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PAWS: Paraphrase Adversaries from Word Scrambling

PAWS: Paraphrase Adversaries from Word Scrambling

1 April 2019
Yuan Zhang
Jason Baldridge
Luheng He
ArXiv (abs)PDFHTML

Papers citing "PAWS: Paraphrase Adversaries from Word Scrambling"

50 / 386 papers shown
Revisiting Machine Translation for Cross-lingual Classification
Revisiting Machine Translation for Cross-lingual ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Mikel Artetxe
Vedanuj Goswami
Shruti Bhosale
Angela Fan
Luke Zettlemoyer
LRM
200
46
0
23 May 2023
Natural Language Decompositions of Implicit Content Enable Better Text Representations
Natural Language Decompositions of Implicit Content Enable Better Text RepresentationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Alexander Miserlis Hoyle
Rupak Sarkar
Pranav Goel
Philip Resnik
AI4CE
483
21
0
23 May 2023
Improving Classifier Robustness through Active Generation of Pairwise
  Counterfactuals
Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals
Ananth Balashankar
Xuezhi Wang
Yao Qin
Ben Packer
Nithum Thain
Jilin Chen
Ed H. Chi
Alex Beutel
150
1
0
22 May 2023
Towards Unsupervised Recognition of Token-level Semantic Differences in
  Related Documents
Towards Unsupervised Recognition of Token-level Semantic Differences in Related DocumentsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jannis Vamvas
Rico Sennrich
199
3
0
22 May 2023
How do languages influence each other? Studying cross-lingual data
  sharing during LM fine-tuning
How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuningConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Rochelle Choenni
Dan Garrette
Ekaterina Shutova
329
20
0
22 May 2023
SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization
  Evaluation
SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Elizabeth Clark
Shruti Rijhwani
Sebastian Gehrmann
Joshua Maynez
Roee Aharoni
Vitaly Nikolaev
Thibault Sellam
Aditya Siddhant
Dipanjan Das
Ankur P. Parikh
272
49
0
22 May 2023
Prompting with Pseudo-Code Instructions
Prompting with Pseudo-Code InstructionsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Mayank Mishra
Praveen Venkateswaran
Riyaz Ahmad Bhat
V. Rudramurthy
Danish Contractor
Srikanth G. Tamilselvam
324
16
0
19 May 2023
Separating form and meaning: Using self-consistency to quantify task
  understanding across multiple senses
Separating form and meaning: Using self-consistency to quantify task understanding across multiple sensesIEEE Games Entertainment Media Conference (IEEE GEM), 2023
Xenia Ohmer
Elia Bruni
Dieuwke Hupkes
LRM
302
17
0
19 May 2023
Towards More Robust NLP System Evaluation: Handling Missing Scores in
  Benchmarks
Towards More Robust NLP System Evaluation: Handling Missing Scores in BenchmarksConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Anas Himmi
Ekhine Irurozki
Nathan Noiry
Nathan Huet
Pierre Colombo
334
11
0
17 May 2023
Pre-Training to Learn in Context
Pre-Training to Learn in ContextAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Yuxian Gu
Li Dong
Furu Wei
Shiyu Huang
CLIPLRMReLM
352
54
0
16 May 2023
Symbol tuning improves in-context learning in language models
Symbol tuning improves in-context learning in language modelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jerry W. Wei
Le Hou
Andrew Kyle Lampinen
Xiangning Chen
Da Huang
...
Xinyun Chen
Yifeng Lu
Denny Zhou
Tengyu Ma
Quoc V. Le
LRM
331
102
0
15 May 2023
What are the Desired Characteristics of Calibration Sets? Identifying
  Correlates on Long Form Scientific Summarization
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Griffin Adams
Bichlien H. Nguyen
Jake A. Smith
Ziheng Lu
Shufang Xie
Anna Ostropolets
Budhaditya Deb
Yuan Chen
Tristan Naumann
Noémie Elhadad
272
11
0
12 May 2023
Think Twice: Measuring the Efficiency of Eliminating Prediction
  Shortcuts of Question Answering Models
Think Twice: Measuring the Efficiency of Eliminating Prediction Shortcuts of Question Answering ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Lukávs Mikula
Michal vStefánik
Marek Petrovivc
Petr Sojka
203
6
0
11 May 2023
Toward Adversarial Training on Contextualized Language Representation
