3 papers
cs.CL2025
Mathematics Isn't Culture-Free: Probing Cultural Gaps via Entity and Scenario Perturbations
Aditya Tomar, Nihar Ranjan Sahoo, Ashish Mittal +2
Although mathematics is often considered culturally neutral, the way mathematical problems are presented can carry implicit cultural context. Existing benchmarks like GSM8K are pre…
cs.CL2025
BharatBBQ: A Multilingual Bias Benchmark for Question Answering in the Indian Context
Aditya Tomar, Nihar Ranjan Sahoo, Pushpak Bhattacharyya
Evaluating social biases in language models (LMs) is crucial for ensuring fairness and minimizing the reinforcement of harmful stereotypes in AI systems. Existing benchmarks, such…
cs.CL2025
Stereotype Detection as a Catalyst for Enhanced Bias Detection: A Multi-Task Learning Approach
Aditya Tomar, Rudra Murthy, Pushpak Bhattacharyya
Bias and stereotypes in language models can cause harm, especially in sensitive areas like content moderation and decision-making. This paper addresses bias and stereotype detectio…