Anjishnu Mukherjee

According to our database, Anjishnu Mukherjee authored at least 12 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

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

Anjishnu Mukherjee, Chutong Meng, Antonios Anastasopoulos

CoRR, May, 2026

KnowBias: Mitigating Social Bias in LLMs via Know-Bias Neuron Enhancement.

Jinhao Pan, Chahat Raj, Anjishnu Mukherjee, Sina Mansouri, Bowen Wei, Shloka Yada, Ziwei Zhu

CoRR, January, 2026

Metadata Conditioned Large Language Models for Localization.

Anjishnu Mukherjee, Ziwei Zhu, Antonios Anastasopoulos

CoRR, January, 2026

2025

Measuring South Asian Biases in Large Language Models.

Mamnuya Rinki, Chahat Raj, Anjishnu Mukherjee, Ziwei Zhu

CoRR, May, 2025

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

Anjishnu Mukherjee, Ziwei Zhu, Antonios Anastasopoulos

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

Global Gallery: The Fine Art of Painting Culture Portraits through Multilingual Instruction Tuning.

Anjishnu Mukherjee, Aylin Caliskan, Ziwei Zhu, Antonios Anastasopoulos

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

BiasDora: Exploring Hidden Biased Associations in Vision-Language Models.

Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

SALSA: Salience-Based Switching Attack for Adversarial Perturbations in Fake News Detection Models.

Chahat Raj, Anjishnu Mukherjee, Hemant Purohit, Antonios Anastasopoulos, Ziwei Zhu

Proceedings of the Advances in Information Retrieval, 2024

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

Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2023

mlpack 4: a fast, header-only C++ machine learning library.

Ryan R. Curtin, Marcus Edel, Omar Shrit, Shubham Agrawal, Suryoday Basak, James Joseph Balamuta, Ryan Birmingham, Kartik Dutt, Dirk Eddelbuettel, Rishabh Garg, Shikhar Jaiswal, Aakash Kaushik, Sangyeon Kim, Anjishnu Mukherjee, Nanubala Gnana Sai, Nippun Sharma, Yashwant Singh Parihar, Roshan Swain, Conrad Sanderson

J. Open Source Softw., February, 2023

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

Anjishnu Mukherjee, Chahat Raj, Ziwei Zhu, Antonios Anastasopoulos

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

True and Fair: Robust and Unbiased Fake News Detection via Interpretable Machine Learning.

Chahat Raj, Anjishnu Mukherjee, Ziwei Zhu

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023