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Prototypical Verbalizer for Prompt-based Few-shot Tuning

Prototypical Verbalizer for Prompt-based Few-shot Tuning

18 March 2022
Ganqu Cui
Shengding Hu
Ning Ding
Longtao Huang
Zhiyuan Liu
    VLM
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Papers citing "Prototypical Verbalizer for Prompt-based Few-shot Tuning"

22 / 22 papers shown
Title
FPT: Feature Prompt Tuning for Few-shot Readability Assessment
FPT: Feature Prompt Tuning for Few-shot Readability Assessment
Ziyang Wang
Sanwoo Lee
Hsiu-Yuan Huang
Yunfang Wu
AAML
VLM
36
0
0
03 Apr 2024
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and
  Understanding -- A Survey
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey
Xi Fang
Weijie Xu
Fiona Anting Tan
Jiani Zhang
Ziqing Hu
Yanjun Qi
Scott Nickleach
Diego Socolinsky
Srinivasan H. Sengamedu
Christos Faloutsos
LMTD
ALM
37
66
0
27 Feb 2024
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection
Pei Wang
Keqing He
Yutao Mou
Xiaoshuai Song
Yanan Wu
Jingang Wang
Yunsen Xian
Xunliang Cai
Weiran Xu
16
3
0
20 Oct 2023
Manifold-based Verbalizer Space Re-embedding for Tuning-free
  Prompt-based Classification
Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification
Hao Wang
Sendong Zhao
Chi-Liang Liu
Nuwa Xi
Muzhen Cai
Bing Qin
Ting Liu
29
1
0
08 Sep 2023
Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification
Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification
Kexi Ji
Yixin Lian
Jingsheng Gao
Baoyuan Wang
VLM
19
21
0
26 May 2023
Automated Few-shot Classification with Instruction-Finetuned Language
  Models
Automated Few-shot Classification with Instruction-Finetuned Language Models
Rami Aly
Xingjian Shi
Kaixiang Lin
Aston Zhang
A. Wilson
38
9
0
21 May 2023
Rethinking Visual Prompt Learning as Masked Visual Token Modeling
Rethinking Visual Prompt Learning as Masked Visual Token Modeling
Ning Liao
Bowen Shi
Xiaopeng Zhang
Min Cao
Junchi Yan
Qi Tian
VLM
34
7
0
09 Mar 2023
SGL-PT: A Strong Graph Learner with Graph Prompt Tuning
SGL-PT: A Strong Graph Learner with Graph Prompt Tuning
Yun Zhu
Jianhao Guo
Siliang Tang
22
28
0
24 Feb 2023
Scalable Prompt Generation for Semi-supervised Learning with Language
  Models
Scalable Prompt Generation for Semi-supervised Learning with Language Models
Yuhang Zhou
Suraj Maharjan
Bei Liu
VLM
31
13
0
18 Feb 2023
Decoder Tuning: Efficient Language Understanding as Decoding
Decoder Tuning: Efficient Language Understanding as Decoding
Ganqu Cui
Wentao Li
Ning Ding
Longtao Huang
Zhiyuan Liu
Maosong Sun
21
6
0
16 Dec 2022
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class
  Classification
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification
Y. Li
Canran Xu
Guodong Long
Tao Shen
Chongyang Tao
Jing Jiang
38
1
0
11 Nov 2022
Few-shot Classification with Hypersphere Modeling of Prototypes
Few-shot Classification with Hypersphere Modeling of Prototypes
Ning Ding
Yulin Chen
Ganqu Cui
Xiaobin Wang
Haitao Zheng
Zhiyuan Liu
Pengjun Xie
25
8
0
10 Nov 2022
Tuning Language Models as Training Data Generators for
  Augmentation-Enhanced Few-Shot Learning
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
Yu Meng
Martin Michalski
Jiaxin Huang
Yu Zhang
Tarek F. Abdelzaher
Jiawei Han
VLM
49
46
0
06 Nov 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
TabLLM: Few-shot Classification of Tabular Data with Large Language
  Models
TabLLM: Few-shot Classification of Tabular Data with Large Language Models
S. Hegselmann
Alejandro Buendia
Hunter Lang
Monica Agrawal
Xiaoyi Jiang
David Sontag
LMTD
55
210
0
19 Oct 2022
Few-shot Named Entity Recognition with Entity-level Prototypical Network
  Enhanced by Dispersedly Distributed Prototypes
Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes
Bin Ji
Shasha Li
Shaoduo Gan
Jie Yu
Jun Ma
Huijun Liu
21
32
0
17 Aug 2022
FLEX: Unifying Evaluation for Few-Shot NLP
FLEX: Unifying Evaluation for Few-Shot NLP
Jonathan Bragg
Arman Cohan
Kyle Lo
Iz Beltagy
205
104
0
15 Jul 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,848
0
18 Apr 2021
WARP: Word-level Adversarial ReProgramming
WARP: Word-level Adversarial ReProgramming
Karen Hambardzumyan
Hrant Khachatrian
Jonathan May
AAML
254
342
0
01 Jan 2021
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
1,919
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
1,588
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
2,586
0
03 Sep 2019
1