Bhojanapalli
Ayan Chakrabarti
Andreas Veit
Michal Lukasik
Himanshu Jain
Frederick Liu
Yin-Wen Chang
Sanjiv Kumar
52
27
0
13 Oct 2021
Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese
Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese
Zhuosheng Zhang
Hanqing Zhang
Keming Chen
Yuhang Guo
Jingyun Hua
Yulong Wang
Ming Zhou
VLM
110
72
0
13 Oct 2021
Differentially Private Fine-tuning of Language Models
Differentially Private Fine-tuning of Language Models
Da Yu
Saurabh Naik
A. Backurs
Sivakanth Gopi
Huseyin A. Inan
...
Y. Lee
Andre Manoel
Lukas Wutschitz
Sergey Yekhanin
Huishuai Zhang
264
373
0
13 Oct 2021
LiST: Lite Prompted Self-training Makes Parameter-Efficient Few-shot
  Learners
LiST: Lite Prompted Self-training Makes Parameter-Efficient Few-shot Learners
Yaqing Wang
Subhabrata Mukherjee
Xiaodong Liu
Jing Gao
Ahmed Hassan Awadallah
Jianfeng Gao
VLMBDL
110
11
0
12 Oct 2021
Rome was built in 1776: A Case Study on Factual Correctness in
  Knowledge-Grounded Response Generation
Rome was built in 1776: A Case Study on Factual Correctness in Knowledge-Grounded Response Generation
Sashank Santhanam
Behnam Hedayatnia
Spandana Gella
Aishwarya Padmakumar
Seokhwan Kim
Yang Liu
Dilek Z. Hakkani-Tür
88
35
0
11 Oct 2021
Pre-trained Language Models in Biomedical Domain: A Systematic Survey
Pre-trained Language Models in Biomedical Domain: A Systematic Survey
Benyou Wang
Qianqian Xie
Jiahuan Pei
Zhihong Chen
Prayag Tiwari
Zhao Li
Jie Fu
LM&MAAI4CE
154
171
0
11 Oct 2021
Pairwise Margin Maximization for Deep Neural Networks
Pairwise Margin Maximization for Deep Neural Networks
Berry Weinstein
Shai Fine
Y. Hel-Or
31
0
0
09 Oct 2021
Towards a Unified View of Parameter-Efficient Transfer Learning
Towards a Unified View of Parameter-Efficient Transfer Learning
Junxian He
Chunting Zhou
Xuezhe Ma
Taylor Berg-Kirkpatrick
Graham Neubig
AAML
202
958
0
08 Oct 2021
Using Optimal Transport as Alignment Objective for fine-tuning
  Multilingual Contextualized Embeddings
Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings
Sawsan Alqahtani
Garima Lalwani
Yi Zhang
Salvatore Romeo
Saab Mansour
OT
72
25
0
06 Oct 2021
Focus on the Common Good: Group Distributional Robustness Follows
Focus on the Common Good: Group Distributional Robustness Follows
Vihari Piratla
Praneeth Netrapalli
Sunita Sarawagi
OOD
99
26
0
06 Oct 2021
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual
  Learning
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning
Seanie Lee
Haebeom Lee
Juho Lee
Sung Ju Hwang
MoMeCLL
130
19
0
06 Oct 2021
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier
Linyang Li
Demin Song
Ruotian Ma
Xipeng Qiu
Xuanjing Huang
110
21
0
06 Oct 2021
ABC: Attention with Bounded-memory Control
ABC: Attention with Bounded-memory Control
Hao Peng
Jungo Kasai
Nikolaos Pappas
Dani Yogatama
Zhaofeng Wu
Lingpeng Kong
Roy Schwartz
Noah A. Smith
125
22
0
06 Oct 2021
KNOT: Knowledge Distillation using Optimal Transport for Solving NLP
  Tasks
KNOT: Knowledge Distillation using Optimal Transport for Solving NLP Tasks
Rishabh Bhardwaj
Tushar Vaidya
Soujanya Poria
OTFedML
131
8
0
06 Oct 2021
Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer
  Performance
Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer Performance
Karthikeyan K
Aalok Sathe
Somak Aditya
Monojit Choudhury
LRM
92
10
0
05 Oct 2021
Exploiting Twitter as Source of Large Corpora of Weakly Similar Pairs
  for Semantic Sentence Embeddings
Exploiting Twitter as Source of Large Corpora of Weakly Similar Pairs for Semantic Sentence Embeddings
Marco Di Giovanni
Marco Brambilla
55
10
0
05 Oct 2021
Investigating the Impact of Pre-trained Language Models on Dialog
  Evaluation
Investigating the Impact of Pre-trained Language Models on Dialog Evaluation
Chen Zhang
L. F. D’Haro
Yiming Chen
Thomas Friedrichs
Haizhou Li
66
5
0
05 Oct 2021
COVIDRead: A Large-scale Question Answering Dataset on COVID-19
COVIDRead: A Large-scale Question Answering Dataset on COVID-19
Tanik Saikh
Sovan Kumar Sahoo
Asif Ekbal
P. Bhattacharyya
61
5
0
05 Oct 2021
A Survey On Neural Word Embeddings
A Survey On Neural Word Embeddings
Erhan Sezerer
Selma Tekir
AI4TS
86
13
0
05 Oct 2021
MoEfication: Transformer Feed-forward Layers are Mixtures of Experts
MoEfication: Transformer Feed-forward Layers are Mixtures of Experts
Zhengyan Zhang
Yankai Lin
Zhiyuan Liu
Peng Li
Maosong Sun
Jie Zhou
MoE
136
129
0
05 Oct 2021
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics
Prajjwal Bhargava
Aleksandr Drozd
Anna Rogers
161
108
0
04 Oct 2021
Revisiting Self-Training for Few-Shot Learning of Language Model
Revisiting Self-Training for Few-Shot Learning of Language Model
Yiming Chen
Yan Zhang
Chen Zhang
Grandee Lee
Ran Cheng
Haizhou Li
71
42
0
04 Oct 2021
Learning Structural Representations for Recipe Generation and Food
  Retrieval
Learning Structural Representations for Recipe Generation and Food Retrieval
Hao Wang
Guosheng Lin
Guosheng Lin
Chunyan Miao
91
32
0
04 Oct 2021
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