Timo Schick

Toolformer: Language Models Can Teach Themselves to Use Tools

Timo Schick, Jane Dwivedi-Yu, Roberto Dessì et al. · arXiv (Cornell University) · 2023 · 369 citations · Full text

Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP

Timo Schick, Sahana Udupa, Hinrich Schütze · Transactions of the Association for Computational Linguistics · 2021 · 203 citations · Full text

Engineering, Machine Learning, Psycholinguistics +20

Atlas: Few-shot Learning with Retrieval Augmented Language Models

Gautier Izacard, Patrick Lewis, María Lomelí et al. · arXiv (Cornell University) · 2022 · 195 citations · Full text

Natural Language Processing, Few-shot Learning, Large Language Models +14

Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification

Timo Schick, Helmut Schmid, Hinrich Schütze · 2020 · 154 citations · Full text

Augmented Language Models: a Survey

Grégoire Mialon, Roberto Dessì, María Lomelí et al. · arXiv (Cornell University) · 2023 · 139 citations · Full text

Llm Fine-tuning, Engineering, Multilingual Pretraining +18