True and Fair: Robust and Unbiased Fake News Detection via Interpretable Machine Learning. - Chahat Raj; Anjishnu Mukherjee; Ziwei Zhu 001 (AIES, 2023)

Global Voices, Local Biases: Socio-Cultural Prejudices across Languages. - Anjishnu Mukherjee; Chahat Raj; Ziwei Zhu 001; Antonios Anastasopoulos (EMNLP, 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; et al. (J. Open Source Softw., 2023)

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 001 (AIES (1), 2024)

SALSA: Salience-Based Switching Attack for Adversarial Perturbations in Fake News Detection Models. - Chahat Raj; Anjishnu Mukherjee; Hemant Purohit; Antonios Anastasopoulos; Ziwei Zhu 001 (ECIR (5), 2024)

BiasDora: Exploring Hidden Biased Associations in Vision-Language Models. - Chahat Raj; Anjishnu Mukherjee; Aylin Caliskan; Antonios Anastasopoulos; Ziwei Zhu 001 (EMNLP (Findings), 2024)

Global Gallery: The Fine Art of Painting Culture Portraits through Multilingual Instruction Tuning. - Anjishnu Mukherjee; Aylin Caliskan; Ziwei Zhu 001; Antonios Anastasopoulos (NAACL-HLT, 2024)

Crossroads of Continents: Automated Artifact Extraction for Cultural Adaptation with Large Multimodal Models. - Anjishnu Mukherjee; Ziwei Zhu 001; Antonios Anastasopoulos (WACV, 2025)

Measuring South Asian Biases in Large Language Models. - Mamnuya Rinki; Chahat Raj; Anjishnu Mukherjee; Ziwei Zhu 001 (CoRR, 2025)