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How Can We Know What Language Models Know?

How Can We Know What Language Models Know?

28 November 2019
Zhengbao Jiang
Frank F. Xu
Jun Araki
Graham Neubig
    KELM
ArXivPDFHTML

Papers citing "How Can We Know What Language Models Know?"

50 / 301 papers shown
Title
Pre-training Language Models with Deterministic Factual Knowledge
Pre-training Language Models with Deterministic Factual Knowledge
Shaobo Li
Xiaoguang Li
Lifeng Shang
Chengjie Sun
Bingquan Liu
Zhenzhou Ji
Xin Jiang
Qun Liu
KELM
47
11
0
20 Oct 2022
Transparency Helps Reveal When Language Models Learn Meaning
Transparency Helps Reveal When Language Models Learn Meaning
Zhaofeng Wu
William Merrill
Hao Peng
Iz Beltagy
Noah A. Smith
19
9
0
14 Oct 2022
Mass-Editing Memory in a Transformer
Mass-Editing Memory in a Transformer
Kevin Meng
Arnab Sen Sharma
A. Andonian
Yonatan Belinkov
David Bau
KELM
VLM
59
531
0
13 Oct 2022
On the Explainability of Natural Language Processing Deep Models
On the Explainability of Natural Language Processing Deep Models
Julia El Zini
M. Awad
29
82
0
13 Oct 2022
Language Models Are Poor Learners of Directional Inference
Language Models Are Poor Learners of Directional Inference
Tianyi Li
Mohammad Javad Hosseini
Sabine Weber
Mark Steedman
26
10
0
10 Oct 2022
Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of
  In-Context Experts
Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts
Nghia T. Le
Fan Bai
Alan Ritter
40
12
0
07 Oct 2022
Understanding Transformer Memorization Recall Through Idioms
Understanding Transformer Memorization Recall Through Idioms
Adi Haviv
Ido Cohen
Jacob Gidron
R. Schuster
Yoav Goldberg
Mor Geva
28
48
0
07 Oct 2022
Calibrating Factual Knowledge in Pretrained Language Models
Calibrating Factual Knowledge in Pretrained Language Models
Qingxiu Dong
Damai Dai
Yifan Song
Jingjing Xu
Zhifang Sui
Lei Li
KELM
249
83
0
07 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
129
95
0
06 Oct 2022
Ask Me Anything: A simple strategy for prompting language models
Ask Me Anything: A simple strategy for prompting language models
Simran Arora
A. Narayan
Mayee F. Chen
Laurel J. Orr
Neel Guha
Kush S. Bhatia
Ines Chami
Frederic Sala
Christopher Ré
ReLM
LRM
235
208
0
05 Oct 2022
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
Guangyi Chen
Weiran Yao
Xiangchen Song
Xinyue Li
Yongming Rao
Kun Zhang
VPVLM
VLM
8
62
0
03 Oct 2022
Automatic Label Sequence Generation for Prompting Sequence-to-sequence
  Models
Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models
Zichun Yu
Tianyu Gao
Zhengyan Zhang
Yankai Lin
Zhiyuan Liu
Maosong Sun
Jie Zhou
VLM
LRM
38
1
0
20 Sep 2022
VIPHY: Probing "Visible" Physical Commonsense Knowledge
VIPHY: Probing "Visible" Physical Commonsense Knowledge
Shikhar Singh
Ehsan Qasemi
Muhao Chen
46
6
0
15 Sep 2022
Visual Prompting via Image Inpainting
Visual Prompting via Image Inpainting
Amir Bar
Yossi Gandelsman
Trevor Darrell
Amir Globerson
Alexei A. Efros
VLM
VPVLM
29
203
0
01 Sep 2022
Why Do Neural Language Models Still Need Commonsense Knowledge to Handle
  Semantic Variations in Question Answering?
Why Do Neural Language Models Still Need Commonsense Knowledge to Handle Semantic Variations in Question Answering?
