all AI news
C-Pack: Packaged Resources To Advance General Chinese Embedding
April 23, 2024, 4:50 a.m. | Shitao Xiao, Zheng Liu, Peitian Zhang, Niklas Muennighoff
cs.CL updates on arXiv.org arxiv.org
Abstract: We introduce C-Pack, a package of resources that significantly advance the field of general Chinese embeddings. C-Pack includes three critical resources. 1) C-MTEB is a comprehensive benchmark for Chinese text embeddings covering 6 tasks and 35 datasets. 2) C-MTP is a massive text embedding dataset curated from labeled and unlabeled Chinese corpora for training embedding models. 3) C-TEM is a family of embedding models covering multiple sizes. Our models outperform all prior Chinese text embeddings …
advance arxiv chinese cs.ai cs.cl cs.ir embedding general resources type
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Data Engineer (m/f/d)
@ Project A Ventures | Berlin, Germany
Principle Research Scientist
@ Analog Devices | US, MA, Boston