On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat. - Olivier Jeunen; Hitesh Sagtani; Himanshu Doi; Rasul Karimov; Neeti Pokharna; Md. Danish Kalim; Aleksei Ustimenko; Christopher Green; Rishabh Mehrotra; Wenzhe Shi (FIRE, 2023)

Quantifying and Leveraging User Fatigue for Interventions in Recommender Systems. - Hitesh Sagtani; Madan Gopal Jhawar; Akshat Gupta; Rishabh Mehrotra (SIGIR, 2023)

Learning-to-Rank with Nested Feedback. - Hitesh Sagtani; Olivier Jeunen; Aleksei Ustimenko (ECIR (3), 2024)

AI-assisted Coding with Cody: Lessons from Context Retrieval and Evaluation for Code Recommendations. - Jan Hartman; Hitesh Sagtani; Julie Tibshirani; Rishabh Mehrotra (RecSys, 2024)

Ad-load Balancing via Off-policy Learning in a Content Marketplace. - Hitesh Sagtani; Madan Gopal Jhawar; Rishabh Mehrotra; Olivier Jeunen (WSDM, 2024)

AI-assisted Coding with Cody: Lessons from Context Retrieval and Evaluation for Code Recommendations. - Jan Hartman; Rishabh Mehrotra; Hitesh Sagtani; Dominic Cooney; Rafal Gajdulewicz; Beyang Liu; Julie Tibshirani; Quinn Slack (CoRR, 2024)

Improving FIM Code Completions via Context & Curriculum Based Learning. - Hitesh Sagtani; Rishabh Mehrotra; Beyang Liu (WSDM, 2025)