Hao (Peter) Yu

AfriqueLLM is an open suite of language models adapted to 20 African languages through continued pre-training on 26B tokens. The release includes model weights, data recipes, training configurations, and evaluation commands; systematic experiments across five base models show that task-aligned data composition is the primary driver of downstream gains.

We introduce Auepora, a unified process for evaluating retrieval and generation in RAG systems. The survey compares metrics, datasets, and benchmarks across relevance, accuracy, and faithfulness.