Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case. - Kaushik Roy 009; Vedant Khandelwal; Raxit Goswami; Nathan Dolbir; Jinendra Malekar; Amit P. Sheth (AAAI, 2023)

Process Knowledge-infused Learning for Clinician-friendly Explanations. - Kaushik Roy 009; Yuxin Zi; Manas Gaur; Jinendra Malekar; Qi Zhang 020; 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)

Matmul or No Matmul in the Era of 1-bit LLMs. - Jinendra Malekar; Mohammed E. Elbtity; Ramtin Zand (CoRR, 2024)

LLMPi: Optimizing LLMs for High-Throughput on Raspberry Pi. - Mahsa Ardakani; Jinendra Malekar; Ramtin Zand (CVPR Workshops, 2025)

PIM-LLM: A High-Throughput Hybrid PIM Architecture for 1-bit LLMs. - Jinendra Malekar; Peyton Chandarana; Md Hasibul Amin; Mohammed E. Elbtity; Ramtin Zand (CoRR, 2025)