MTEB: Massive Text Embedding Benchmark · HackerPapers discussions

MTEB: Massive Text Embedding Benchmark — HN submission

Tue, 05 Nov 2024 02:10:36 GMT

Text Embedding Benchmark (2022)

2 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

MTEB: Massive Text Embedding Benchmark — mentioned by yorwba

Tue, 12 Mar 2024 09:59:05 GMT

Works for: Bitext mining: Given a sentence in one language, find its translation in a collection of sentences in another language using the cosine similarity of embeddings. Classification: identify the kind of text you're dealing with using logistic regression on the embeddings. Clustering: group similar texts together using k-means clustering on the embeddings. Pair Classification: determine whether two texts are paraphrases of each other by using a binary threshold on the cosine similarity of the embeddings. Reranking: given a query and a list of potential results, sort relevant results…

Paper and discussion history. A mention is not an endorsement.

MTEB: Massive Text Embedding Benchmark — mentioned by caprock

Mon, 20 Feb 2023 23:08:04 GMT

The corresponding paper: MTEB: Massive Text Embedding Benchmark https://arxiv.org/abs/2210.07316 And the repo: https://github.com/embeddings-benchmark/mteb

Paper and discussion history. A mention is not an endorsement.