Anjishnu Mukherjee

Pronunciation: /ʌnˈdʒɪʃnuː/ (un-JISH-noo)

I am a fourth-year Ph.D. candidate in Computer Science at George Mason University, advised by Antonis Anastasopoulos and Ziwei Zhu in the GMU NLP Lab.

Research thesis

I develop methods for measuring, modeling, and evaluating cultural representations in language and multimodal systems, so AI systems can respond appropriately to local context. My work connects cultural grounding with social bias by studying where models encode uneven assumptions across languages, regions, and communities.

I am currently on the 2027 job market for academic roles, including postdoctoral and tenure-track positions.

Selected Publications

Selected peer-reviewed and preprint research. For the full list, see Google Scholar.

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KnowBias: Mitigating Social Bias in LLMs via Know-Bias Neuron Enhancement ArXiv, 2026. Jinhao Pan, Chahat Raj, Anjishnu Mukherjee, Sina Mansouri, Bowen Wei, Shloka Yada, Ziwei Zhu.
Metadata Conditioned Large Language Models for Localization ArXiv, 2026. Anjishnu Mukherjee, Ziwei Zhu, Antonios Anastasopoulos.
Measuring South Asian Biases in Large Language Models TrustNLP @ ACL 2026, 2025. Mamnuya Rinki, Chahat Raj, Anjishnu Mukherjee, Ziwei Zhu.
Crossroads of Continents: Automated Artifact Extraction for Cultural Adaptation with Large Multimodal Models WACV '25, 2025. Anjishnu Mukherjee, Ziwei Zhu, Antonios Anastasopoulos.
BiasDora: Exploring Hidden Biased Associations in Vision-Language Models EMNLP Findings '24, 2024. Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu.
Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis AIES '24, 2024. Chahat Raj*, Anjishnu Mukherjee*, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu.
Global Gallery: The Fine Art of Painting Culture Portraits through Multilingual Instruction Tuning NAACL '24, 2024. Anjishnu Mukherjee, Aylin Caliskan, Ziwei Zhu, Antonios Anastasopoulos.
SALSA: Salience-Based Switching Attack for Adversarial Perturbations in Fake News Detection Models ECIR '24, 2024. Chahat Raj*, Anjishnu Mukherjee*, Hemant Purohit, Antonios Anastasopoulos, Ziwei Zhu.
Global Voices, Local Biases: Socio-cultural Prejudices across Languages EMNLP '23, 2023. Anjishnu Mukherjee*, Chahat Raj*, Ziwei Zhu, Antonios Anastasopoulos.
True and Fair: Robust and Unbiased Fake News Detection via Interpretable Machine Learning AIES '23, 2023. Chahat Raj, Anjishnu Mukherjee, Ziwei Zhu.