Sunjae Kwon
Cheongwoong Kang
Jiyeon Han
Jaesik Choi
29
0
0
01 Sep 2022
Continuous QA Learning with Structured Prompts
Yinhe Zheng
CLL
33
1
0
31 Aug 2022
Prompt Tuning with Soft Context Sharing for Vision-Language Models
Prompt Tuning with Soft Context Sharing for Vision-Language Models
Kun Ding
Ying Wang
Pengzhang Liu
Qiang Yu
Hao Zhang
Shiming Xiang
Chunhong Pan
VPVLM
VLM
29
14
0
29 Aug 2022
Prompting as Probing: Using Language Models for Knowledge Base
  Construction
Prompting as Probing: Using Language Models for Knowledge Base Construction
Dimitrios Alivanistos
Selene Báez Santamaría
Michael Cochez
Jan-Christoph Kalo
Emile van Krieken
Thiviyan Thanapalasingam
KELM
25
45
0
23 Aug 2022
A Survey on Open Information Extraction from Rule-based Model to Large
  Language Model
A Survey on Open Information Extraction from Rule-based Model to Large Language Model
Pai Liu
Wenya Gao
Wenjie Dong
Lin Ai
Wen Dong
Songfang Huang
Zongsheng Li
Ehsan Hoque
Julia Hirschberg
Yue Zhang
47
2
0
18 Aug 2022
ELECTRA is a Zero-Shot Learner, Too
ELECTRA is a Zero-Shot Learner, Too
Shiwen Ni
Hung-Yu kao
30
9
0
17 Jul 2022
Probing via Prompting
Probing via Prompting
Jiaoda Li
Ryan Cotterell
Mrinmaya Sachan
37
13
0
04 Jul 2022
Towards Unified Conversational Recommender Systems via
  Knowledge-Enhanced Prompt Learning
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning
Xiaolei Wang
Kun Zhou
Ji-Rong Wen
Wayne Xin Zhao
HAI
AI4TS
41
131
0
19 Jun 2022
Bridging the Gap Between Training and Inference of Bayesian Controllable
  Language Models
Bridging the Gap Between Training and Inference of Bayesian Controllable Language Models
Han Liu
Bingning Wang
Ting Yao
Haijin Liang
Jianjin Xu
Xiaolin Hu
BDL
40
1
0
11 Jun 2022
Are Large Pre-Trained Language Models Leaking Your Personal Information?
Are Large Pre-Trained Language Models Leaking Your Personal Information?
Jie Huang
Hanyin Shao
Kevin Chen-Chuan Chang
PILM
22
178
0
25 May 2022
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained
  Language Models
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models
Da Yin
Hritik Bansal
Masoud Monajatipoor
Liunian Harold Li
Kai-Wei Chang
49
28
0
24 May 2022
The Curious Case of Control
The Curious Case of Control
Elias Stengel-Eskin
Benjamin Van Durme
27
0
0
24 May 2022
BBTv2: Towards a Gradient-Free Future with Large Language Models
BBTv2: Towards a Gradient-Free Future with Large Language Models
Tianxiang Sun
Zhengfu He
Hong Qian
Yunhua Zhou
Xuanjing Huang
Xipeng Qiu
108
53
0
23 May 2022
Few-Shot Natural Language Inference Generation with PDD: Prompt and
  Dynamic Demonstration
Few-Shot Natural Language Inference Generation with PDD: Prompt and Dynamic Demonstration
Kaijian Li
Shansan Gong
Kenny Q. Zhu
27
0
0
21 May 2022
Prototypical Calibration for Few-shot Learning of Language Models
Prototypical Calibration for Few-shot Learning of Language Models
Zhixiong Han
Y. Hao
Li Dong
Yutao Sun
Furu Wei
178
54
0
20 May 2022
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot
  Learners
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners
Canyu Chen
Kai Shu
VLM
31
8
0
18 May 2022
LogicSolver: Towards Interpretable Math Word Problem Solving with
  Logical Prompt-enhanced Learning
LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning
Zhicheng YANG
Jinghui Qin
Jiaqi Chen
Liang Lin
Xiaodan Liang
ReLM
LRM
35
31
0
17 May 2022
Adaptive Prompt Learning-based Few-Shot Sentiment Analysis
Adaptive Prompt Learning-based Few-Shot Sentiment Analysis
Pengfei Zhang
Tingting Chai
Yongdong Xu
VLM
21
13
0
15 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
54
345
0
13 May 2022
Odor Descriptor Understanding through Prompting
Odor Descriptor Understanding through Prompting
Laura Sisson
