Tiny Aya Expedition Drives Multilingual Innovation | Cohere

This post details the outcomes of the Expedition Tiny Aya initiative, showcasing projects that leveraged the Tiny Aya model. Key technical contributions include: the development of a multilingual Math Olympiad benchmark dataset for evaluating structured reasoning in math problem solving; a child-safe, offline AI voice assistant combined with a multilingual benchmark for evaluating child-focused AI systems; investigations into multilingual safety by testing behavior under code-mixed prompts and analyzing cross-lingual emergent misalignment; research into cultural conflicts in multilingual AI by examining model responses to manipulated language, geography, and context; a synthetic data generation pipeline for creating large-scale speech-to-speech translation datasets for under-resourced languages; an on-device multilingual retrieval and question answering system for document understanding; a parameter-efficient approach to connecting visual encoders to Tiny Aya for lightweight multilingual vision-language systems; and a system for on-device multilingual tool use by converting user requests into structured JSON tool calls, including optimized 4-bit quantized model variants.