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Pre-trained Language Models Can be Fully Zero-Shot Learners

Pre-trained Language Models Can be Fully Zero-Shot Learners

14 December 2022
Xuandong Zhao
Siqi Ouyang
Zhiguo Yu
Ming-li Wu
Lei Li
    VLM
    LRM
ArXivPDFHTML

Papers citing "Pre-trained Language Models Can be Fully Zero-Shot Learners"

24 / 24 papers shown
Title
Manual Verbalizer Enrichment for Few-Shot Text Classification
Manual Verbalizer Enrichment for Few-Shot Text Classification
Quang Anh Nguyen
Nadi Tomeh
M. Lebbah
Thierry Charnois
Hanene Azzag
Santiago Cordoba Muñoz
VLM
30
0
0
08 Oct 2024
SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization
  of Scientific Topics
SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics
Zhiwen You
Kanyao Han
Haotian Zhu
Bertram Ludäscher
Jana Diesner
28
1
0
02 Oct 2024
T3: A Novel Zero-shot Transfer Learning Framework Iteratively Training on an Assistant Task for a Target Task
T3: A Novel Zero-shot Transfer Learning Framework Iteratively Training on an Assistant Task for a Target Task
Xindi Tong
Yujin Zhu
Shijian Fan
Liang Xu
56
1
0
26 Sep 2024
LumberChunker: Long-Form Narrative Document Segmentation
LumberChunker: Long-Form Narrative Document Segmentation
André V. Duarte
Joao Marques
Miguel Graça
M. Freire
Lei Li
Arlindo L. Oliveira
30
4
0
25 Jun 2024
A LLM-Based Ranking Method for the Evaluation of Automatic
  Counter-Narrative Generation
A LLM-Based Ranking Method for the Evaluation of Automatic Counter-Narrative Generation
I. Zubiaga
A. Soroa
Rodrigo Agerri
34
4
0
21 Jun 2024
Text Grafting: Near-Distribution Weak Supervision for Minority Classes
  in Text Classification
Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification
Letian Peng
Yi Gu
Chengyu Dong
Zihan Wang
Jingbo Shang
24
0
0
17 Jun 2024
Enabling Natural Zero-Shot Prompting on Encoder Models via
  Statement-Tuning
Enabling Natural Zero-Shot Prompting on Encoder Models via Statement-Tuning
A. Elshabrawy
Yongix Huang
Iryna Gurevych
Alham Fikri Aji
35
0
0
19 Apr 2024
Small Language Models are Good Too: An Empirical Study of Zero-Shot
  Classification
Small Language Models are Good Too: An Empirical Study of Zero-Shot Classification
Pierre Lepagnol
Thomas Gerald
Sahar Ghannay
Christophe Servan
Sophie Rosset
47
7
0
17 Apr 2024
Incubating Text Classifiers Following User Instruction with Nothing but
  LLM
Incubating Text Classifiers Following User Instruction with Nothing but LLM
Letian Peng
Jingbo Shang
38
3
0
16 Apr 2024
RulePrompt: Weakly Supervised Text Classification with Prompting PLMs
  and Self-Iterative Logical Rules
RulePrompt: Weakly Supervised Text Classification with Prompting PLMs and Self-Iterative Logical Rules
Miaomiao Li
Jiaqi Zhu
Yang Wang
Yi Yang
Yilin Li
Hongan Wang
LRM
35
4
0
05 Mar 2024
TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision
TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision
Yunyi Zhang
Ruozhen Yang
Xueqiang Xu
Rui Li
Jinfeng Xiao
Jiaming Shen
Jiawei Han
45
10
0
29 Feb 2024
Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in
  Closed-Source LLMs
Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs
Simone Balloccu
Patrícia Schmidtová
Mateusz Lango
Ondrej Dusek
SILM
ELM
PILM
21
155
0
06 Feb 2024
Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines
Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines
Hamed Damirchi
Cristian Rodriguez-Opazo
Ehsan Abbasnejad
Damien Teney
Javen Qinfeng Shi
Stephen Gould
A. Hengel
VLM
35
0
0
29 Nov 2023
Less than One-shot: Named Entity Recognition via Extremely Weak
  Supervision
Less than One-shot: Named Entity Recognition via Extremely Weak Supervision
Letian Peng
Zihan Wang
Jingbo Shang
38
3
0
06 Nov 2023
Universal Self-Adaptive Prompting
Universal Self-Adaptive Prompting
Xingchen Wan
Ruoxi Sun
Hootan Nakhost
H. Dai
Julian Martin Eisenschlos
Sercan Ö. Arik
Tomas Pfister
LRM
36
9
0
24 May 2023
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak
  Supervision for Text Classification
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification
Chengyu Dong
Zihan Wang
Jingbo Shang
18
4
0
24 May 2023
A Benchmark on Extremely Weakly Supervised Text Classification:
  Reconcile Seed Matching and Prompting Approaches
A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches
Zihan Wang
Tianle Wang
Dheeraj Mekala
Jingbo Shang
VLM
26
8
0
22 May 2023
Self-Instruct: Aligning Language Models with Self-Generated Instructions
Self-Instruct: Aligning Language Models with Self-Generated Instructions
Yizhong Wang
Yeganeh Kordi
Swaroop Mishra
Alisa Liu
Noah A. Smith
Daniel Khashabi
Hannaneh Hajishirzi
ALM
SyDa
LRM
22
2,055
0
20 Dec 2022
Beyond Prompting: Making Pre-trained Language Models Better Zero-shot
  Learners by Clustering Representations
Beyond Prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations
Yu Fei
Ping Nie
Zhao Meng
Roger Wattenhofer
Mrinmaya Sachan
VLM
47
20
0
29 Oct 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
355
8,457
0
28 Jan 2022
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,918
0
31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,587
0
21 Jan 2020
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
415
2,584
0
03 Sep 2019
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
297
6,956
0
20 Apr 2018
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