MediaEval 2020: An Ensemble-based Multimodal Approach for Coronavirus and 5G Conspiracy Tweet Detection. - Chahat Raj; Mihir Mehta (MediaEval, 2020)

ConvNet frameworks for multi-modal fake news detection. - Chahat Raj; Priyanka Meel (Appl. Intell., 2021)

People Lie, Actions Don't! Modeling Infodemic Proliferation Predictors among Social Media Users. - Chahat Raj; Priyanka Meel (CoRR, 2021)

Is Dynamic Rumor Detection on social media Viable? An Unsupervised Perspective. - Chahat Raj; Priyanka Meel (CoRR, 2021)

A Review of Web Infodemic Analysis and Detection Trends across Multi-modalities using Deep Neural Networks. - Chahat Raj; Priyanka Meel (CoRR, 2021)

Machine Learning Techniques for Differential Diagnosis of Vertigo and Dizziness: A Review. - Varad Kabade; Ritika Hooda; Chahat Raj; Zainab Awan; Allison S. Young; Miriam S. Welgampola; Mukesh Prasad (Sensors, 2021)

The Effectiveness of Social Media Engagement Strategy on Disaster Fundraising. - Vivek Velivela; Chahat Raj; Muhammad Salman Tiwana; Raj Prasanna; Mahendra Samarawickrama; Mukesh Prasad (CoRR, 2022)

ARCNN framework for multimodal infodemic detection. - Chahat Raj; Priyanka Meel (Neural Networks, 2022)

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)

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)

Bitcoin price prediction using LSTM autoencoder regularized by false nearest neighbor loss. - Chahat Raj; Manojit Chattopadhyay (Soft Comput., 2024)

Beneath the Surface: How Large Language Models Reflect Hidden Bias. - Jinhao Pan; Chahat Raj; Ziyu Yao 002; Ziwei Zhu 001 (CoRR, 2025)

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

VIGNETTE: Socially Grounded Bias Evaluation for Vision-Language Models. - Chahat Raj; Bowen Wei; Aylin Caliskan; Antonios Anastasopoulos; Ziwei Zhu 001 (CoRR, 2025)

Talent or Luck? Evaluating Attribution Bias in Large Language Models. - Chahat Raj; Mahika Banerjee; Aylin Caliskan; Antonios Anastasopoulos; Ziwei Zhu 001 (CoRR, 2025)

Discovering Bias Associations through Open-Ended LLM Generations. - Jinhao Pan; Chahat Raj; Ziwei Zhu 001 (CoRR, 2025)