Timo Schick8 papers on this site (2021–2023)Augmented Language Models: a SurveyGrégoire Mialon, Roberto Dessì, Maria Lomeli, et al.2023Self-Alignment with Instruction BacktranslationXian Li, Ping Yu, Chunting Zhou, et al.2023Toolformer: Language Models Can Teach Themselves to Use ToolsTimo Schick, Jane Dwivedi-Yu, Roberto Dessì, et al.2023Unnatural Instructions: Tuning Language Models with (Almost) No Human LaborOr Honovich, Thomas Scialom, Omer Levy, et al.2023Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language InferenceTimo Schick, Hinrich Schütze2021Generating Datasets with Pretrained Language ModelsTimo Schick, Hinrich Schutze2021It's Not Just Size That Matters: Small Language Models Are Also Few-Shot LearnersTimo Schick, Hinrich Schütze2021Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLPTimo Schick, Sahana Udupa, Hinrich Schutze2021