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CLUES: Few-Shot Learning Evaluation in Natural Language Understanding

CLUES: Few-Shot Learning Evaluation in Natural Language Understanding

4 November 2021
Subhabrata Mukherjee
Xiaodong Liu
Guoqing Zheng
Saghar Hosseini
Hao Cheng
Greg Yang
Christopher Meek
Ahmed Hassan Awadallah
Jianfeng Gao
    ELM
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Papers citing "CLUES: Few-Shot Learning Evaluation in Natural Language Understanding"

12 / 12 papers shown
Title
MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning
MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning
Shu Yang
Muhammad Asif Ali
Cheng-Long Wang
Lijie Hu
Di Wang
CLL
MoE
37
38
0
17 Feb 2024
CORE: A Few-Shot Company Relation Classification Dataset for Robust
  Domain Adaptation
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation
Philipp Borchert
Jochen De Weerdt
Kristof Coussement
Arno De Caigny
Marie-Francine Moens
26
1
0
18 Oct 2023
Adversarial Robustness of Prompt-based Few-Shot Learning for Natural
  Language Understanding
Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding
Venkata Prabhakara Sarath Nookala
Gaurav Verma
Subhabrata Mukherjee
Srijan Kumar
ELM
60
6
0
19 Jun 2023
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as
  Artificial Adversaries?
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?
Saadia Gabriel
Hamid Palangi
Yejin Choi
AAML
39
1
0
08 Nov 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
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue
Alon Albalak
Yi-Lin Tuan
Pegah Jandaghi
Connor Pryor
Luke Yoffe
Deepak Ramachandran
Lise Getoor
Jay Pujara
William Yang Wang
18
14
0
12 May 2022
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural
  Language Understanding
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding
Yanan Zheng
Jing Zhou
Yujie Qian
Ming Ding
Chonghua Liao
Jian Li
Ruslan Salakhutdinov
Jie Tang
Sebastian Ruder
Zhilin Yang
ELM
212
29
0
27 Sep 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in
  NLP
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Qinyuan Ye
Bill Yuchen Lin
Xiang Ren
214
180
0
18 Apr 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
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
243
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
1,589
0
21 Jan 2020
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
6,959
0
20 Apr 2018
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