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How Can We Accelerate Progress Towards Human-like Linguistic
  Generalization?

How Can We Accelerate Progress Towards Human-like Linguistic Generalization?

3 May 2020
Tal Linzen
ArXivPDFHTML

Papers citing "How Can We Accelerate Progress Towards Human-like Linguistic Generalization?"

33 / 33 papers shown
Title
Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
Alex Warstadt
Aaron Mueller
Leshem Choshen
E. Wilcox
Chengxu Zhuang
...
Rafael Mosquera
Bhargavi Paranjape
Adina Williams
Tal Linzen
Ryan Cotterell
142
120
0
10 Apr 2025
Evaluating Morphological Compositional Generalization in Large Language Models
Evaluating Morphological Compositional Generalization in Large Language Models
Mete Ismayilzada
Yuan Chiang
Jonne Sälevä
Hale Sirin
Abdullatif Köksal
Bhuwan Dhingra
Antoine Bosselut
Lonneke van der Plas
Duygu Ataman
57
4
0
16 Oct 2024
Punctuation Restoration Improves Structure Understanding Without Supervision
Punctuation Restoration Improves Structure Understanding Without Supervision
Junghyun Min
Minho Lee
Woochul Lee
Yeonsoo Lee
89
1
0
13 Feb 2024
Syntactic Data Augmentation Increases Robustness to Inference Heuristics
Syntactic Data Augmentation Increases Robustness to Inference Heuristics
Junghyun Min
R. Thomas McCoy
Dipanjan Das
Emily Pitler
Tal Linzen
68
179
0
24 Apr 2020
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating
  Cross-lingual Generalization
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
Junjie Hu
Sebastian Ruder
Aditya Siddhant
Graham Neubig
Orhan Firat
Melvin Johnson
ELM
161
970
0
24 Mar 2020
BLiMP: The Benchmark of Linguistic Minimal Pairs for English
BLiMP: The Benchmark of Linguistic Minimal Pairs for English
Alex Warstadt
Alicia Parrish
Haokun Liu
Anhad Mohananey
Wei Peng
Sheng-Fu Wang
Samuel R. Bowman
72
491
0
02 Dec 2019
BERTs of a feather do not generalize together: Large variability in
  generalization across models with similar test set performance
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance
R. Thomas McCoy
Junghyun Min
Tal Linzen
83
150
0
07 Nov 2019
Adversarial NLI: A New Benchmark for Natural Language Understanding
Adversarial NLI: A New Benchmark for Natural Language Understanding
Yixin Nie
Adina Williams
Emily Dinan
Joey Tianyi Zhou
Jason Weston
Douwe Kiela
115
1,003
0
31 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
371
20,053
0
23 Oct 2019
Quantity doesn't buy quality syntax with neural language models
Quantity doesn't buy quality syntax with neural language models
Marten van Schijndel
Aaron Mueller
Tal Linzen
59
68
0
31 Aug 2019
What BERT is not: Lessons from a new suite of psycholinguistic
  diagnostics for language models
What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models
Allyson Ettinger
79
603
0
31 Jul 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
520
24,351
0
26 Jul 2019
Green AI
Green AI
Roy Schwartz
Jesse Dodge
Noah A. Smith
Oren Etzioni
102
1,134
0
22 Jul 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang
Zihang Dai
Yiming Yang
J. Carbonell
Ruslan Salakhutdinov
Quoc V. Le
AI4CE
218
8,415
0
19 Jun 2019
Human vs. Muppet: A Conservative Estimate of Human Performance on the
  GLUE Benchmark
Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark
Nikita Nangia
Samuel R. Bowman
ELM
ALM
67
75
0
24 May 2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language
  Understanding Systems
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
Alex Jinpeng Wang
Yada Pruksachatkun
Nikita Nangia
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
236
2,307
0
02 May 2019
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets
Nelson F. Liu
Roy Schwartz
Noah A. Smith
AAML
64
106
0
04 Apr 2019
Structural Supervision Improves Learning of Non-Local Grammatical
  Dependencies
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies
Ethan Gotlieb Wilcox
Peng Qian
Richard Futrell
Miguel Ballesteros
R. Levy
53
56
0
03 Mar 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural
  Language Inference
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
R. Thomas McCoy
Ellie Pavlick
Tal Linzen
129
1,234
0
04 Feb 2019
Learning and Evaluating General Linguistic Intelligence
Learning and Evaluating General Linguistic Intelligence
Dani Yogatama
Cyprien de Masson dÁutume
Jerome T. Connor
Tomás Kociský
Mike Chrzanowski
...
Angeliki Lazaridou
Wang Ling
Lei Yu
Chris Dyer
Phil Blunsom
ELM
AI4CE
141
210
0
31 Jan 2019
A Corpus for Reasoning About Natural Language Grounded in Photographs
A Corpus for Reasoning About Natural Language Grounded in Photographs
Alane Suhr
Stephanie Zhou
Ally Zhang
Iris Zhang
Huajun Bai
Yoav Artzi
LRM
96
601
0
01 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.5K
94,511
0
11 Oct 2018
Targeted Syntactic Evaluation of Language Models
Targeted Syntactic Evaluation of Language Models
Rebecca Marvin
Tal Linzen
70
415
0
27 Aug 2018
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense
  Inference
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference
Rowan Zellers
Yonatan Bisk
Roy Schwartz
Yejin Choi
98
718
0
16 Aug 2018
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
227
579
0
02 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
904
7,141
0
20 Apr 2018
Annotation Artifacts in Natural Language Inference Data
Annotation Artifacts in Natural Language Inference Data
Suchin Gururangan
Swabha Swayamdipta
Omer Levy
Roy Schwartz
Samuel R. Bowman
Noah A. Smith
134
1,175
0
06 Mar 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
186
11,542
0
15 Feb 2018
Adversarial Examples for Evaluating Reading Comprehension Systems
Adversarial Examples for Evaluating Reading Comprehension Systems
Robin Jia
Percy Liang
AAML
ELM
196
1,602
0
23 Jul 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
636
130,942
0
12 Jun 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
499
4,473
0
18 Apr 2017
Cognitive Science in the era of Artificial Intelligence: A roadmap for
  reverse-engineering the infant language-learner
Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner
Emmanuel Dupoux
64
155
0
29 Jul 2016
A large annotated corpus for learning natural language inference
A large annotated corpus for learning natural language inference
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
286
4,280
0
21 Aug 2015
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