Nils Reimers
Creator of the Sentence Transformers library and VP of AI Search at Cohere
Nils Reimers is VP of AI Search at Cohere, where Reimers's team develops search methods built on transformer networks, including dense and sparse embeddings, neural re-ranking, and query generation. Reimers created the Sentence Transformers library and, with Iryna Gurevych, wrote the Sentence-BERT paper (2019), which adapted BERT with siamese and triplet network structures to produce sentence embeddings for semantic similarity search. Reimers's vita lists a Research Scientist role at Hugging Face from 2021 to 2022, building a neural search research team, and earlier research positions at TU Darmstadt, whose UKP Lab first developed Sentence Transformers. Reimers is also a co-author of the BEIR and MTEB benchmarks for retrieval and text embeddings.13245
Work
Sentence TransformersOpen-source code
Reimers's vita describes Reimers as the creator of sentence-transformers. The Apache-2.0 repository's README cites the Sentence-BERT papers by Reimers and Gurevych and says the project was originally developed by the UKP Lab at TU Darmstadt.25
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks (external site: arxiv.org)Published research
First author, with Iryna Gurevych, of the EMNLP 2019 paper that introduced SBERT, a modification of BERT using siamese and triplet networks to derive sentence embeddings.4
Other documented roles
Roles the sources document but that are not confirmed as current.
- Research Scientist, Hugging Face2
- Post-Doctoral Researcher, Technical University of Darmstadt (UKP Lab)2
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