Talking to Models: Stanford U & Microsoft Method Enables Developers to Correct Model Bugs via Natural Language Patches

Rather than relying exclusively on labelled training data, machine learning researchers are increasingly turning to natural language inputs to provide instructions, supervision and inductive biases when training language models. Could natural language also be used to simplify and improve the…