SORE uses multilingual embeddings plus approximate nearest-neighbor search to identify and remove non-core text segments from HTML documents, claiming LLM-comparable quality at much lower cost.
https://cohere.ai
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Semantic Outlier Removal with Embedding Models and LLMs
SORE uses multilingual embeddings plus approximate nearest-neighbor search to identify and remove non-core text segments from HTML documents, claiming LLM-comparable quality at much lower cost.