Towards Vision-Language Mechanistic Interpretability: A Causal Tracing Tool for BLIP. - Vedant Palit; Rohan Pandey; Aryaman Arora; Paul Pu Liang (ICCV (Workshops), 2023)

Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust. - Kaushik Roy 009; Tarun Garg; Vedant Palit; Yuxin Zi; Vignesh Narayanan; Amit P. Sheth (CoRR, 2023)

WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions. - Seyedali Mohammadi; Edward Raff; Jinendra Malekar; Vedant Palit; Francis Ferraro; Manas Gaur (CoRR, 2024)

What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Noise-free Text-Image Corruption and Evaluation. - Michal Golovanevsky; William Rudman; Vedant Palit; Ritambhara Singh; Carsten Eickhoff (CoRR, 2024)

Forgotten Polygons: Multimodal Large Language Models are Shape-Blind. - William Rudman; Michal Golovanevsky; Amir Bar; Vedant Palit; Yann LeCun; Carsten Eickhoff; Ritambhara Singh (ACL (Findings), 2025)

What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation. - Michal Golovanevsky; William Rudman; Vedant Palit; Carsten Eickhoff; Ritambhara Singh (NAACL (Long Papers), 2025)

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments - The Depression and Anxiety Case. - Kaushik Roy 009; Harshul Surana; Darssan Eswaramoorthi; Yuxin Zi; Vedant Palit; Ritvik Garimella; Amit P. Sheth (CoRR, 2025)

Forgotten Polygons: Multimodal Large Language Models are Shape-Blind. - William Rudman; Michal Golovanesky; Amir Bar; Vedant Palit; Yann LeCun; Carsten Eickhoff; Ritambhara Singh (CoRR, 2025)