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The North Small Translate model is presented, an open-weight, LLM-based machine translation (MT) model with instruction-following capabilities built on the same foundation as Cohere's Command A Plus, a mixture-of-experts architecture with 25 billion active parameters out of 218 billion total parameters.
Pearmut is introduced, a lightweight yet feature-rich platform that makes end-to-end human evaluation as easy to run as automatic evaluation and enables reliable human evaluation to become a practical, routine component of model development and diagnosis rather than an occasional effort.
This work formalizes multi-model human evaluation as a best-arm identification problem in a multi-armed bandit setup with correlated arms, where pulling an arm corresponds to human-evaluating a model, and proves the optimality of the proposed algorithms and shows that it improves discrimination between top-performing m...
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