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Parag Agrawal
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2020 – today
- 2024
- [i5]Somnath Banerjee, Sayan Layek, Hari Shrawgi, Rajarshi Mandal, Avik Halder, Shanu Kumar, Sagnik Basu, Parag Agrawal, Rima Hazra, Animesh Mukherjee:
Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models. CoRR abs/2410.12880 (2024) - [i4]Shanu Kumar, Akhila Yesantarao Venkata, Shubhanshu Khandelwal, Bishal Santra, Parag Agrawal, Manish Gupta:
SCULPT: Systematic Tuning of Long Prompts. CoRR abs/2410.20788 (2024) - 2023
- [c17]Sai Charan Emmadi, Parag Agrawal, Satya Samudrala, Vikrant Shimpi, Maitreya Natu:
Theory meets practice approach for Event Correlations. IEEE Big Data 2023: 1918-1921 - [c16]Ayan Acharya
, Siyuan Gao
Optimizing for Member Value in an Edge Building Marketplace. CIKM 2023: 5-14 - [c15]Ayan Acharya
Promoting Inactive Members in Edge-Building Marketplace. WWW (Companion Volume) 2023: 945-949 - 2022
- [c14]Sai Charan Emmadi, Satya Samudrala, Parag Agrawal, Maitreya Natu:
Simplifying Process Navigations - Divide and Rule way. ICDM (Workshops) 2022: 1-7 - 2021
- [c13]Parag Agrawal, Priyadarshi, Vikrant Shimpi, Neha Behl, Deepa Vaidyanathan, Maitreya Natu:
Prediction Diagnostics - Addressing data veracity in predicting batch processes. ICDM (Workshops) 2021: 201-207 - 2020
- [c12]Parag Agrawal, Tulasi Menon, Aya Kamel, Michel Naim, Chaikesh Chouragade, Gurvinder Singh, Rohan Kulkarni, Anshuman Suri
QnAMaker: Data to Bot in 2 Minutes. WWW (Companion Volume) 2020: 131-134 - [i3]Parag Agrawal, Tulasi Menon, Aya Kamel, Michel Naim, Chaikesh Chouragade, Gurvinder Singh, Rohan Kulkarni, Anshuman Suri, Sahithi Katakam, Vineet Pratik, Prakul Bansal, Simerpreet Kaur, Neha Rajput, Anand Duggal, Achraf Chalabi, Prashant Choudhari, Reddy Satti, Niranjan Nayak:
QnAMaker: Data to Bot in 2 Minutes. CoRR abs/2003.08553 (2020)
2010 – 2019
- 2019
- [c11]Swarup Ranjan Behera, Parag Agrawal, Amit Awekar
Mining Strengths and Weaknesses of Cricket Players Using Short Text Commentary. ICMLA 2019: 673-679 - [c10]Parag Agrawal, Anshuman Suri
NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep. SemEval@NAACL-HLT 2019: 266-271 - [i2]Parag Agrawal, Anshuman Suri:
NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep. CoRR abs/1904.03223 (2019) - 2018
- [i1]Parag Agrawal, Anshuman Suri, Tulasi Menon:
A Trustworthy, Responsible and Interpretable System to Handle Chit Chat in Conversational Bots. CoRR abs/1811.07600 (2018) - 2017
- [c9]Abhay Prakash, Parag Agrawal, Kedhar Nath Narahari, Puneet Agrawal:
Mining Unusual Search Behavior Related to Physical Events. WWW (Companion Volume) 2017: 831-832 - 2014
- [j5]Kareem El Gebaly, Parag Agrawal, Lukasz Golab, Flip Korn, Divesh Srivastava:
Interpretable and Informative Explanations of Outcomes. Proc. VLDB Endow. 8(1): 61-72 (2014) - 2012
- [b1]Parag Agrawal:
Incorporating uncertainty in data management and integration. Stanford University, USA, 2012 - 2011
- [j4]John K. Ousterhout, Parag Agrawal, David Erickson, Christos Kozyrakis, Jacob Leverich, David Mazières, Subhasish Mitra
The case for RAMCloud. Commun. ACM 54(7): 121-130 (2011) - 2010
- [j3]Parag Agrawal, Anish Das Sarma, Jeffrey D. Ullman, Jennifer Widom:
Foundations of Uncertain-Data Integration. Proc. VLDB Endow. 3(1): 1080-1090 (2010) - [c8]Parag Agrawal, Jennifer Widom:
Generalized Uncertain Databases: First Steps. MUD 2010: 99-111 - [c7]Parag Agrawal, Arvind Arasu, Raghav Kaushik:
On indexing error-tolerant set containment. SIGMOD Conference 2010: 927-938
2000 – 2009
- 2009
- [j2]John K. Ousterhout, Parag Agrawal, David Erickson, Christos Kozyrakis, Jacob Leverich, David Mazières, Subhasish Mitra
The case for RAMClouds: scalable high-performance storage entirely in DRAM. ACM SIGOPS Oper. Syst. Rev. 43(4): 92-105 (2009) - [c6]Parag Agrawal, Jennifer Widom:
Confidence-Aware Join Algorithms. ICDE 2009: 628-639 - [c5]Parag Agrawal, Jennifer Widom:
Continuous Uncertainty in Trio. MUD 2009: 17-32 - [c4]Parag Agrawal, Adam Silberstein, Brian F. Cooper, Utkarsh Srivastava, Raghu Ramakrishnan:
Asynchronous view maintenance for VLSD databases. SIGMOD Conference 2009: 179-192 - 2008
- [j1]Parag Agrawal, Daniel Kifer, Christopher Olston:
Scheduling shared scans of large data files. Proc. VLDB Endow. 1(1): 958-969 (2008) - [c3]Anish Das Sarma, Parag Agrawal, Shubha U. Nabar, Jennifer Widom:
Towards Special-Purpose Indexes and Statistics for Uncertain Data. QDB/MUD 2008: 57-72 - 2007
- [c2]Michi Mutsuzaki, Martin Theobald
Trio-One: Layering Uncertainty and Lineage on a Conventional DBMS (Demo). CIDR 2007: 269-274 - 2006
- [c1]Parag Agrawal, Omar Benjelloun, Anish Das Sarma, Chris Hayworth, Shubha U. Nabar, Tomoe Sugihara, Jennifer Widom:
Trio: A System for Data, Uncertainty, and Lineage. VLDB 2006: 1151-1154
Coauthor Index
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