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oLMpics -- On what Language Model Pre-training Captures

oLMpics -- On what Language Model Pre-training Captures

31 December 2019
Alon Talmor
Yanai Elazar
Yoav Goldberg
Jonathan Berant
    LRM
ArXivPDFHTML

Papers citing "oLMpics -- On what Language Model Pre-training Captures"

50 / 197 papers shown
Title
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
ELM
LRM
31
4
0
04 Dec 2021
Learning Symbolic Rules for Reasoning in Quasi-Natural Language
Learning Symbolic Rules for Reasoning in Quasi-Natural Language
Kaiyu Yang
Jia Deng
NAI
ReLM
LRM
19
13
0
23 Nov 2021
Enhancing Multilingual Language Model with Massive Multilingual
  Knowledge Triples
Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples
Linlin Liu
Xin Li
Ruidan He
Lidong Bing
Chenyu You
Luo Si
KELM
40
18
0
22 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&MA
VLM
AI4CE
83
1,035
0
01 Nov 2021
Interpreting Deep Learning Models in Natural Language Processing: A
  Review
Interpreting Deep Learning Models in Natural Language Processing: A Review
Xiaofei Sun
Diyi Yang
Xiaoya Li
Tianwei Zhang
Yuxian Meng
Han Qiu
Guoyin Wang
Eduard H. Hovy
Jiwei Li
17
44
0
20 Oct 2021
Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey
Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey
Xiaokai Wei
Shen Wang
Dejiao Zhang
Parminder Bhatia
Andrew O. Arnold
KELM
29
45
0
16 Oct 2021
The Dangers of Underclaiming: Reasons for Caution When Reporting How NLP
  Systems Fail
The Dangers of Underclaiming: Reasons for Caution When Reporting How NLP Systems Fail
Sam Bowman
OffRL
24
45
0
15 Oct 2021
DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained
  Neural Text2Text Language Models
DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Models
Gregor Betz
Kyle Richardson
22
8
0
04 Oct 2021
A Survey of Knowledge Enhanced Pre-trained Models
A Survey of Knowledge Enhanced Pre-trained Models
Jian Yang
Xinyu Hu
Gang Xiao
Yulong Shen
KELM
37
5
0
01 Oct 2021
RuleBert: Teaching Soft Rules to Pre-trained Language Models
RuleBert: Teaching Soft Rules to Pre-trained Language Models
Mohammed Saeed
N. Ahmadi
Preslav Nakov
Paolo Papotti
LRM
253
31
0
24 Sep 2021
Distilling Relation Embeddings from Pre-trained Language Models
Distilling Relation Embeddings from Pre-trained Language Models
Asahi Ushio
Jose Camacho-Collados
Steven Schockaert
24
21
0
21 Sep 2021
SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based
  Sentiment Analysis
SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis
Chengxi Li
Feiyu Gao
Jiajun Bu
Lu Xu
Xiang Chen
...
Zirui Shao
Qi Zheng
Ningyu Zhang
Yongpan Wang
Zhi Yu
38
55
0
17 Sep 2021
Not All Models Localize Linguistic Knowledge in the Same Place: A
  Layer-wise Probing on BERToids' Representations
Not All Models Localize Linguistic Knowledge in the Same Place: A Layer-wise Probing on BERToids' Representations
Mohsen Fayyaz
Ehsan Aghazadeh
Ali Modarressi
Hosein Mohebbi
Mohammad Taher Pilehvar
18
21
0
13 Sep 2021
How Does Fine-tuning Affect the Geometry of Embedding Space: A Case
  Study on Isotropy
How Does Fine-tuning Affect the Geometry of Embedding Space: A Case Study on Isotropy
S. Rajaee
Mohammad Taher Pilehvar
79
20
0
10 Sep 2021
Transformers in the loop: Polarity in neural models of language
Transformers in the loop: Polarity in neural models of language
Lisa Bylinina
Alexey Tikhonov
38
0
0
08 Sep 2021
Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense
  in Text Generation Models
Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models
Steven Y. Feng
Kevin Lu
Zhuofu Tao
Malihe Alikhani
Teruko Mitamura
Eduard H. Hovy
Varun Gangal
LRM
38
13
0
08 Sep 2021
