human-llm-collaboration

This paper proposes the RP-RCAF prompting strategy to generate culturally sensitive mental health advice in low-resource languages, and introduces the G-REFS evaluation framework, showing significant improvement over conventional prompting across multiple LLMs.

Introduces a cost-efficient human-LLM collaborative annotation framework to construct EspanStereo, a Spanish-language stereotype dataset covering multiple Spanish-speaking countries, enabling more culturally grounded bias evaluation in LLMs.