Identifying the Relative Importance of Customer Issues on Product Ratings through Machine Learning. - Himanshu Tiwari; Shameed Sait; Md Imbesat Hassan Rizvi; Niranjan Damera-Venkata (DocEng, 2018)

MIMICause : Defining, identifying and predicting types of causal relationships between biomedical concepts from clinical notes. - Vivek Khetan; Md Imbesat Hassan Rizvi; Jessica Huber; Paige Bartusiak; Bogdan Sacaleanu; Andrew E. Fano (CoRR, 2021)

Identifying causal associations in tweets using deep learning: Use case on diabetes-related tweets from 2017-2021. - Adrian Ahne; Vivek Khetan; Xavier Tannier; Md Imbesat Hassan Rizvi; Thomas Czernichow; Francisco Orchard; Charline Bour; Andrew E. Fano; Guy Fagherazzi (CoRR, 2021)

MIMICause: Representation and automatic extraction of causal relation types from clinical notes. - Vivek Khetan; Md Imbesat Hassan Rizvi; Jessica Huber; Paige Bartusiak; Bogdan Sacaleanu; Andrew E. Fano (ACL (Findings), 2022)

SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models. - Md Imbesat Hassan Rizvi; Xiaodan Zhu; Iryna Gurevych (ACL (1), 2024)

SPARE: Single-Pass Annotation with Reference-Guided Evaluation for Automatic Process Supervision and Reward Modelling. - Md Imbesat Hassan Rizvi; Xiaodan Zhu; Iryna Gurevych (CoRR, 2025)