A Bayesian Framework for Information-Theoretic Probing
A Bayesian Framework for Information-Theoretic Probing
Tiago Pimentel
Ryan Cotterell
28
24
0
08 Sep 2021
NumGPT: Improving Numeracy Ability of Generative Pre-trained Models
NumGPT: Improving Numeracy Ability of Generative Pre-trained Models
Zhihua Jin
Xin Jiang
Xingbo Wang
Qun Liu
Yong Wang
Xiaozhe Ren
Huamin Qu
16
19
0
07 Sep 2021
Rethinking Why Intermediate-Task Fine-Tuning Works
Rethinking Why Intermediate-Task Fine-Tuning Works
Ting-Yun Chang
Chi-Jen Lu
LRM
19
29
0
26 Aug 2021
SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation
SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation
Steven Y. Feng
Jessica Huynh
Chaitanya Narisetty
Eduard H. Hovy
Varun Gangal
VLM
35
9
0
15 Aug 2021
Turning Tables: Generating Examples from Semi-structured Tables for
  Endowing Language Models with Reasoning Skills
Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skills
Ori Yoran
Alon Talmor
Jonathan Berant
ReLM
LRM
183
53
0
15 Jul 2021
A Closer Look at How Fine-tuning Changes BERT
A Closer Look at How Fine-tuning Changes BERT
Yichu Zhou
Vivek Srikumar
26
63
0
27 Jun 2021
Core Challenges in Embodied Vision-Language Planning
Core Challenges in Embodied Vision-Language Planning
Jonathan M Francis
Nariaki Kitamura
Felix Labelle
Xiaopeng Lu
Ingrid Navarro
Jean Oh
LM&Ro
47
45
0
26 Jun 2021
Probing Pre-Trained Language Models for Disease Knowledge
Probing Pre-Trained Language Models for Disease Knowledge
Israa Alghanmi
Luis Espinosa-Anke
Steven Schockaert
LM&MA
ELM
27
13
0
14 Jun 2021
Prompting Contrastive Explanations for Commonsense Reasoning Tasks
Prompting Contrastive Explanations for Commonsense Reasoning Tasks
Bhargavi Paranjape
Julian Michael
Marjan Ghazvininejad
Luke Zettlemoyer
Hannaneh Hajishirzi
ReLM
LRM
22
66
0
12 Jun 2021
PROST: Physical Reasoning of Objects through Space and Time
PROST: Physical Reasoning of Objects through Space and Time
Stéphane Aroca-Ouellette
Cory Paik
A. Roncone
Katharina Kann
LRM
19
46
0
07 Jun 2021
Can Generative Pre-trained Language Models Serve as Knowledge Bases for
  Closed-book QA?
Can Generative Pre-trained Language Models Serve as Knowledge Bases for Closed-book QA?
Cunxiang Wang
Pai Liu
Yue Zhang
RALM
33
80
0
03 Jun 2021
Dissecting Generation Modes for Abstractive Summarization Models via
  Ablation and Attribution
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution
Jiacheng Xu
Greg Durrett
38
16
0
03 Jun 2021
John praised Mary because he? Implicit Causality Bias and Its
  Interaction with Explicit Cues in LMs
John praised Mary because he? Implicit Causality Bias and Its Interaction with Explicit Cues in LMs
Yova Kementchedjhieva
Mark Anderson
Anders Søgaard
21
13
0
02 Jun 2021
Inside ASCENT: Exploring a Deep Commonsense Knowledge Base and its Usage
  in Question Answering
Inside ASCENT: Exploring a Deep Commonsense Knowledge Base and its Usage in Question Answering
Tuan-Phong Nguyen
Simon Razniewski
Gerhard Weikum
16
5
0
28 May 2021
Inspecting the concept knowledge graph encoded by modern language models
Inspecting the concept knowledge graph encoded by modern language models
Carlos Aspillaga
Marcelo Mendoza
Alvaro Soto
27
13
0
27 May 2021
Understanding by Understanding Not: Modeling Negation in Language Models
Understanding by Understanding Not: Modeling Negation in Language Models
Arian Hosseini
Siva Reddy
Dzmitry Bahdanau
R. Devon Hjelm
Alessandro Sordoni
Rameswar Panda
22
87
0
07 May 2021
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing
  Regressions In NLP Model Updates
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates
Yuqing Xie
Yi-An Lai
Yuanjun Xiong
Yi Zhang
Stefano Soatto
UQCV
19
16
0
07 May 2021
