Trio: A System for Data, Uncertainty, and Lineage. - Parag Agrawal; Omar Benjelloun; Anish Das Sarma; Chris Hayworth; Shubha U. Nabar; Tomoe Sugihara; Jennifer Widom (VLDB, 2006)

Trio-One: Layering Uncertainty and Lineage on a Conventional DBMS (Demo). - Michi Mutsuzaki; Martin Theobald; Ander de Keijzer; Jennifer Widom; Parag Agrawal; Omar Benjelloun; Anish Das Sarma; Raghotham Murthy; Tomoe Sugihara (CIDR, 2007)

Towards Special-Purpose Indexes and Statistics for Uncertain Data. - Anish Das Sarma; Parag Agrawal; Shubha U. Nabar; Jennifer Widom (QDB/MUD, 2008)

Scheduling shared scans of large data files. - Parag Agrawal; Daniel Kifer; Christopher Olston (Proc. VLDB Endow., 2008)

Confidence-Aware Join Algorithms. - Parag Agrawal; Jennifer Widom (ICDE, 2009)

Continuous Uncertainty in Trio. - Parag Agrawal; Jennifer Widom (MUD, 2009)

Asynchronous view maintenance for VLSD databases. - Parag Agrawal; Adam Silberstein; Brian F. Cooper; Utkarsh Srivastava; Raghu Ramakrishnan 001 (SIGMOD Conference, 2009)

The case for RAMClouds: scalable high-performance storage entirely in DRAM. - John K. Ousterhout; Parag Agrawal; David Erickson; Christos Kozyrakis; Jacob Leverich; David Mazières; Subhasish Mitra; Aravind Narayanan; Guru M. Parulkar; Mendel Rosenblum; Stephen M. Rumble; Eric Stratmann; et al. (ACM SIGOPS Oper. Syst. Rev., 2009)

Generalized Uncertain Databases: First Steps. - Parag Agrawal; Jennifer Widom (MUD, 2010)

On indexing error-tolerant set containment. - Parag Agrawal; Arvind Arasu; Raghav Kaushik (SIGMOD Conference, 2010)

Foundations of Uncertain-Data Integration. - Parag Agrawal; Anish Das Sarma; Jeffrey D. Ullman; Jennifer Widom (Proc. VLDB Endow., 2010)

The case for RAMCloud. - John K. Ousterhout; Parag Agrawal; David Erickson; Christos Kozyrakis; Jacob Leverich; David Mazières; Subhasish Mitra; Aravind Narayanan; Diego Ongaro; Guru M. Parulkar; Mendel Rosenblum; Stephen M. Rumble; et al. (Commun. ACM, 2011)

Incorporating uncertainty in data management and integration. - Parag Agrawal (2012)

Interpretable and Informative Explanations of Outcomes. - Kareem El Gebaly; Parag Agrawal; Lukasz Golab; Flip Korn; Divesh Srivastava (Proc. VLDB Endow., 2014)

Mining Unusual Search Behavior Related to Physical Events. - Abhay Prakash; Parag Agrawal; Kedhar Nath Narahari; Puneet Agrawal (WWW (Companion Volume), 2017)

A Trustworthy, Responsible and Interpretable System to Handle Chit Chat in Conversational Bots. - Parag Agrawal; Anshuman Suri; Tulasi Menon (CoRR, 2018)

Mining Strengths and Weaknesses of Cricket Players Using Short Text Commentary. - Swarup Ranjan Behera; Parag Agrawal; Amit Awekar; Vijaya Saradhi Vedula (ICMLA, 2019)

NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep. - Parag Agrawal; Anshuman Suri (SemEval@NAACL-HLT, 2019)

QnAMaker: Data to Bot in 2 Minutes. - Parag Agrawal; Tulasi Menon; Aya Kamel; Michel Naim; Chaikesh Chouragade; Gurvinder Singh; Rohan Kulkarni; Anshuman Suri; Sahithi Katakam; Vineet Pratik; Prakul Bansal; Simerpreet Kaur; et al. (WWW (Companion Volume), 2020)

Prediction Diagnostics - Addressing data veracity in predicting batch processes. - Parag Agrawal; Priyadarshi; Vikrant Shimpi; Neha Behl; Deepa Vaidyanathan; Maitreya Natu (ICDM (Workshops), 2021)

Simplifying Process Navigations - Divide and Rule way. - Sai Charan Emmadi; Satya Samudrala; Parag Agrawal; Maitreya Natu (ICDM (Workshops), 2022)

Theory meets practice approach for Event Correlations. - Sai Charan Emmadi; Parag Agrawal; Satya Samudrala; Vikrant Shimpi; Maitreya Natu (IEEE Big Data, 2023)

Optimizing for Member Value in an Edge Building Marketplace. - Ayan Acharya; Siyuan Gao; Ankan Saha; Borja Ocejo; Kinjal Basu 001; Sathiya Keerthi Selvaraj; Rahul Mazumder; Aman Gupta; Parag Agrawal (CIKM, 2023)

Promoting Inactive Members in Edge-Building Marketplace. - Ayan Acharya; Siyuan Gao; Borja Ocejo; Kinjal Basu 001; Ankan Saha; Sathiya Keerthi Selvaraj; Rahul Mazumder; Parag Agrawal; Aman Gupta (WWW (Companion Volume), 2023)

Socio-Culturally Aware Evaluation Framework for LLM-Based Content Moderation. - Shanu Kumar; Gauri Kholkar; Saish Mendke; Anubhav Sadana; Parag Agrawal; Sandipan Dandapat (CoRR, 2024)

SCULPT: Systematic Tuning of Long Prompts. - Shanu Kumar; Akhila Yesantarao Venkata; Shubhanshu Khandelwal; Bishal Santra; Parag Agrawal; Manish Gupta 001 (ACL (1), 2025)

Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy Selection. - Shanu Kumar; Saish Mendke; Karody Lubna Abdul Rahman; Santosh Kurasa; Parag Agrawal; Sandipan Dandapat (COLING, 2025)

Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models. - Somnath Banerjee 002; Sayan Layek; Hari Shrawgi; Rajarshi Mandal; Avik Halder; Shanu Kumar; Sagnik Basu; Parag Agrawal; Rima Hazra; Animesh Mukherjee 001 (NAACL (Long Papers), 2025)

LLM Safety for Children. - Prasanjit Rath; Hari Shrawgi; Parag Agrawal; Sandipan Dandapat (NAACL (Industry Track), 2025)

SAGE: A Generic Framework for LLM Safety Evaluation. - Madhur Jindal; Hari Shrawgi; Parag Agrawal; Sandipan Dandapat (CoRR, 2025)

Towards Safer Pretraining: Analyzing and Filtering Harmful Content in Webscale datasets for Responsible LLMs. - Sai Krishna Mendu; Harish Yenala; Aditi Gulati; Shanu Kumar; Parag Agrawal (CoRR, 2025)

Attributional Safety Failures in Large Language Models under Code-Mixed Perturbations. - Somnath Banerjee 002; Pratyush Chatterjee; Shanu Kumar; Sayan Layek; Parag Agrawal; Rima Hazra; Animesh Mukherjee 001 (CoRR, 2025)