Ask & Explore: Grounded Question Answering for Curiosity-Driven Exploration. - Jivat Neet Kaur; Yiding Jiang; Paul Pu Liang (CoRR, 2021)

CoSe-Co: Text Conditioned Generative CommonSense Contextualizer. - Rachit Bansal; Milan Aggarwal; Sumit Bhatia; Jivat Neet Kaur; Balaji Krishnamurthy (NAACL-HLT, 2022)

LM-CORE: Language Models with Contextually Relevant External Knowledge. - Jivat Neet Kaur; Sumit Bhatia; Milan Aggarwal; Rachit Bansal; Balaji Krishnamurthy (NAACL-HLT (Findings), 2022)

Modern Baselines for SPARQL Semantic Parsing. - Debayan Banerjee; Pranav Ajit Nair; Jivat Neet Kaur; Ricardo Usbeck; Chris Biemann (SIGIR, 2022)

Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization. - Jivat Neet Kaur; Emre Kiciman; Amit Sharma 007 (ICLR, 2023)

Machine Learning for Health (ML4H) 2024. - Helen Zhou; Stefan Hegselmann; Elizabeth Healey; Trenton Chang; Caleb Ellington; Michael Leone; Vishwali Mhasawade; Sana Tonekaboni; Winston Chen; Hyewon Jeong; Xiaoxiao Li; Juyeon Heo; et al. (ML4H@NeurIPS, 2024)

Speaking in Terms of Money: Financial Knowledge Acquisition via Speech Data Generation. - Advait Bhat; Nidhi Kulkarni; Safiya Husain; Aditya Yadavalli; Jivat Neet Kaur; Anurag Shukla; Monali Shelar; Vivek Seshadri (ACM J. Comput. Sustain. Soc., 2024)

Conformal Prediction Sets with Improved Conditional Coverage using Trust Scores. - Jivat Neet Kaur; Michael I. Jordan; Ahmed Alaa (CoRR, 2025)

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium. - Amin Adibi; Xu Cao; Zongliang Ji; Jivat Neet Kaur; Winston Chen; Elizabeth Healey; Brighton Nuwagira; Wenqian Ye; Geoffrey Woollard; Maxwell A. Xu; Hejie Cui; Johnny Xi; et al. (CoRR, 2025)