Let's Play Mono-Poly: BERT Can Reveal Words' Polysemy Level and
  Partitionability into Senses
Let's Play Mono-Poly: BERT Can Reveal Words' Polysemy Level and Partitionability into Senses
Aina Garí Soler
Marianna Apidianaki
MILM
211
68
0
29 Apr 2021
Novel Aficionados and Doppelgängers: a referential task for semantic
  representations of individual entities
Novel Aficionados and Doppelgängers: a referential task for semantic representations of individual entities
Andrea Bruera
Aurélie Herbelot
17
1
0
20 Apr 2021
Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense
  Reasoning Tasks
Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks
Lisa Bauer
Mohit Bansal
19
19
0
20 Apr 2021
Probing for Bridging Inference in Transformer Language Models
Probing for Bridging Inference in Transformer Language Models
Onkar Pandit
Yufang Hou
53
14
0
19 Apr 2021
Back to Square One: Artifact Detection, Training and Commonsense
  Disentanglement in the Winograd Schema
Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema
Yanai Elazar
Hongming Zhang
Yoav Goldberg
Dan Roth
ReLM
LRM
45
44
0
16 Apr 2021
Probing Across Time: What Does RoBERTa Know and When?
Probing Across Time: What Does RoBERTa Know and When?
Leo Z. Liu
Yizhong Wang
Jungo Kasai
Hannaneh Hajishirzi
Noah A. Smith
KELM
13
80
0
16 Apr 2021
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts
Guanghui Qin
J. Eisner
9
533
0
14 Apr 2021
AR-LSAT: Investigating Analytical Reasoning of Text
AR-LSAT: Investigating Analytical Reasoning of Text
Wanjun Zhong
Siyuan Wang
Duyu Tang
Zenan Xu
Daya Guo
Jiahai Wang
Jian Yin
Ming Zhou
Nan Duan
ELM
27
40
0
14 Apr 2021
What's in your Head? Emergent Behaviour in Multi-Task Transformer Models
What's in your Head? Emergent Behaviour in Multi-Task Transformer Models
Mor Geva
Uri Katz
Aviv Ben-Arie
Jonathan Berant
LRM
43
11
0
13 Apr 2021
DirectProbe: Studying Representations without Classifiers
DirectProbe: Studying Representations without Classifiers
Yichu Zhou
Vivek Srikumar
32
27
0
13 Apr 2021
Relational World Knowledge Representation in Contextual Language Models:
  A Review
Relational World Knowledge Representation in Contextual Language Models: A Review
Tara Safavi
Danai Koutra
KELM
35
51
0
12 Apr 2021
What's the best place for an AI conference, Vancouver or ______: Why
  completing comparative questions is difficult
What's the best place for an AI conference, Vancouver or ______: Why completing comparative questions is difficult
Avishai Zagoury
Einat Minkov
Idan Szpektor
William W. Cohen
ELM
35
6
0
05 Apr 2021
Exploring the Role of BERT Token Representations to Explain Sentence
  Probing Results
Exploring the Role of BERT Token Representations to Explain Sentence Probing Results
Hosein Mohebbi
Ali Modarressi
Mohammad Taher Pilehvar
MILM
24
23
0
03 Apr 2021
CURIE: An Iterative Querying Approach for Reasoning About Situations
CURIE: An Iterative Querying Approach for Reasoning About Situations
Dheeraj Rajagopal
Aman Madaan
Niket Tandon
Yiming Yang
Shrimai Prabhumoye
Abhilasha Ravichander
Peter Clark
Eduard H. Hovy
ReLM
LRM
8
6
0
01 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
Large Pre-trained Language Models Contain Human-like Biases of What is
  Right and Wrong to Do
Large Pre-trained Language Models Contain Human-like Biases of What is Right and Wrong to Do
P. Schramowski
Cigdem Turan
Nico Andersen
Constantin Rothkopf
Kristian Kersting
33
281
0
08 Mar 2021
Investigating the Limitations of Transformers with Simple Arithmetic
  Tasks
Investigating the Limitations of Transformers with Simple Arithmetic Tasks
Rodrigo Nogueira
Zhiying Jiang
Jimmy J. Li
LRM
24
122
0
25 Feb 2021
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