Chetan Bansal

According to our database, Chetan Bansal authored at least 67 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Unveiling Context-Aware Criteria in Self-Assessing LLMs.

Taneesh Gupta, Shivam Shandilya, Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Huaxiu Yao, Saravan Rajmohan

CoRR, 2024

CREAM: Consistency Regularized Self-Rewarding Language Models.

Zhaoyang Wang, Weilei He, Zhiyuan Liang, Xuchao Zhang, Chetan Bansal, Ying Wei, Weitong Zhang, Huaxiu Yao

CoRR, 2024

Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling.

Kunal Jain, Anjaly Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Rühle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan

CoRR, 2024

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models.

Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao

CoRR, 2024

Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection.

Jun Liu, Chaoyun Zhang, Jiaxu Qian, Minghua Ma, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

CoRR, 2024

Towards Cloud Efficiency with Large-scale Workload Characterization.

Anjaly Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Lexiang Huang, Timothy Zhu, Chetan Bansal

CoRR, 2024

Workload Intelligence: Punching Holes Through the Cloud Abstraction.

Lexiang Huang, Anjaly Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit A. Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini

CoRR, 2024

COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy.

Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

CoRR, 2024

Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning.

Lu Wang, Mayukh Das, Fangkai Yang, Junjie Sheng, Bo Qiao, Hang Dong, Si Qin, Victor Rühle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

CoRR, 2024

Dependency Aware Incident Linking in Large Cloud Systems.

Supriyo Ghosh, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

LM-PACE: Confidence Estimation by Large Language Models for Effective Root Causing of Cloud Incidents.

Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4.

Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models.

Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin, Dongmei Zhang

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Exploring LLM-Based Agents for Root Cause Analysis.

Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

X-Lifecycle Learning for Cloud Incident Management using LLMs.

Drishti Goel, Fiza Husain, Aditya Singh, Supriyo Ghosh, Anjaly Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer.

Zhaoyang Yu, Changhua Pei, Xin Wang, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Large Language Models Can Provide Accurate and Interpretable Incident Triage.

Zexin Wang, Jianhui Li, Minghua Ma, Ze Li, Yu Kang, Chaoyun Zhang, Chetan Bansal, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Changhua Pei, Gaogang Xie

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction.

Yudong Liu, Minghua Ma, Pu Zhao, Tianci Li, Bo Qiao, Shuo Li, Ze Li, Murali Chintalapati, Yingnong Dang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning.

Haozhe Li, Minghua Ma, Yudong Liu, Pu Zhao, Shuo Li, Ze Li, Murali Chintalapati, Yingnong Dang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Designing Cloud Servers for Lower Carbon.

Jaylen Wang, Daniel S. Berger, Fiodar Kazhamiaka, Celine Irvene, Chaojie Zhang, Esha Choukse, Kali Frost, Rodrigo Fonseca, Brijesh Warrier, Chetan Bansal, Jonathan Stern, Ricardo Bianchini, Akshitha Sriraman

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud.

Jovan Stojkovic, Pulkit A. Misra, Íñigo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach.

Pooja Srinivas, Fiza Husain, Anjaly Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan

Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

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 Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan

Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty.

Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Qi Zhang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Nudge: Accelerating Overdue Pull Requests toward Completion.

Chandra Shekhar Maddila, Sai Surya Upadrasta, Chetan Bansal, Nachiappan Nagappan, Georgios Gousios, Arie van Deursen

ACM Trans. Softw. Eng. Methodol., April, 2023

PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis.

Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan

CoRR, 2023

AutoARTS: Taxonomy, Insights and Tools for Root Cause Labelling of Incidents in Microsoft Azure.

Pradeep Dogga, Chetan Bansal, Richard Costleigh, Gopinath Jayagopal, Suman Nath, Xuchao Zhang

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

Detection Is Better Than Cure: A Cloud Incidents Perspective.

Vaibhav Ganatra, Anjaly Parayil, Supriyo Ghosh, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models.

Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, Saravan Rajmohan

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads.

Xiaoting Qin, Minghua Ma, Yuheng Zhao, Jue Zhang, Chao Du, Yudong Liu, Anjaly Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin, Dongmei Zhang

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023

Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs.

Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Rühle, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

SoftNER: Mining knowledge graphs from cloud incidents.

Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan

Empir. Softw. Eng., 2022

Spot Virtual Machine Eviction Prediction in Microsoft Cloud.

Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Iñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

AutoTSG: learning and synthesis for incident troubleshooting.

Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Nalanda: a socio-technical graph platform for building software analytics tools at enterprise scale.

Chandra Shekhar Maddila, Suhas Shanbhogue, Apoorva Agrawal, Thomas Zimmermann, Chetan Bansal, Nicole Forsgren, Divyanshu Agrawal, Kim Herzig, Arie van Deursen

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

DeepAnalyze: Learning to Localize Crashes at Scale.

Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Characterizing the Usage of CI Tools in ML Projects.

Dhia Elhaq Rzig, Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan

Proceedings of the ESEM '22: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Helsinki, Finland, September 19, 2022

How to fight production incidents?: an empirical study on a large-scale cloud service.

Supriyo Ghosh, Manish Shetty, Chetan Bansal, Suman Nath

Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

2021

Industry-Academia Research Collaborations During and After COVID-19.

Dusica Marijan, Chetan Bansal, Tamara Lopez

ACM SIGSOFT Softw. Eng. Notes, 2021

Large-scale intent analysis for identifying large-review-effort code changes.

