Statements (20)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:person
|
| gptkbp:award |
gptkb:EMNLP_Best_Paper_Award
|
| gptkbp:degree |
gptkb:PhD
|
| gptkbp:education |
gptkb:LMU_Munich
|
| gptkbp:employer |
gptkb:Meta_AI
|
| gptkbp:field |
gptkb:artificial_intelligence
natural language processing |
| gptkbp:formerPosition |
gptkb:Microsoft_Research
gptkb:LMU_Munich |
| https://www.w3.org/2000/01/rdf-schema#label |
Timo Schick
|
| gptkbp:knownFor |
work on few-shot learning
work on prompt engineering |
| gptkbp:nationality |
gptkb:German
|
| gptkbp:notableWork |
research on language models
research on prompt-based learning |
| gptkbp:occupation |
gptkb:computer_scientist
gptkb:researchers |
| gptkbp:thesisTitle |
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
|
| gptkbp:bfsParent |
gptkb:Technical_Machine
|
| gptkbp:bfsLayer |
4
|