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20212026
most citedBreaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis

2 citations · 5 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CL2026

Debias It Yourself: Teaching LLMs Cognitive Bias Mitigation Interventions

Chahat Raj, Sina Mansouri, Aylin Caliskan +2

Bias has long been studied in social psychology and cognitive science, where decades of research have produced a body of validated interventions that reduce stereotypical thinking…

cs.AI2026

Knowing Bias, Doing Better: Mitigating Social Bias in LLMs via Know-Bias Neuron Enhancement

Jinhao Pan, Chahat Raj, Anjishnu Mukherjee +4

Large language models (LLMs) exhibit social biases that reinforce harmful stereotypes, limiting their safe deployment. Most existing debiasing methods adopt a suppressive paradigm…

cs.CL2025★ 1 cited

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.CL2024★ 2 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

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…

cs.CL2023

Global Voices, Local Biases: Socio-Cultural Prejudices across Languages

Anjishnu Mukherjee, Chahat Raj, Ziwei Zhu +1

Human biases are ubiquitous but not uniform: disparities exist across linguistic, cultural, and societal borders. As large amounts of recent literature suggest, language models (LM…

cs.SI2022★ 2 cited

The Effectiveness of Social Media Engagement Strategy on Disaster Fundraising

Vivek Velivela, Chahat Raj, Muhammad Salman Tiwana +3

Social media has been a powerful tool and an integral part of communication, especially during natural disasters. Social media platforms help nonprofits in effective disaster manag…

cs.CL2021

A Review of Web Infodemic Analysis and Detection Trends across Multi-modalities using Deep Neural Networks

Chahat Raj, Priyanka Meel

Fake news and misinformation are a matter of concern for people around the globe. Users of the internet and social media sites encounter content with false information much frequen…

cs.SI2021

Is Dynamic Rumor Detection on social media Viable? An Unsupervised Perspective

Chahat Raj, Priyanka Meel

With the growing popularity and ease of access to the internet, the problem of online rumors is escalating. People are relying on social media to gain information readily but fall…

cs.SI2021

People Lie, Actions Don't! Modeling Infodemic Proliferation Predictors among Social Media Users

Chahat Raj, Priyanka Meel

Social media is interactive, and interaction brings misinformation. With the growing amount of user-generated data, fake news on online platforms has become much frequent since the…