1 citations · 1 across the 3 of their papers we have counts for
3 papers
Maintaining MTEB: Towards Long Term Usability and Reproducibility of Embedding Benchmarks
Isaac Chung, Imene Kerboua, Marton Kardos +2
The Massive Text Embedding Benchmark (MTEB) has become a standard evaluation platform for text embedding models. While previous work has established the core benchmark methodology,…
topicwizard -- a Modern, Model-agnostic Framework for Topic Model Visualization and Interpretation
Márton Kardos, Kenneth C. Enevoldsen, Kristoffer Laigaard Nielbo
Topic models are statistical tools that allow their users to gain qualitative and quantitative insights into the contents of textual corpora without the need for close reading. The…
The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding
Kenneth Enevoldsen, Márton Kardos, Niklas Muennighoff +1
The evaluation of English text embeddings has transitioned from evaluating a handful of datasets to broad coverage across many tasks through benchmarks such as MTEB. However, this…