Zicheng Zhou

Rank-Awareness and Angular Constraints: A New Perspective on Learning Sentence Embeddings from NLI Data

Learning high-quality sentence embeddings from Natural Language Inference (NLI) data is often challenged by a critical signal conflict between discrete labels and the continuous spectrum of semantic similarity, as well as information loss from discarded neutral sentence pairs during training. To add