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Manish Shetty
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2020 – today
- 2026
[i13]Mike A. Merrill, Alexander Glenn Shaw, Nicholas Carlini, Boxuan Li, Harsh Raj, Ivan Bercovich, Lin Shi, Jeong Yeon Shin, Thomas Walshe, Estefany Kelly Buchanan, Junhong Shen, Guanghao Ye, Haowei Lin, Jason Poulos, Maoyu Wang, Marianna Nezhurina, Jenia Jitsev, Di Lu, Orfeas Menis-Mastromichalakis, Zhiwei Xu, Zizhao Chen, Yue Liu, Robert Zhang, Leon Liangyu Chen, Anurag Kashyap, Jan-Lucas Uslu, Jeffrey Li, Jianbo Wu, Minghao Yan, Song Bian, Vedang Sharma, Ke Sun, Steven Dillmann, Akshay Anand, Andrew Lanpouthakoun, Bardia Koopah, Changran Hu, Etash Kumar Guha, Gabriel H. S. Dreiman, Jiacheng Zhu, Karl Krauth, Li Zhong, Niklas Muennighoff, Robert Amanfu, Shangyin Tan, Shreyas Pimpalgaonkar, Tushar Aggarwal, Xiangning Lin, Xin Lan, Xuandong Zhao, Yiqing Liang, Yuanli Wang, Zilong Wang, Changzhi Zhou, David Heineman, Hange Liu, Harsh Trivedi, John Yang, Junhong Lin, Manish Shetty, Michael Yang, Nabil Omi, Negin Raoof, Shanda Li, Terry Yue Zhuo, Wuwei Lin, Yiwei Dai, Yuxin Wang, Wenhao Chai, Shang Zhou, Dariush Wahdany, Ziyu She, Jiaming Hu, Zhikang Dong, Yuxuan Zhu, Sasha Cui, Ahson Saiyed, Arinbjörn Kolbeinsson, Jesse Hu, Christopher Michael Rytting, Ryan Marten, Yixin Wang, Alex Dimakis, Andy Konwinski, Ludwig Schmidt:
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces. CoRR abs/2601.11868 (2026)- 2025
[c9]Alex Gu, Naman Jain, Wen-Ding Li, Manish Shetty, Kevin Ellis, Koushik Sen, Armando Solar-Lezama:
Position: Future Research and Challenges Remain Towards AI for Software Engineering. ICML (Position Papers) 2025
[c8]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. MLSys 2025
[i12]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)
[i11]Alex Gu, Naman Jain, Wen-Ding Li, Manish Shetty, Yijia Shao, Ziyang Li, Diyi Yang, Kevin Ellis, Koushik Sen, Armando Solar-Lezama:
Challenges and Paths Towards AI for Software Engineering. CoRR abs/2503.22625 (2025)
[i10]Naman Jain, Jaskirat Singh, Manish Shetty, Liang Zheng, Koushik Sen, Ion Stoica:
R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agents. CoRR abs/2504.07164 (2025)
[i9]Manish Shetty, Naman Jain, Jinjian Liu, Vijay Kethanaboyina, Koushik Sen, Ion Stoica:
GSO: Challenging Software Optimization Tasks for Evaluating SWE-Agents. CoRR abs/2505.23671 (2025)- 2024
[c7]Manish Shetty
, Yinfang Chen
, Gagan Somashekar
, Minghua Ma
, Yogesh Simmhan
, Xuchao Zhang
, Jonathan Mace
, Dax Vandevoorde
, Pedro Henrique B. 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: 21196-21224
[i8]Manish Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Xuchao Zhang, Jonathan Mace, Dax Vandevoorde, Pedro Henrique B. 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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last updated on 2026-02-18 23:30 CET by the dblp team
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