Song Wang, Chetan Bansal, Nachiappan Nagappan

Inf. Softw. Technol., 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

Mining Knowledge Graphs From Incident Reports.

Manish Shetty, Chetan Bansal

CoRR, 2021

Search4Code: Code Search Intent Classification Using Weak Supervision.

Nikitha Rao, Chetan Bansal, Joe Guan

Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

Micro-climate Prediction - Multi Scale Encoder-decoder based Deep Learning Framework.

Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Neural Knowledge Extraction From Cloud Service Incidents.

Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Thomas Zimmermann

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2021

2020

Nudge: Accelerating Overdue Pull Requests Towards Completion.

Chandra Shekhar Maddila, Sai Surya Upadrasta, Chetan Bansal, Nachiappan Nagappan, Georgios Gousios, Arie van Deursen

CoRR, 2020

Code Search Intent Classification Using Weak Supervision.

Nikitha Rao, Chetan Bansal, Joe Guan

CoRR, 2020

Studying Ransomware Attacks Using Web Search Logs.

Chetan Bansal, Pantazis Deligiannis, Chandra Shekhar Maddila, Nikitha Rao

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Rex: Preventing Bugs and Misconfiguration in Large Services Using Correlated Change Analysis.

Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, Chetan Bansal, Chandra Shekhar Maddila, Balasubramanyan Ashok, Sumit Asthana, Christian Bird, Aditya Kumar

Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation, 2020

DeCaf: diagnosing and triaging performance issues in large-scale cloud services.

Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman

Proceedings of the ICSE-SEIP 2020: 42nd International Conference on Software Engineering, Software Engineering in Practice, Seoul, South Korea, 27 June, 2020

Angelic Checking within Static Driver Verifier: Towards high-precision defects without (modeling) cost.

Shuvendu K. Lahiri, Akash Lal, Sridhar Gopinath, Alexander Nutz, Vladimir Levin, Rahul Kumar, Nate Deisinger, Jakob Lichtenberg, Chetan Bansal

Proceedings of the 2020 Formal Methods in Computer Aided Design, 2020

An Empirical Study of Software Exceptions in the Field using Search Logs.

Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan, Thomas Zimmermann, Ahmed Hassan Awadallah

Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020

Product Insights: Analyzing Product Intents in Web Search.

Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee, Chandra Shekhar Maddila

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Analyzing Web Search Behavior for Software Engineering Tasks.

Nikitha Rao, Chetan Bansal, Thomas Zimmermann, Ahmed Hassan Awadallah, Nachiappan Nagappan

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

The Usage of Web Search for Software Engineering.

Chetan Bansal, Thomas Zimmermann, Ahmed Hassan Awadallah, Nachiappan Nagappan

CoRR, 2019

Predicting pull request completion time: a case study on large scale cloud services.

Chandra Shekhar Maddila, Chetan Bansal, Nachiappan Nagappan

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

WhoDo: automating reviewer suggestions at scale.

Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Christian Bird, Chetan Bansal, Chandra Shekhar Maddila, Sonu Mehta, Balasubramanyan Ashok

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes.

Song Wang, Chetan Bansal, Nachiappan Nagappan, Adithya Abraham Philip

Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering, 2019

Building sankie: an AI platform for DevOps.

Rahul Kumar, Chetan Bansal, Chandra Shekhar Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava

Proceedings of the 1st International Workshop on Bots in Software Engineering, 2019

2016

Static Analysis Using the Cloud.

Rahul Kumar, Chetan Bansal, Jakob Lichtenberg

Proceedings of the First International Workshop on Formal Methods for and on the Cloud, 2016

CloudSDV Enabling Static Driver Verifier Using Microsoft Azure.

Rahul Kumar, Thomas Ball, Jakob Lichtenberg, Nate Deisinger, Apoorv Upreti, Chetan Bansal

Proceedings of the Integrated Formal Methods - 12th International Conference, 2016

Hashtag Recommendation for Enterprise Applications.

Dhruv Mahajan, Vishwajit Kolathur, Chetan Bansal, Suresh Parthasarathy, Sundararajan Sellamanickam, S. Sathiya Keerthi, Johannes Gehrke

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Cache Timing Attacks Revisited: Efficient and Repeatable Browser History, OS and Network Sniffing.

Chetan Bansal, Sören Preibusch, Natasa Milic-Frayling

Proceedings of the ICT Systems Security and Privacy Protection, 2015

2014

Discovering concrete attacks on website authorization by formal analysis.

Chetan Bansal, Karthikeyan Bhargavan, Antoine Delignat-Lavaud, Sergio Maffeis

J. Comput. Secur., 2014

2013

Keys to the Cloud: Formal Analysis and Concrete Attacks on Encrypted Web Storage.

Chetan Bansal, Karthikeyan Bhargavan, Antoine Delignat-Lavaud, Sergio Maffeis

Proceedings of the Principles of Security and Trust - Second International Conference, 2013

2012

Discovering Concrete Attacks on Website Authorization by Formal Analysis.

Chetan Bansal, Karthikeyan Bhargavan, Sergio Maffeis

Proceedings of the 25th IEEE Computer Security Foundations Symposium, 2012

2009

Binaural Intensity Comparison in the Echolocating Bat using Synaptic Conductance.

Timothy K. Horiuchi, Chetan Bansal, Tarek M. Massoud

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009