Flores+

Flores+ is a benchmark dataset that contains low-resource translation tasks used to evaluate the performance of large language models in adapting to new information and niche domain knowledge.

Papers using Flores+ (5)

DFKI-MLT at SemEval-2026 TASK 7: Steering Multilingual Models Towards Cultural Knowledge2026SLoW: Select Low-frequency Words! Automatic Dictionary Selection for Translation on Large Language Models2026Context Training with Active Information Seeking2026An Empirical Study of Many-Shot In-Context Learning for Machine Translation of Low-Resource Languages2026Fine-Tuning LLMs for Low-Resource Dialect Translation: The Case of Lebanese2025