ModelSentence Transformers / sentence-transformers

SentenceTransformer

A pre-trained model library that maps text to high-dimensional semantic vectors. It is commonly used in NLP tasks such as semantic similarity computation, information retrieval, and text clustering.

Timeline (last 90 days)

Oct 12

Evaluation metrics based on semantic similarity (such as cosine similarity) cannot capture differences at the level of behavioral constraints and have systematic blind spots.

Unverified50%

All Facts (1)

Unverified

Evaluation metrics based on semantic similarity (such as cosine similarity) cannot capture differences at the level of behavioral constraints and have systematic blind spots.

50%

Source Articles

Embeddings from First Principles: How a Kitten Finds a Cat, and Even Crosses Languages to Find GatoOct 13 Your LLM Evaluation Suite Is Lying to You: Building Truly Reliable Adversarial TestsOct 12