4 citations · 5 across the 16 of their papers we have counts for
6 papers · 1 filter
The Culture Within: Towards Mechanistic Understanding of Cultural Reasoning in LLMs
Samee Arif, Furkan Danisman, Angana Borah +6
Large Language Models (LLMs) increasingly operate across culturally diverse settings, yet existing evaluations largely measure cultural behavior at the output level. We introduce C…
AtlasNLP: A Country-Aware Atlas of Dataset Representation in NLP
Joan Nwatu, Tsedeniya Solomon Amare, Longju Bai +17
Understanding which countries are represented in NLP datasets is essential for identifying gaps, targeting data collection, measuring progress, and informing AI policy. However, ge…
SurakshaEval: An Indic Safety Benchmark for Multilingual LLMs
Debopriyo Banerjee, Kapil Rajesh Kavitha, Angana Borah +11
Existing safety evaluation datasets for large language models (LLMs) predominantly focus on English and Western contexts, often overlooking the linguistic diversity and culturally…
Whose Norms? Disentangling Cultural and Personal Alignment in Large Language Models
Angana Borah, Isabelle Augenstein, Rada Mihalcea
Large language models are increasingly used for social decision-making situations that require balancing cultural norms with personal preferences. For example, a user preferring ho…
The Age of Curiosity Meets the Age of AI: Benchmarking Child Safety in Large Language Models
Samee Arif, Angana Borah, Rada Mihalcea
Children increasingly have access to Large Language Models (LLMs), which may expose them to responses that are developmentally inappropriate or require age-sensitive safety, guidan…
Belief-Sim: Towards Belief-Driven Simulation of Demographic Misinformation Susceptibility
Angana Borah, Zohaib Khan, Rada Mihalcea +1
Misinformation is a growing societal threat, and susceptibility to misinformative claims varies across demographic groups due to differences in underlying beliefs. As Large Languag…