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ORCIDNikitha Rao
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- affiliation: Carnegie Mellon University, PA, USA
- affiliation (former): Microsoft Research India, Bengaluru, India
- affiliation (former): PES University, Bangalore, India
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2020 – today
- 2024
[c10]Nikitha Rao
, Jason Tsay, Kiran Kate, Vincent J. Hellendoorn, Martin Hirzel:
AI for Low-Code for AI. IUI 2024: 837-852- [i9]Jenny T. Liang, Melissa Lin, Nikitha Rao, Brad A. Myers:
Prompts Are Programs Too! Understanding How Developers Build Software Containing Prompts. CoRR abs/2409.12447 (2024) - [i8]Nikitha Rao, Elizabeth Gilbert, Tahina Ramananandro, Nikhil Swamy, Claire Le Goues, Sarah Fakhoury:
DiffSpec: Differential Testing with LLMs using Natural Language Specifications and Code Artifacts. CoRR abs/2410.04249 (2024) - 2023
- [c9]Nikitha Rao, Kush Jain, Uri Alon, Claire Le Goues, Vincent J. Hellendoorn:
CAT-LM Training Language Models on Aligned Code And Tests. ASE 2023: 409-420 - [i7]Nikitha Rao, Jason Tsay, Kiran Kate, Vincent J. Hellendoorn, Martin Hirzel:
AI for Low-Code for AI. CoRR abs/2305.20015 (2023) - [i6]Nikitha Rao, Kush Jain, Uri Alon, Claire Le Goues, Vincent J. Hellendoorn:
CAT-LM: Training Language Models on Aligned Code And Tests. CoRR abs/2310.01602 (2023) - 2022
- [j1]Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan:
SoftNER: Mining knowledge graphs from cloud incidents. Empir. Softw. Eng. 27(4): 93 (2022) - [c8]Nikitha Rao, Jason Tsay, Martin Hirzel, Vincent J. Hellendoorn:
Comments on Comments: Where Code Review and Documentation Meet. MSR 2022: 18-22 - [i5]Nikitha Rao, Jason Tsay, Martin Hirzel, Vincent J. Hellendoorn:
Comments on Comments: Where Code Review and Documentation Meet. CoRR abs/2204.00107 (2022) - 2021
- [c7]Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Thomas Zimmermann:
Neural Knowledge Extraction From Cloud Service Incidents. ICSE (SEIP) 2021: 218-227 - [c6]Nikitha Rao, Chetan Bansal, Joe Guan:
Search4Code: Code Search Intent Classification Using Weak Supervision. MSR 2021: 575-579 - 2020
- [c5]Nikitha Rao, Chetan Bansal, Thomas Zimmermann, Ahmed Hassan Awadallah, Nachiappan Nagappan:
Analyzing Web Search Behavior for Software Engineering Tasks. IEEE BigData 2020: 768-777 - [c4]Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee, Chandra Shekhar Maddila:
Product Insights: Analyzing Product Intents in Web Search. CIKM 2020: 2189-2192 - [c3]Chetan Bansal, Pantazis Deligiannis, Chandra Shekhar Maddila, Nikitha Rao:
Studying Ransomware Attacks Using Web Search Logs. SIGIR 2020: 1517-1520 - [i4]Chetan Bansal, Pantazis Deligiannis, Chandra Shekhar Maddila, Nikitha Rao:
Studying Ransomware Attacks Using Web Search Logs. CoRR abs/2005.00517 (2020) - [i3]Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee, Chandra Shekhar Maddila:
Product Insights: Analyzing Product Intents in Web Search. CoRR abs/2005.08591 (2020) - [i2]Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Thomas Zimmermann:
Neural Knowledge Extraction From Cloud Service Incidents. CoRR abs/2007.05505 (2020) - [i1]Nikitha Rao, Chetan Bansal, Joe Guan:
Code Search Intent Classification Using Weak Supervision. CoRR abs/2011.11950 (2020)
2010 – 2019
- 2019
- [c2]B. S. Nikitha Rao, Piyush M. Surana, Rahul Ragesh, Gowri Srinivasa:
Analysis of Joints for Tracking Fitness and Monitoring Progress in Physiotherapy. ICSIPA 2019: 181-185 - 2018
- [c1]A. Vinay, Pratik Rajesh Sampat, Sagar V. Belavadi, R. Pratik, B. S. Nikitha Rao, Rahul Ragesh, K. N. Balasubramanya Murthy, S. Natarajan:
Face recognition using interest points and ensemble of classifiers. RAIT 2018: 1-8
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