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20242026
most citedBreaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis

2 citations · 2 across the 2 of their papers we have counts for

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cs.CL2026

Lost in the Tower of Babel: The Adverse Effects of Incidental Multilingualism in LLMs

Anjishnu Mukherjee, Chutong Meng, Antonios Anastasopoulos

This paper argues that contemporary multilingual NLP has converged on a fragile and misleading paradigm of incidental multilingualism. Today's LLMs appear multilingual largely beca…

cs.CL2026

MAPLE: Metadata Conditioned LLM Pretraining for Locale-Aware Question Answering

Anjishnu Mukherjee, Ziwei Zhu, Antonios Anastasopoulos

Large language models can memorize competing locale-specific facts yet fail to select among them when the locale changes, defaulting instead to a single globally dominant answer. W…

cs.CL2025

Purdah and Patriarchy: Evaluating and Mitigating South Asian Biases in Open-Ended Multilingual LLM Generations

Mamnuya Rinki, Chahat Raj, Anjishnu Mukherjee +1

Evaluations of Large Language Models (LLMs) often overlook intersectional and culturally specific biases, particularly in underrepresented multilingual regions like South Asia. Thi…

cs.CL20242 cited

Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis

Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan +2

Large Language Models (LLMs) perpetuate social biases, reflecting prejudices in their training data and reinforcing societal stereotypes and inequalities. Our work explores the pot…

cs.CL2024

Crossroads of Continents: Automated Artifact Extraction for Cultural Adaptation with Large Multimodal Models

Anjishnu Mukherjee, Ziwei Zhu, Antonios Anastasopoulos

We present a comprehensive three-phase study to examine (1) the cultural understanding of Large Multimodal Models (LMMs) by introducing DalleStreet, a large-scale dataset generated…

cs.CL2024

BiasDora: Exploring Hidden Biased Associations in Vision-Language Models

Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan +2

Existing works examining Vision-Language Models (VLMs) for social biases predominantly focus on a limited set of documented bias associations, such as gender:profession or race:cri…