Rajmohan, Saravan
Microsoft (United States)
14 papers on CoChatORCID 0000-0002-2019-213X
Most cited papers
- Verified
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
Chen, Y., Xie, H., Ma, M., Kang, Y., Gao, X., Shi, L., Cao, Y., Gao, X., Fan, H., Wen, M., et al. (2024) · Proceedings of the Nineteenth European Conference on Computer Systems
Software System Performance and ReliabilityCloud Computing and Resource Management
Cited by 190
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Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models
Ahmed, T., Ghosh, S., Bansal, C., Zimmermann, T., Zhang, X., & Rajmohan, S. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)
Software System Performance and ReliabilitySoftware Engineering Research
Cited by 148
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ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
Chen, Y., Zhang, C., Ma, M., Liu, Y., Ding, R., Li, B., He, S., Rajmohan, S., Lin, Q., & Zhang, D. (2023) · Proceedings of the VLDB Endowment
Anomaly Detection Techniques and ApplicationsTime Series Analysis and Forecasting
Cited by 139
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Assess and Summarize: Improve Outage Understanding with Large Language Models
Jin, P., Zhang, S., Ma, M., Li, H., Kang, Y., Li, L., Liu, Y., Qiao, B., Zhang, C., Zhao, P., et al. (2023) · Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
Software System Performance and ReliabilityCloud Computing and Resource Management
Cited by 50
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Xpert: empowering incident management with query recommendations via large language models
Jiang, Y., Zhang, C., He, S., Yang, Z., Ma, M., Qin, S., Kang, Y., Dang, Y., Rajmohan, S., Lin, Q., et al. (2024) · Proceedings of the IEEE/ACM 46th International Conference on Software Engineering
Software System Performance and ReliabilitySoftware Engineering Research
Cited by 45
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MonitorAssistant: simplifying cloud service monitoring via large language models
Yu, Z., Ma, M., Zhang, C., Qin, S., Kang, Y., Bansal, C., Rajmohan, S., Dang, Y., Pei, C., Pei, D., et al. (2024) · Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering
Software System Performance and ReliabilityAnomaly Detection Techniques and Applications
Cited by 32
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Large Language Model-Brained GUI Agents: A Survey
Zhang, C., He, S., Qian, J., Li, B., Li, L., Qin, S., Kang, Y., Ma, M., Liu, G., Lin, Q., et al. (2024) · arXiv
Robotic Process Automation ApplicationsSoftware Testing and Debugging Techniques
Cited by 10
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LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation
Han, D., Couturier, C., Madrigal Diaz, D., Zhang, X., Rühle, V., & Rajmohan, S. (2026) · Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems
AI-based Problem Solving and PlanningMulti-Agent Systems and Negotiation
Cited by 3
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AIOpsLab: a holistic framework to evaluate AI agents for enabling autonomous clouds
Chen, Y., Shetty, M., Somashekar, G., Ma, M., Simmhan, Y., Mace, J., Bansal, C., Wang, R., & Rajmohan, S. (2025) · arXiv
Software System Performance and ReliabilityCloud Computing and Resource Management
Cited by 3
- Verified
LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation
Han, D., Couturier, C., Diaz, D. M., Zhang, X., Rühle, V., & Rajmohan, S. (2025) · arXiv
AI-based Problem Solving and PlanningMulti-Agent Systems and Negotiation
Cited by 3
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Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity
Xia, M., Zhang, X., Dixit, S., Harimurugan, P., Wang, R., Ruhle, V., Sim, R., Bansal, C., & Rajmohan, S. (2026) · arXiv
AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior
Cited by 1
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ACON: Optimizing Context Compression for Long-horizon LLM Agents
Kang, M., Chen, W.-N., Han, D., Inan, H. A., Wutschitz, L., Chen, Y., Sim, R., & Rajmohan, S. (2025) · arXiv
AI-based Problem Solving and PlanningTopic Modeling
Cited by 1
- Verified
AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces
Park, S., Kim, W., Tan, R., Zhang, J., Han, W.-S., Gao, P., Park, C., Yao, Y., Fu, R., Nallipogu, E., et al. (2026) · arXiv
Software Testing and Debugging TechniquesSoftware Engineering Research
Cited by 0
- Verified
Long-Term Agent Memory through Complementary Curation and Consolidation
Gupta, A., Han, D., Diaz, D. M., Chen, W.-N., Das, M., Rühle, V., & Rajmohan, S. (2026) · arXiv
Speech and dialogue systemsAI-based Problem Solving and Planning
Cited by 0
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