Anjishnu Mukherjee

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

I build and study AI systems so the world's languages and cultures are represented faithfully.

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

Multilingual benchmarking and evaluationTower of Babel, Global Voices
Cultural adaptationMetadata conditioning, Crossroads, Global Gallery
Social biasKnowBias, South Asian biases, BiasDora, Breaking Bias

I am currently on the 2027 job market for academic and industry research roles, including postdoctoral, tenure-track, and research scientist positions. Please reach out if you think I would be a good fit!

News

Jul 2026: "Lost in the Tower of Babel" was accepted to COLM 2026.
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.

Selected Publications

Selected peer-reviewed and under-review research. Full list on 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.
Lost in the Tower of Babel: The Adverse Effects of Incidental Multilingualism in LLMs COLM '26, 2026. Anjishnu Mukherjee, Chutong Meng, Antonios Anastasopoulos.
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), 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.