A Machine Learning Understanding of Sepsis. - Manish Shetty; Soumya Mary Alex; Merlin Moni; Fabia Edathadathil; Preetha Prasanna; Veena Menon; Vidya P. Menon; Prashanth Athri; Gowri Srinivasa (EMBC, 2021)

Neural Knowledge Extraction From Cloud Service Incidents. - Manish Shetty; Chetan Bansal; Sumit Kumar; Nikitha Rao; Nachiappan Nagappan; Thomas Zimmermann 001 (ICSE (SEIP), 2021)

Mining Knowledge Graphs From Incident Reports. - Manish Shetty; Chetan Bansal (CoRR, 2021)

Large-scale Crash Localization using Multi-Task Learning. - Manish Shetty; Chetan Bansal; Suman Nath; Sean Bowles; Henry Wang; Ozgur Arman; Siamak Ahari (CoRR, 2021)

How to fight production incidents?: an empirical study on a large-scale cloud service. - Supriyo Ghosh; Manish Shetty; Chetan Bansal; Suman Nath (SoCC, 2022)

DeepAnalyze: Learning to Localize Crashes at Scale. - Manish Shetty; Chetan Bansal; Suman Nath; Sean Bowles; Henry Wang; Ozgur Arman; Siamak Ahari (ICSE, 2022)

AutoTSG: learning and synthesis for incident troubleshooting. - Manish Shetty; Chetan Bansal; Sai Pramod Upadhyayula; Arjun Radhakrishna; Anurag Gupta (ESEC/SIGSOFT FSE, 2022)

SoftNER: Mining knowledge graphs from cloud incidents. - Manish Shetty; Chetan Bansal; Sumit Kumar; Nikitha Rao; Nachiappan Nagappan (Empir. Softw. Eng., 2022)

DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines. - Arnav Singhvi; Manish Shetty; Shangyin Tan; Christopher Potts; Koushik Sen; Matei Zaharia; Omar Khattab (CoRR, 2023)

CodeScholar: Growing Idiomatic Code Examples. - Manish Shetty; Koushik Sen; Ion Stoica (CoRR, 2023)

Building AI Agents for Autonomous Clouds: Challenges and Design Principles. - 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; et al. (SoCC, 2024)

R2E: Turning any Github Repository into a Programming Agent Environment. - Naman Jain; Manish Shetty; Tianjun Zhang; King Han; Koushik Sen; Ion Stoica (ICML, 2024)

Syzygy: Dual Code-Test C to (safe) Rust Translation using LLMs and Dynamic Analysis. - Manish Shetty; Naman Jain; Adwait Godbole; Sanjit A. Seshia; Koushik Sen (CoRR, 2024)

AIOpsLab: A Holistic Framework to Evaluate AI Agents for Enabling Autonomous Clouds. - Yinfang Chen; Manish Shetty; Gagan Somashekar; Minghua Ma; Yogesh Simmhan; Jonathan Mace; Chetan Bansal; Rujia Wang; Saravan Rajmohan (CoRR, 2025)

Challenges and Paths Towards AI for Software Engineering. - Alex Gu; Naman Jain; Wen-Ding Li; Manish Shetty; Yijia Shao; Ziyang Li; Diyi Yang; Kevin Ellis; Koushik Sen; Armando Solar-Lezama (CoRR, 2025)

R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agents. - Naman Jain; Jaskirat Singh; Manish Shetty; Liang Zheng 001; Koushik Sen; Ion Stoica (CoRR, 2025)

GSO: Challenging Software Optimization Tasks for Evaluating SWE-Agents. - Manish Shetty; Naman Jain; Jinjian Liu; Vijay Kethanaboyina; Koushik Sen; Ion Stoica (CoRR, 2025)