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2020 – today
- 2025
[i9]Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan:
AIOpsLab: A Holistic Framework to Evaluate AI Agents for Enabling Autonomous Clouds. CoRR abs/2501.06706 (2025)- 2024
- [c7]Manish Shetty
, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Xuchao Zhang, Jonathan Mace, Dax Vandevoorde, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan:
Building AI Agents for Autonomous Clouds: Challenges and Design Principles. SoCC 2024: 99-110 - [c6]Naman Jain, Manish Shetty, Tianjun Zhang, King Han, Koushik Sen, Ion Stoica:
R2E: Turning any Github Repository into a Programming Agent Environment. ICML 2024 - [i8]Manish Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Xuchao Zhang, Jonathan Mace, Dax Vandevoorde, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan:
Building AI Agents for Autonomous Clouds: Challenges and Design Principles. CoRR abs/2407.12165 (2024) - [i7]Manish Shetty, Naman Jain, Adwait Godbole, Sanjit A. Seshia, Koushik Sen:
Syzygy: Dual Code-Test C to (safe) Rust Translation using LLMs and Dynamic Analysis. CoRR abs/2412.14234 (2024) - 2023
- [i6]Arnav Singhvi, Manish Shetty, Shangyin Tan, Christopher Potts, Koushik Sen, Matei Zaharia, Omar Khattab:
DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines. CoRR abs/2312.13382 (2023) - [i5]Manish Shetty, Koushik Sen, Ion Stoica:
CodeScholar: Growing Idiomatic Code Examples. CoRR abs/2312.15157 (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) - [c5]Supriyo Ghosh, Manish Shetty, Chetan Bansal, Suman Nath:
How to fight production incidents?: an empirical study on a large-scale cloud service. SoCC 2022: 126-141 - [c4]Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari:
DeepAnalyze: Learning to Localize Crashes at Scale. ICSE 2022: 549-560 - [c3]Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta:
AutoTSG: learning and synthesis for incident troubleshooting. ESEC/SIGSOFT FSE 2022: 1477-1488 - [i4]Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta:
AutoTSG: Learning and Synthesis for Incident Troubleshooting. CoRR abs/2205.13457 (2022) - 2021
- [c2]Manish Shetty, Soumya Mary Alex, Merlin Moni, Fabia Edathadathil, Preetha Prasanna, Veena Menon, Vidya P. Menon, Prashanth Athri, Gowri Srinivasa:
A Machine Learning Understanding of Sepsis. EMBC 2021: 2175-2179 - [c1]Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Thomas Zimmermann:
Neural Knowledge Extraction From Cloud Service Incidents. ICSE (SEIP) 2021: 218-227 - [i3]Manish Shetty, Chetan Bansal:
Mining Knowledge Graphs From Incident Reports. CoRR abs/2101.05961 (2021) - [i2]Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari:
Large-scale Crash Localization using Multi-Task Learning. CoRR abs/2109.14326 (2021) - 2020
- [i1]Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Thomas Zimmermann:
Neural Knowledge Extraction From Cloud Service Incidents. CoRR abs/2007.05505 (2020)
Coauthor Index
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