8
1
0
07 May 2022
Language Models in the Loop: Incorporating Prompting into Weak
  Supervision
Language Models in the Loop: Incorporating Prompting into Weak Supervision
Ryan Smith
Jason Alan Fries
Braden Hancock
Stephen H. Bach
53
53
0
04 May 2022
Lexical Knowledge Internalization for Neural Dialog Generation
Lexical Knowledge Internalization for Neural Dialog Generation
Zhiyong Wu
Wei Bi
Xiang Li
Lingpeng Kong
B. Kao
21
2
0
04 May 2022
Prompt Consistency for Zero-Shot Task Generalization
Prompt Consistency for Zero-Shot Task Generalization
Chunting Zhou
Junxian He
Xuezhe Ma
Taylor Berg-Kirkpatrick
Graham Neubig
VLM
26
74
0
29 Apr 2022
Probing Simile Knowledge from Pre-trained Language Models
Probing Simile Knowledge from Pre-trained Language Models
Weijie Chen
Yongzhu Chang
Rongsheng Zhang
Jiashu Pu
Guandan Chen
Le Zhang
Yadong Xi
Yijiang Chen
Chang Su
24
11
0
27 Apr 2022
Natural Language to Code Translation with Execution
Natural Language to Code Translation with Execution
Freda Shi
Daniel Fried
Marjan Ghazvininejad
Luke Zettlemoyer
Sida I. Wang
38
124
0
25 Apr 2022
Decorate the Examples: A Simple Method of Prompt Design for Biomedical
  Relation Extraction
Decorate the Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction
Hui-Syuan Yeh
Thomas Lavergne
Pierre Zweigenbaum
21
10
0
21 Apr 2022
Polling Latent Opinions: A Method for Computational Sociolinguistics
  Using Transformer Language Models
Polling Latent Opinions: A Method for Computational Sociolinguistics Using Transformer Language Models
Philip G. Feldman
Aaron Dant
James R. Foulds
Shimei Pan
20
3
0
15 Apr 2022
Incremental Prompting: Episodic Memory Prompt for Lifelong Event
  Detection
Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection
Minqian Liu
Shiyu Chang
Lifu Huang
KELM
CLL
22
29
0
15 Apr 2022
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot
  Classification
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification
Han Wang
Canwen Xu
Julian McAuley
VLM
26
12
0
13 Apr 2022
PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization
PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization
Xiaochen Liu
Yang Gao
Yu Bai
Jiawei Li
Yinan Hu
Yang Gao
Boxing Chen
40
22
0
09 Apr 2022
Show, Don't Tell: Demonstrations Outperform Descriptions for
  Schema-Guided Task-Oriented Dialogue
Show, Don't Tell: Demonstrations Outperform Descriptions for Schema-Guided Task-Oriented Dialogue
Raghav Gupta
Harrison Lee
Jeffrey Zhao
Abhinav Rastogi
Yuan Cao
Yonghui Wu
35
24
0
08 Apr 2022
Unsupervised Prompt Learning for Vision-Language Models
Unsupervised Prompt Learning for Vision-Language Models
Hao Huang
Jack Chu
Fangyun Wei
VPVLM
MLLM
VLM
38
132
0
07 Apr 2022
Match-Prompt: Improving Multi-task Generalization Ability for Neural
  Text Matching via Prompt Learning
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning
Shicheng Xu
Liang Pang
Huawei Shen
Xueqi Cheng
VLM
37
17
0
06 Apr 2022
PERFECT: Prompt-free and Efficient Few-shot Learning with Language
  Models
PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models
Rabeeh Karimi Mahabadi
Luke Zettlemoyer
James Henderson
Marzieh Saeidi
Lambert Mathias
Ves Stoyanov
Majid Yazdani
VLM
34
70
0
03 Apr 2022
Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging
Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging
Yutai Hou
Cheng Chen
Xianzhen Luo
Bo-wen Li
Wanxiang Che
BDL
24
21
0
02 Apr 2022
How Pre-trained Language Models Capture Factual Knowledge? A
  Causal-Inspired Analysis
How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis
Shaobo Li
Xiaoguang Li
Lifeng Shang
Zhenhua Dong
Chengjie Sun
Bingquan Liu
Zhenzhou Ji
Xin Jiang
Qun Liu
KELM
34
53
0
31 Mar 2022
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