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Schick, Timo

  1. Toolformer: Language Models Can Teach Themselves to Use Tools
    2023/02/09 by Timo Schick, Schick, Timo, Jane Dwivedi-Yu +15 · 7 voices · 678 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  2. It's Not Just Size That Matters: Small Language Models Are Also Few-Shot\n Learners
    2020/09/15 by Timo Schick, Schick, Timo, Hinrich Schütze +1 · 3 voices · 22 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text Readability and Simplification
  3. Atlas: Few-shot Learning with Retrieval Augmented Language Models
    2022/08/05 by Gautier Izacard, Izacard, Gautier, Patrick Lewis +17 · 108 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
  4. BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
    2022/11/09 by Workshop, BigScience, :, Scao, Teven Le +391 · 103 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  5. Exploiting Cloze Questions for Few Shot Text Classification and Natural\n Language Inference
    2020/01/21 by Timo Schick, Schick, Timo, Hinrich Schütze +1 · 26 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text Readability and Simplification
  6. Augmented Language Models: a Survey
    2023/02/15 by Grégoire Mialon, Mialon, Grégoire, Roberto Dessì +23 · 31 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  7. Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
    2021/02/28 by Timo Schick, Sahana Udupa, Schick, Timo +3 · 22 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Natural Language Processing Techniques #Topic Modeling
  8. Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor
    2022/12/19 by Or Honovich, Honovich, Or, Thomas Scialom +5 · 23 citations
    Computer Science · #Topic Modeling #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning
  9. Active Learning Principles for In-Context Learning with Large Language Models
    2023/05/23 by Katerina Margatina, Margatina, Katerina, Timo Schick +6 · 1 voice · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning and Algorithms #Machine Learning and Data Classification #Topic Modeling #cs.AI #cs.CL
  10. Generating Datasets with Pretrained Language Models
    2021/04/15 by Schick, Timo, Schütze, Hinrich · 8 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  11. Self-Alignment with Instruction Backtranslation
    2023/08/11 by Xian Li, Li, Xian, Ping Yu +12 · 11 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
  12. Task-aware Retrieval with Instructions
    2022/11/16 by Akari Asai, Timo Schick, Asai, Akari +13 · 8 citations
    Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Topic Modeling
  13. LongForm: Effective Instruction Tuning with Reverse Instructions
    2023/04/17 by Köksal, Abdullatif, Schick, Timo, Korhonen, Anna +1 · 4 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. PEER: A Collaborative Language Model
    2022/08/24 by Timo Schick, Jane Dwivedi-Yu, Schick, Timo +17 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Software Engineering Research #Topic Modeling
  15. Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification
    2020/10/26 by Schick, Timo, Schmid, Helmut, Schütze, Hinrich · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  16. True Few-Shot Learning with Prompts -- A Real-World Perspective
    2021/11/26 by Timo Schick, Schick, Timo, Hinrich Schütze +1 · 2 citations
    Computer Science · #Topic Modeling #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning
  17. Rare Words: A Major Problem for Contextualized Embeddings And How to Fix\n it by Attentive Mimicking
    2019/04/14 by Timo Schick, Schick, Timo, Hinrich Schütze +1 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  18. FairPair: A Robust Evaluation of Biases in Language Models through Paired Perturbations
    2024/04/09 by Dwivedi-Yu, Jane, Dwivedi, Raaz, Schick, Timo · 2 citations
    #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG)