Improving Text Embeddings with Large Language Models
Paper
•
2401.00368
•
Published
•
79
Embedding Papers
-
-
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 14 -
Metadata Might Make Language Models Better
Paper • 2211.10086 • Published • 4 -
DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers
Paper • 2310.03686 • Published • 3 -
German FinBERT: A German Pre-trained Language Model
Paper • 2311.08793 • Published • 3 -
Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens
Paper • 2401.17377 • Published • 34 -
Sequence to Sequence Learning with Neural Networks
Paper • 1409.3215 • Published • 3 -
RoFormer: Enhanced Transformer with Rotary Position Embedding
Paper • 2104.09864 • Published • 10 -
Swivel: Improving Embeddings by Noticing What's Missing
Paper • 1602.02215 • Published • 2 -
Distributed Representations of Words and Phrases and their Compositionality
Paper • 1310.4546 • Published • 3 -
A Neural Conversational Model
Paper • 1506.05869 • Published • 2