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TweeNLP
API
Team
Timo Schick
Number of Papers:- 11
Number of Citations:- 0
First ACL Paper:- 2019
Latest ACL Paper:- 2022
Venues:-
NAACL
TACL
EMNLP
ACL
EACL
COLING
Co-Authors:-
Dheeraj Mekala
Helmut Schmid
Hinrich Schutze
Jingbo Shang
Lutfi Kerem Senel
Similar Authors:-
Raquel Marcos
Kyuwoong Hwang
Kwang Hyun Lee
Arielle Koncki
Jun Park
2022
2021
2020
2019
CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition Alignment
ACL
Lütfi Kerem Senel |
Timo Schick |
Hinrich Schuetze |
True Few-Shot Learning with Prompts—A Real-World Perspective
TACL
Timo Schick |
Hinrich Schütze |
Leveraging QA Datasets to Improve Generative Data Augmentation
EMNLP
Dheeraj Mekala |
Tu Vu |
Timo Schick |
Jingbo Shang |
Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference
EACL
Timo Schick |
Hinrich Schütze |
It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
NAACL
Timo Schick |
Hinrich Schütze |
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
TACL
Timo Schick |
Sahana Udupa |
Hinrich Schütze |
Few-Shot Text Generation with Natural Language Instructions
EMNLP
Timo Schick |
Hinrich Schütze |
Generating Datasets with Pretrained Language Models
EMNLP
Timo Schick |
Hinrich Schütze |
BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance
ACL
Timo Schick |
Hinrich Schütze |
Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification
COLING
Timo Schick |
Helmut Schmid |
Hinrich Schütze |
Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts
NAACL
Timo Schick |
Hinrich Schütze |
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