We present PESCO, a novel contrastive learning framework that substantia...
Moreover, GPT-based zero-shot classification models tend to make indepen...
Universal cross-lingual sentence embeddings map semantically similar
cro...
Due to the subtleness, implicity, and different possible interpretations...
Extreme Multi-label Text Classification (XMTC) has been a tough challeng...
Extreme multi-label text classification (XMTC) is the task of tagging ea...
ALFRED is a recently proposed benchmark that requires a model to complet...
Conventional seq2seq chatbot models attempt only to find sentences with ...
Learning continuous representations from unlabeled textual data has been...
Pre-training Transformer from large-scale raw texts and fine-tuning on t...
Auto-encoders compress input data into a latent-space representation and...
Conventional seq2seq chatbot models only try to find the sentences with ...