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ORCIDNeeraj Agrawal
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2020 – today
- 2025
[c8]Joel Coburn
, Chunqiang Tang, Sameer Abu Asal, Neeraj Agrawal, Raviteja Chinta, Harish Dattatraya Dixit, Brian Dodds, Saritha Dwarakapuram, Amin Firoozshahian, Cao Gao, Kaustubh Gondkar, Tyler Graf, Junhan Hu, Jian Huang, Sterling Hughes, Adam Hutchin, Bhasker Jakka, Guoqiang Jerry Chen, Indu Kalyanaraman, Ashwin Kamath, Pankaj Kansal, Erum Kazi, Roman Levenstein, Mahesh Maddury, Alex Mastro, Siji Medaiyese, Pritesh Modi, Jack Montgomery, Nadathur Satish, Amit Nagpal, Ashwin Narasimha, Maxim Naumov, Eleanor Ozer, Jongsoo Park, Poorvaja Ramani, Harikrishna Reddy, David Reiss, Deboleena Roy, Sathish Sekar, Arushi Sharma, Pavan Shetty, Aravind Sukumaran-Rajam, Eran Tal, Mike Tsai, Shreya Varshini, Richard Wareing, Olívia Wu, Xiaolong Xie, Jinghan Yang, Hangchen Yu, Tanmay Zargar, Zitong Zeng, Feixiong Zhang, Ajit Mathews, Xun Jiao, Jiyuan Zhang, Emmanuel Menage, Truls Edvard Stokke, Mohammed Sourouri:
Meta's Second Generation AI Chip: Model-Chip Co-Design and Productionization Experiences. ISCA 2025: 1689-1702- [i6]Neeraj Agrawal, Sriram Ganapathy:
Spoken Language Understanding on Unseen Tasks With In-Context Learning. CoRR abs/2505.07731 (2025) - [i5]Subhadip Nandi, Neeraj Agrawal, Anshika Singh, Priyanka Bhatt:
Enhancing Customer Service Chatbots with Context-Aware NLU through Selective Attention and Multi-task Learning. CoRR abs/2506.01781 (2025) - [i4]Neeraj Agrawal, Saurabh Kumar, Priyanka Bhatt, Tanishka Agarwal:
Hierarchical Text Classification Using Contrastive Learning Informed Path Guided Hierarchy. CoRR abs/2506.04381 (2025) - [i3]Saurabh Kumar, Sourav Bansal, Neeraj Agrawal, Priyanka Bhatt:
Building a Few-Shot Cross-Domain Multilingual NLU Model for Customer Care. CoRR abs/2506.04389 (2025) - 2024
- [c7]Subhadip Nandi, Neeraj Agrawal, Anshika Singh, Priyanka Bhatt:
Enhancing Customer Service Chatbots with Context-Aware NLU through Selective Attention and Multi-task Learning. COMAD/CODS (December) 2024: 220-228 - [c6]Subhadip Nandi, Neeraj Agrawal:
Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model. EMNLP (Industry Track) 2024: 686-696 - [i2]Subhadip Nandi, Neeraj Agrawal:
Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model. CoRR abs/2411.00451 (2024) - 2023
- [c5]Neeraj Agrawal:
Hierarchical Text Classification Using Contrastive Learning Informed Path Guided Hierarchy. ECAI 2023: 19-26 - [c4]Neeraj Agrawal, Priyanka Bhatt:
Building a Few-Shot Cross-Domain Multilingual NLU Model for Customer Care. ECAI 2023: 3212-3217 - 2021
- [i1]Makkunda Sharma, Nikhil Shenoy, Jigar Doshi, Piyush Bagad, Aman Dalmia, Parag Bhamare, Amrita Mahale, Saurabh Rane, Neeraj Agrawal, Rahul Panicker:
Impact of data-splits on generalization: Identifying COVID-19 from cough and context. CoRR abs/2106.03851 (2021)
2000 – 2009
- 2005
- [c3]Neeraj Agrawal, Scott Holmes, Sachindra Joshi, Sumit Negi:
TAP: A Platform for Enabling Enterprises to Develop Business Specific Text Analytic Applications. COMAD 2005: 103-111 - 2004
- [j1]Neeraj Agrawal, Rema Ananthanarayanan, Rahul Gupta, Sachindra Joshi, Raghu Krishnapuram, Sumit Negi:
The eShopmonitor: A comprehensive data extraction tool for monitoring Web sites. IBM J. Res. Dev. 48(5-6): 679-692 (2004) - [c2]Neeraj Agrawal, Rema Ananthanarayanan, Rahul Gupta, Sachindra Joshi, Raghu Krishnapuram, Sumit Negi:
EShopMonitor: A Web Content Monitoring Tool. ICDE 2004: 817-820 - 2003
- [c1]Sachindra Joshi, Neeraj Agrawal, Raghu Krishnapuram, Sumit Negi:
A bag of paths model for measuring structural similarity in Web documents. KDD 2003: 577-582
Coauthor Index
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