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BERTese: Learning to Speak to BERT

BERTese: Learning to Speak to BERT

9 March 2021
Adi Haviv
Jonathan Berant
Amir Globerson
ArXivPDFHTML

Papers citing "BERTese: Learning to Speak to BERT"

30 / 80 papers shown
Title
Prompting Large Language Models With the Socratic Method
Prompting Large Language Models With the Socratic Method
Edward Y. Chang
LRM
ELM
45
48
0
17 Feb 2023
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with
  Multimodal Models
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models
Zhiqiu Lin
Samuel Yu
Zhiyi Kuang
Deepak Pathak
Deva Ramana
VLM
15
100
0
16 Jan 2023
Optimizing Prompts for Text-to-Image Generation
Optimizing Prompts for Text-to-Image Generation
Y. Hao
Zewen Chi
Li Dong
Furu Wei
27
139
0
19 Dec 2022
SPE: Symmetrical Prompt Enhancement for Fact Probing
SPE: Symmetrical Prompt Enhancement for Fact Probing
Yiyuan Li
Tong Che
Yezhen Wang
Zhengbao Jiang
Caiming Xiong
Snigdha Chaturvedi
26
6
0
14 Nov 2022
Communication breakdown: On the low mutual intelligibility between human
  and neural captioning
Communication breakdown: On the low mutual intelligibility between human and neural captioning
Roberto Dessì
Eleonora Gualdoni
Francesca Franzon
Gemma Boleda
Marco Baroni
VLM
24
6
0
20 Oct 2022
Query Rewriting for Effective Misinformation Discovery
Query Rewriting for Effective Misinformation Discovery
Ashkan Kazemi
Artem Abzaliev
Naihao Deng
Rui Hou
Scott A. Hale
Verónica Pérez-Rosas
Rada Mihalcea
KELM
32
2
0
14 Oct 2022
MetaPrompting: Learning to Learn Better Prompts
MetaPrompting: Learning to Learn Better Prompts
Yutai Hou
Hongyuan Dong
Xinghao Wang
Bohan Li
Wanxiang Che
VLM
21
27
0
23 Sep 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
23
1
0
20 Sep 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
17
45
0
23 Aug 2022
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code
  Intelligence
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence
Chaozheng Wang
Yuanhang Yang
Cuiyun Gao
Yun Peng
Hongyu Zhang
Michael R. Lyu
AAML
59
134
0
24 Jul 2022
Probing via Prompting
Probing via Prompting
Jiaoda Li
Ryan Cotterell
Mrinmaya Sachan
29
13
0
04 Jul 2022
Learning a Better Initialization for Soft Prompts via Meta-Learning
Learning a Better Initialization for Soft Prompts via Meta-Learning
Yukun Huang
Kun Qian
Zhou Yu
VLM
36
9
0
25 May 2022
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language
  Understanding
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding
Rishabh Bhardwaj
Amrita Saha
S. Hoi
Soujanya Poria
VLM
VPVLM
17
7
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
19
0
0
21 May 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
16
11
0
27 Apr 2022
Can Prompt Probe Pretrained Language Models? Understanding the Invisible
  Risks from a Causal View
Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View
Boxi Cao
Hongyu Lin
Xianpei Han
Fangchao Liu
Le Sun
ELM
AAML
20
41
0
23 Mar 2022
Pre-trained Token-replaced Detection Model as Few-shot Learner
Pre-trained Token-replaced Detection Model as Few-shot Learner
Zicheng Li
Shoushan Li
Guodong Zhou
30
8
0
07 Mar 2022
Black-box Prompt Learning for Pre-trained Language Models
Black-box Prompt Learning for Pre-trained Language Models
Shizhe Diao
Zhichao Huang
Ruijia Xu
Xuechun Li
Yong Lin
Xiao Zhou
Tong Zhang
VLM
AAML
28
68
0
21 Jan 2022
Learning To Retrieve Prompts for In-Context Learning
Learning To Retrieve Prompts for In-Context Learning
Ohad Rubin
Jonathan Herzig
Jonathan Berant
VPVLM
RALM
14
665
0
16 Dec 2021
Unified Multimodal Pre-training and Prompt-based Tuning for
  Vision-Language Understanding and Generation
Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation
Tianyi Liu
Zuxuan Wu
Wenhan Xiong
Jingjing Chen
Yu-Gang Jiang
VLM
MLLM
32
10
0
10 Dec 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
69
1,029
0
01 Nov 2021
Good Examples Make A Faster Learner: Simple Demonstration-based Learning
  for Low-resource NER
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER
Dong-Ho Lee
Akshen Kadakia
Kangmin Tan
Mahak Agarwal
Xinyu Feng
Takashi Shibuya
Ryosuke Mitani
Toshiyuki Sekiya
Jay Pujara
Xiang Ren
35
84
0
16 Oct 2021
Distilling Relation Embeddings from Pre-trained Language Models
Distilling Relation Embeddings from Pre-trained Language Models
Asahi Ushio
Jose Camacho-Collados
Steven Schockaert
19
21
0
21 Sep 2021
Continuous Entailment Patterns for Lexical Inference in Context
Continuous Entailment Patterns for Lexical Inference in Context
Martin Schmitt
Hinrich Schütze
31
3
0
08 Sep 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods
  in Natural Language Processing
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu
Weizhe Yuan
Jinlan Fu
Zhengbao Jiang
Hiroaki Hayashi
Graham Neubig
VLM
SyDa
23
3,828
0
28 Jul 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
7
532
0
14 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
30
51
0
12 Apr 2021
Factual Probing Is [MASK]: Learning vs. Learning to Recall
Factual Probing Is [MASK]: Learning vs. Learning to Recall
Zexuan Zhong
Dan Friedman
Danqi Chen
6
403
0
12 Apr 2021
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen
  Domains
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains
Eyal Ben-David
Nadav Oved
Roi Reichart
VLM
OOD
14
88
0
24 Feb 2021
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
408
2,584
0
03 Sep 2019
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