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IndicTalk is a large-scale multilingual conversational corpus covering 9 Indic languages with code-mixed dialogues, generated via an automated pipeline with news grounding and persona conditioning, aimed at advancing conversational AI for underrepresented languages.
This paper introduces a persona-based evaluation framework that uses synthetic cognitive profiles to represent diverse human perspectives for pluralistic alignment in generative AI, addressing the limitations of monolithic benchmarks.