5 results for “topic:commonsense-question-answering”
Video captioning baseline models on Video2Commonsense Dataset.
JGLUE: Japanese General Language Understanding Evaluation for huggingface datasets
The implementation of DeBERTaV3-based commonsense question answering on CommonsenseQA.
Anti-faCtual COmmonsense Reasoning Disentanglement
The project trains google T5 on ANLG and COS-E datasets and use these pretrained models to generates explanations for ReColr contexts which along with the context and question are passed to ALBERT for prediction.