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 directions

My research studies how language and multimodal systems represent cultures and the people who constitute them. I am especially interested in:

Measuring socio-cultural bias across languages and communities: building evaluations for culturally specific harms in multilingual and multimodal systems (Global Voices, South Asian biases, BiasDora).
Localizing language models to regional context: studying how data, metadata, and language-specific tuning shape geographically grounded behavior (Metadata conditioning, Global Gallery).
Adapting multimodal systems across cultures: identifying cultural artifacts and editing model outputs so generated content better fits local context (Crossroads).

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

News

May 2026: Will be joining my third Applied Science internship at Amazon.
May 2026: Jinhao's paper on "Knowing Bias, Doing Better" was accepted to ICML 2026 as a poster.
May 2026: Rinki's paper on measuring South Asian biases was accepted to TrustNLP at ACL 2026.
Apr 2026: Passed my Ph.D. proposal defense and advanced to candidacy.
Dec 2025: Completed my M.S. in Computer Science with an Outstanding Academic Achievement award.

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

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Knowing Bias, Doing Better: Mitigating Social Bias in LLMs via Know-Bias Neuron Enhancement ICML '26 (Poster), 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 (Poster), 2025. Mamnuya Rinki, Chahat Raj, Anjishnu Mukherjee, Ziwei Zhu.
Crossroads of Continents: Automated Artifact Extraction for Cultural Adaptation with Large Multimodal Models WACV '25 (Oral and Poster), 2025. Anjishnu Mukherjee, Ziwei Zhu, Antonios Anastasopoulos.
BiasDora: Exploring Hidden Biased Associations in Vision-Language Models EMNLP Findings '24 (Poster), 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 (Oral), 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 (Poster), 2024. Anjishnu Mukherjee, Aylin Caliskan, Ziwei Zhu, Antonios Anastasopoulos.
Global Voices, Local Biases: Socio-cultural Prejudices across Languages EMNLP '23 (Poster), 2023. Anjishnu Mukherjee*, Chahat Raj*, Ziwei Zhu, Antonios Anastasopoulos.