General-purpose, few-shot, robust NLP
We build unified models that perform a wider range of tasks, learn from few-shot examples, and work robustly to out-of-distribution inputs.
- Unified models for known tasks (e.g. QA)
- Few-shot learning
- Instruction-reading models
- Meta-training
- Generalizable and robust models