Toward Adversarial Training on Contextualized Language RepresentationInternational Conference on Learning Representations (ICLR), 2023
Hongqiu Wu
Wenshu Fan
Han Shi
Haizhen Zhao
Hao Fei
AAML
157
15
0
08 May 2023
Target-Side Augmentation for Document-Level Machine Translation
Target-Side Augmentation for Document-Level Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Guangsheng Bao
Zhiyang Teng
Yue Zhang
269
11
0
08 May 2023
CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing
CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing
Songyang Gao
Jiajun Sun
Junjie Shan
Tao Gui
Xuanjing Huang
CML
169
0
0
04 May 2023
Black-box Prompt Tuning with Subspace Learning
Black-box Prompt Tuning with Subspace LearningIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2023
Yuanhang Zheng
Zhixing Tan
Peng Li
Yang Liu
VLM
356
13
0
04 May 2023
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances
  in QA
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QAAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Neeraj Varshney
Chitta Baral
171
16
0
02 May 2023
Moving Forward by Moving Backward: Embedding Action Impact over Action
  Semantics
Moving Forward by Moving Backward: Embedding Action Impact over Action SemanticsInternational Conference on Learning Representations (ICLR), 2023
Kuo-Hao Zeng
Luca Weihs
Roozbeh Mottaghi
Ali Farhadi
180
3
0
24 Apr 2023
Lost in Translationese? Reducing Translation Effect Using Abstract
  Meaning Representation
Lost in Translationese? Reducing Translation Effect Using Abstract Meaning RepresentationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Shira Wein
Nathan Schneider
212
14
0
23 Apr 2023
VECO 2.0: Cross-lingual Language Model Pre-training with
  Multi-granularity Contrastive Learning
VECO 2.0: Cross-lingual Language Model Pre-training with Multi-granularity Contrastive Learning
Zhen-Ru Zhang
Chuanqi Tan
Songfang Huang
Fei Huang
VLM
150
6
0
17 Apr 2023
Noise-Robust Dense Retrieval via Contrastive Alignment Post Training
Noise-Robust Dense Retrieval via Contrastive Alignment Post Training
Daniel Fernando Campos
ChengXiang Zhai
Alessandro Magnani
214
5
0
06 Apr 2023
ConceptEVA: Concept-Based Interactive Exploration and Customization of
  Document Summaries
ConceptEVA: Concept-Based Interactive Exploration and Customization of Document SummariesInternational Conference on Human Factors in Computing Systems (CHI), 2023
Xiaoyu Zhang
J. Li
Po-Wei Chi
Senthil K. Chandrasegaran
Kwan-Liu Ma
231
28
0
31 Mar 2023
Paraphrase Detection: Human vs. Machine Content
Paraphrase Detection: Human vs. Machine Content
Jonas Becker
Jan Philip Wahle
Terry Ruas
Bela Gipp
DeLMO
278
16
0
24 Mar 2023
MEGA: Multilingual Evaluation of Generative AI
MEGA: Multilingual Evaluation of Generative AIConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Kabir Ahuja
Harshita Diddee
Rishav Hada
Millicent Ochieng
Krithika Ramesh
...
T. Ganu
Sameer Segal
Maxamed Axmed
Kalika Bali
Sunayana Sitaram
LM&MALRMELM
550
348
0
22 Mar 2023
UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation
UPRISE: Universal Prompt Retrieval for Improving Zero-Shot EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Daixuan Cheng
Shaohan Huang
Junyu Bi
Yu-Wei Zhan
Jianfeng Liu
Yujing Wang
Hao Sun
Furu Wei
Denvy Deng
Tao Gui
RALMLRM
223
94
0
15 Mar 2023
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning
Multitask Prompt Tuning Enables Parameter-Efficient Transfer LearningInternational Conference on Learning Representations (ICLR), 2023
Zhen Wang
Yikang Shen
Leonid Karlinsky
Rogerio Feris
Huan Sun
Yoon Kim
VLMVPVLM
220
151
0
06 Mar 2023
Mixture of Soft Prompts for Controllable Data Generation
Mixture of Soft Prompts for Controllable Data GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Derek Chen
Celine Lee
Yunan Lu
Domenic Rosati
Zhou Yu
353
30
0
02 Mar 2023
WiCE: Real-World Entailment for Claims in Wikipedia
WiCE: Real-World Entailment for Claims in WikipediaConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Ryo Kamoi
Tanya Goyal
Juan Diego Rodriguez
Greg Durrett
238
120
0
02 Mar 2023
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases
Yanchen Liu
Jing Yang
Yan Chen
Jing Liu
Huaqin Wu
MoE
200
2
0
28 Feb 2023
Learning to Initialize: Can Meta Learning Improve Cross-task
  Generalization in Prompt Tuning?
