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TweeNLP
API
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Timo Schick
Number of Papers:- 17
Number of Citations:- 0
First ACL Paper:- 2019
Latest ACL Paper:- 2024
Venues:-
NAACL
CoNLL
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COLING
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EMNLP
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Co-Authors:-
Abdullatif Koksal
Akari Asai
Anna Korhonen
Dheeraj Mekala
Edouard Grave
Similar Authors:-
Raquel Marcos
Kyuwoong Hwang
Kwang Hyun Lee
Arielle Koncki
Jun Park
2024
2023
2022
2021
2020
2019
LongForm: Effective Instruction Tuning with Reverse Instructions
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Abdullatif Köksal |
Timo Schick |
Anna Korhonen |
Hinrich Schuetze |
EditEval: An Instruction-Based Benchmark for Text Improvements
CoNLL
Jane Dwivedi-Yu |
Timo Schick |
Zhengbao Jiang |
Maria Lomeli |
Patrick Lewis |
Gautier Izacard |
Edouard Grave |
Sebastian Riedel |
Fabio Petroni |
MEAL: Stable and Active Learning for Few-Shot Prompting
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Abdullatif Köksal |
Timo Schick |
Hinrich Schuetze |
Task-aware Retrieval with Instructions
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Akari Asai |
Timo Schick |
Patrick Lewis |
Xilun Chen |
Gautier Izacard |
Sebastian Riedel |
Hannaneh Hajishirzi |
Wen-tau Yih |
Active Learning Principles for In-Context Learning with Large Language Models
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Katerina Margatina |
Timo Schick |
Nikolaos Aletras |
Jane Dwivedi-Yu |
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor
ACL
Or Honovich |
Thomas Scialom |
Omer Levy |
Timo Schick |
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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