NativQA Framework: Enabling LLMs and VLMs with Native, Local, and Everyday Knowledge

1. 1Systematize and extend the NativQA framework to support multimodality
2. 2Add image, audio, and video support to enable scalable construction of culturally and regionally relevant resources
3. 3Utilize the framework to develop LLMs and VLMs that incorporate native, local, and everyday knowledge
4. 4Evaluate the performance of the developed models in diverse languages and underrepresented regions

AI researchers and engineers on a team can benefit from this framework as it allows for the development of more culturally sensitive and accurate language models, while product managers can utilize this to improve the performance of their AI-powered products in diverse languages and regions

💡 The NativQA framework can help address cultural bias and fairness concerns in LLMs by incorporating multilingual, local, and cultural contexts

💡 NativQA framework tackles cultural bias in LLMs with native, local, and everyday knowledge #AI #LLMs