Embarrassingly Simple Performance Prediction for Abductive Natural Language Inference

1 code implementation • NAACL 2022 • Emīls Kadiķis, Vaibhav Srivastav, Roman Klinger

We do this by testing how well the pre-trained models perform on the \alpha{}nli task when just comparing sentence embeddings with cosine similarity to what the performance that is achieved when training a classifier on top of these embeddings.

Common Sense Reasoning Model Selection +3