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Angana Borah

University of Michigan, Ann Arbor

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The Age of Curiosity Meets the Age of AI: Benchmarking Child Safety in Large Language Models

KIDBench, a benchmark for evaluating child-facing LLM safety for ages 7-11 using a LLM-as-a-Judge rubric grounded in developmental-psychology, is introduced and KIDGuardLlama, a child-safety evaluator, and KIDLlama, a child-safe response model are introduced.

Samee Arif, Angana Borah, Rada Mihalcea · 2 citations
#artificial intelligence Preprint Aug 2026

AtlasNLP: A Country-Aware Atlas of Dataset Representation in NLP

AtlasNLP is introduced, a country-aware atlas of over 13,000 NLP dataset records across normalized NLP task categories, tracking both the populations represented and where datasets are produced, showing that dataset coverage is highly uneven across countries and tasks and language coverage does not imply geographic rep...

Joan Nwatu, Tsedeniya Solomon Amare, Longju Bai et al. · 0 citations
Preprint Aug 2026

SurakshaEval: An Indic Safety Benchmark for Multilingual LLMs

SurakshaEval is introduced, a novel safety benchmark composed of human-written prompts spanning real-world scenarios, explicitly designed for ten major Indian languages - Assamese, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Punjabi, Tamil, and Telugu - along with English.

Debopriyo Banerjee, K. R. Kavitha, Angana Borah et al. · 0 citations

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