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Chengwei Qin
Cunliang Kong
Ruochen Zhao
Shafiq Joty
VLMLRM
364
17
0
16 Feb 2023
READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input
  Noises
READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input NoisesAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Chenglei Si
Zhengyan Zhang
Yingfa Chen
Xiaozhi Wang
Zhiyuan Liu
Maosong Sun
AAML
224
1
0
14 Feb 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future
  Research Directions
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions
Marwan Omar
SILMAAML
208
21
0
14 Feb 2023
Real-Time Visual Feedback to Guide Benchmark Creation: A
  Human-and-Metric-in-the-Loop Workflow
Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop WorkflowConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Anjana Arunkumar
Swaroop Mishra
Bhavdeep Singh Sachdeva
Chitta Baral
Chris Bryan
159
0
0
09 Feb 2023
Exploring the Benefits of Training Expert Language Models over
  Instruction Tuning
Exploring the Benefits of Training Expert Language Models over Instruction TuningInternational Conference on Machine Learning (ICML), 2023
Joel Jang
Seungone Kim
Seonghyeon Ye
Doyoung Kim
Lajanugen Logeswaran
Moontae Lee
Kyungjae Lee
Minjoon Seo
LRMALM
456
93
0
07 Feb 2023
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text
  Classification
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text ClassificationInternational Conference on Learning Representations (ICLR), 2023
Lingfeng Shen
Ze Zhang
Haiyun Jiang
Ying-Cong Chen
AAML
341
9
0
03 Feb 2023
Paraphrase Acquisition from Image Captions
Paraphrase Acquisition from Image CaptionsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Marcel Gohsen
Matthias Hagen
Martin Potthast
Benno Stein
157
0
0
26 Jan 2023
tasksource: A Dataset Harmonization Framework for Streamlined NLP
  Multi-Task Learning and Evaluation
tasksource: A Dataset Harmonization Framework for Streamlined NLP Multi-Task Learning and Evaluation
Damien Sileo
223
13
0
14 Jan 2023
WeCheck: Strong Factual Consistency Checker via Weakly Supervised
  Learning
WeCheck: Strong Factual Consistency Checker via Weakly Supervised LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Wenhao Wu
Wei Li
Xinyan Xiao
Jiachen Liu
Sujian Li
Yajuan Lv
HILM
256
8
0
20 Dec 2022
Attributed Question Answering: Evaluation and Modeling for Attributed
  Large Language Models
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models
Bernd Bohnet
Vinh Q. Tran
Pat Verga
Roee Aharoni
D. Andor
...
Michael Collins
Dipanjan Das
Donald Metzler
Slav Petrov
Kellie Webster
300
79
0
15 Dec 2022
Paraphrase Identification with Deep Learning: A Review of Datasets and
  Methods
Paraphrase Identification with Deep Learning: A Review of Datasets and MethodsIEEE Access (IEEE Access), 2022
Chao Zhou
Cheng Qiu
Daniel Ernesto Acuna
294
34
0
13 Dec 2022
Feature-Level Debiased Natural Language Understanding
Feature-Level Debiased Natural Language UnderstandingAAAI Conference on Artificial Intelligence (AAAI), 2022
Yougang Lyu
Piji Li
Yechang Yang
Maarten de Rijke
Sudipta Singha Roy
Yukun Zhao
D. Yin
Zhaochun Ren
231
12
0
11 Dec 2022
AGRO: Adversarial Discovery of Error-prone groups for Robust
  Optimization
AGRO: Adversarial Discovery of Error-prone groups for Robust OptimizationInternational Conference on Learning Representations (ICLR), 2022
Bhargavi Paranjape
Pradeep Dasigi
Vivek Srikumar
Luke Zettlemoyer
Hannaneh Hajishirzi
241
9
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02 Dec 2022
Leveraging Data Recasting to Enhance Tabular Reasoning
Leveraging Data Recasting to Enhance Tabular ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Aashna Jena
Vivek Gupta
Manish Shrivastava
Julian Martin Eisenschlos
LMTD
171
6
0
23 Nov 2022
Improving word mover's distance by leveraging self-attention matrix
Improving word mover's distance by leveraging self-attention matrixConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Hiroaki Yamagiwa
Sho Yokoi
Hidetoshi Shimodaira
OT
155
6
0
11 Nov 2022
Measuring Reliability of Large Language Models through Semantic
  Consistency
Measuring Reliability of Large Language Models through Semantic Consistency
Harsh Raj
Domenic Rosati
Subhabrata Majumdar
HILM
263
39
0
10 Nov 2022
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in
  Natural Language Inference
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language InferenceConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
S. Rajaee
Yadollah Yaghoobzadeh
Mohammad Taher Pilehvar
177
5
0
07 Nov 2022
Multi-level Distillation of Semantic Knowledge for Pre-training
  Multilingual Language Model
Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language ModelConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Mingqi Li
Fei Ding
Dan Zhang
Long Cheng
Hongxin Hu
Feng Luo
211
8
0
02 Nov 2022
Learning to Decompose: Hypothetical Question Decomposition Based on
  Comparable Texts
Learning to Decompose: Hypothetical Question Decomposition Based on Comparable TextsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Ben Zhou
Kyle Richardson
Xiaodong Yu
Dan Roth
ReLM
207
28
0
30 Oct 2022
Fine-Grained Emotional Paraphrasing along Emotion Gradients
Fine-Grained Emotional Paraphrasing along Emotion Gradients
Justin J Xie
133
1
0
30 Oct 2022
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