Nils Reimers5 papers on this site (2017–2022)MTEB: Massive Text Embedding BenchmarkNiklas Muennighoff, Nouamane Tazi, Loïc Magne, et al.2022AdapterDrop: On the Efficiency of Adapters in TransformersAndreas Rücklé, Gregor Geigle, Max Glockner, et al.2021BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval ModelsNandan Thakur, Nils Reimers, Andreas Rücklé, et al.2021Making Monolingual Sentence Embeddings Multilingual using Knowledge DistillationNils Reimers, Iryna Gurevych2020Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence TaggingNils Reimers, Iryna Gurevych2017