Saravan Rajmohan

According to our database, Saravan Rajmohan authored at least 123 papers between 2022 and 2025.

Collaborative distances:

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

2025

Analog optical computer for AI inference and combinatorial optimization.

Kirill P. Kalinin, Jannes Gladrow, Jiaqi Chu, James H. Clegg, Daniel Cletheroe, Douglas J. Kelly, Babak Rahmani, Grace Brennan, Burcu Canakci, Fabian Falck, Michael Hansen, Jim Kleewein, Heiner Kremer, Greg O'Shea, Lucinda Pickup, Saravan Rajmohan, Antony I. T. Rowstron, Victor Rühle, Lee Braine, Shrirang Khedekar, Natalia G. Berloff, Christos Gkantsidis, Francesca Parmigiani, Hitesh Ballani

Nat., September, 2025

OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows.

Weixuan Wang, Dongge Han, Daniel Madrigal Diaz, Jin Xu, Victor Rühle, Saravan Rajmohan

CoRR, August, 2025

AdaptFlow: Adaptive Workflow Optimization via Meta-Learning.

Runchuan Zhu, Bowen Jiang, Lingrui Mei, Fangkai Yang, Lu Wang, Haoxiang Gao, Fengshuo Bai, Pu Zhao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

CoRR, August, 2025

WarriorMath: Enhancing the Mathematical Ability of Large Language Models with a Defect-aware Framework.

Yue Chen, Minghua He, Fangkai Yang, Pu Zhao, Lu Wang, Yu Kang, Yifei Dong, Yuefeng Zhan, Hao Sun, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

CoRR, August, 2025

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search.

Dongge Han, Menglin Xia, Daniel Madrigal Diaz, Samuel Kessler, Ankur Mallick, Xuchao Zhang, Mirian del Carmen Hipolito Garcia, Jin Xu, Victor Rühle, Saravan Rajmohan

CoRR, June, 2025

SWE-bench Goes Live!

Linghao Zhang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Chengxing Xie, Junhao Wang, Maoquan Wang, Yufan Huang, Shengyu Fu, Elsie Nallipogu, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Yudong Zhang

CoRR, May, 2025

Text2Grad: Reinforcement Learning from Natural Language Feedback.

Hanyang Wang, Lu Wang, Chaoyun Zhang, Tianjun Mao, Si Qin, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

CoRR, May, 2025

Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models.

Camille Couturier, Spyros Mastorakis, Haiying Shen, Saravan Rajmohan, Victor Rühle

CoRR, May, 2025

Zoomer: Adaptive Image Focus Optimization for Black-box MLLM.

Jiaxu Qian, Chendong Wang, Yifan Yang, Chaoyun Zhang, Huiqiang Jiang, Xufang Luo, Yu Kang, Qingwei Lin, Anlan Zhang, Shiqi Jiang, Ting Cao, Tianjun Mao, Suman Banerjee, Guyue Liu, Saravan Rajmohan, Dongmei Zhang, Yuqing Yang, Qi Zhang, Lili Qiu

CoRR, May, 2025

Exploring How LLMs Capture and Represent Domain-Specific Knowledge.

Mirian Hipolito Garcia, Camille Couturier, Daniel Madrigal Diaz, Ankur Mallick, Anastasios Kyrillidis, Robert Sim, Victor Rühle, Saravan Rajmohan

CoRR, April, 2025

UFO2: The Desktop AgentOS.

Chaoyun Zhang, He Huang, Chiming Ni, Jian Mu, Si Qin, Shilin He, Lu Wang, Fangkai Yang, Pu Zhao, Chao Du, Liqun Li, Yu Kang, Zhao Jiang, Suzhen Zheng, Rujia Wang, Jiaxu Qian, Minghua Ma, Jian-Guang Lou, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

CoRR, April, 2025

eARCO: Efficient Automated Root Cause Analysis with Prompt Optimization.

Drishti Goel, Raghav Magazine, Supriyo Ghosh, Akshay Nambi, Prathamesh Deshpande, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan

CoRR, April, 2025

An Empirical Study of Production Incidents in Generative AI Cloud Services.

Haoran Yan, Yinfang Chen, Minghua Ma, Ming Wen, Shan Lu, Shenglin Zhang, Tianyin Xu, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Chaoyun Zhang, Dongmei Zhang

CoRR, April, 2025

Distill Not Only Data but Also Rewards: Can Smaller Language Models Surpass Larger Ones?

Yudi Zhang, Lu Wang, Meng Fang, Yali Du, Chenghua Huang, Jun Wang, Qingwei Lin, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

CoRR, February, 2025

VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model.

Jiani Zheng, Lu Wang, Fangkai Yang, Chaoyun Zhang, Lingrui Mei, Wenjie Yin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

CoRR, February, 2025

AMPO: Active Multi-Preference Optimization.

Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan

CoRR, February, 2025

Lean and Mean: Decoupled Value Policy Optimization with Global Value Guidance.

Chenghua Huang, Lu Wang, Fangkai Yang, Pu Zhao, Zhixu Li, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

CoRR, February, 2025

Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale.

Shashwat Jaiswal, Kunal Jain, Yogesh Simmhan, Anjaly Parayil, Ankur Mallick, Rujia Wang, Renée St. Amant, Chetan Bansal, Victor Rühle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan

CoRR, February, 2025

MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf.

Lingxiang Hu, Shurun Yuan, Xiaoting Qin, Jue Zhang, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

CoRR, February, 2025

Minerva: A Programmable Memory Test Benchmark for Language Models.

Menglin Xia, Victor Rühle, Saravan Rajmohan, Reza Shokri

CoRR, February, 2025

Enabling Autonomic Microservice Management through Self-Learning Agents.

Fenglin Yu, Fangkai Yang, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

CoRR, January, 2025

ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation.

Minghua He, Fangkai Yang, Pu Zhao, Wenjie Yin, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

CoRR, January, 2025

Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation.

Xing Zhang, Jiaheng Wen, Fangkai Yang, Pu Zhao, Yu Kang, Junhao Wang, Maoquan Wang, Yufan Huang, Elsie Nallipogu, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

CoRR, January, 2025

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, January, 2025

Large Language Model-Brained GUI Agents: A Survey.

Chaoyun Zhang, Shilin He, Jiaxu Qian, Bowen Li, Liqun Li, Si Qin, Yu Kang, Minghua Ma, Guyue Liu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

Trans. Mach. Learn. Res., 2025

Large Action Models: From Inception to Implementation.

Lu Wang, Fangkai Yang, Chaoyun Zhang, Junting Lu, Jiaxu Qian, Shilin He, Pu Zhao, Bo Qiao, He Huang, Si Qin, Qisheng Su, Jiayi Ye, Yudi Zhang, Jian-Guang Lou, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

Trans. Mach. Learn. Res., 2025

Te-PID: An Adaptive Erasure Coding Temperature Management System for Optimized Cloud Storage.

Pei Xiao, Lu Wang, Fangkai Yang, Guoqing Geng, Haoran Li, Jeff Zhu, Yu Kang, Yifan Li, Terry Chen, Yue Chen, Saravan Rajmohan, Qi Zhang

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

UFO: A UI-Focused Agent for Windows OS Interaction.

Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation.

Mengkang Hu, Pu Zhao, Can Xu, Qingfeng Sun, Jian-Guang Lou, Qingwei Lin, Ping Luo, Saravan Rajmohan

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks.

Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin, Xu Yang, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

Proceedings of the 30th International Conference on Intelligent User Interfaces, 2025

Self-Evolved Reward Learning for LLMS.

Chenghua Huang, Zhizhen Fan, Lu Wang, Fangkai Yang, Pu Zhao, Zeqi Lin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RuAG: Learned-rule-augmented Generation for Large Language Models.

Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AllHands :Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models.

Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Performance Aware LLM Load Balancer for Mixed Workloads.

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

Proceedings of the 5th Workshop on Machine Learning and Systems, 2025

Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval.

Yuanmin Tang, Jue Zhang, Xiaoting Qin, Jing Yu, Gaopeng Gou, Gang Xiong, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Coach: Exploiting Temporal Patterns for All-Resource Oversubscription in Cloud Platforms.

Benjamin Reidys, Pantea Zardoshti, Íñigo Goiri, Celine Irvene, Daniel S. Berger, Haoran Ma, Kapil Arya, Eli Cortez, Taylor Stark, Eugene Bak, Mehmet Iyigun, Stanko Novakovic, Lisa Hsu, Karel Trueba, Abhisek Pan, Chetan Bansal, Saravan Rajmohan, Jian Huang, Ricardo Bianchini

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale.

Linghao Zhang, Junhao Wang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Jiaheng Wen, Chengxing Xie, Maoquan Wang, Yufan Huang, Elsie Nallipogu, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning.

Shivam Shandilya, Menglin Xia, Supriyo Ghosh, Huiqiang Jiang, Jue Zhang, Qianhui Wu, Victor Rühle, Saravan Rajmohan

Proceedings of the Findings of the Association for Computational Linguistics, 2025

AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents.

Junting Lu, Zhiyang Zhang, Fangkai Yang, Jue Zhang, Lu Wang, Chao Du, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Synergistic Weak-Strong Collaboration by Aligning Preferences.

Yizhu Jiao, Xuchao Zhang, Zhaoyang Wang, Yubo Ma, Zhun Deng, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Jiawei Han, Huaxiu Yao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling.

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models.

Huawen Feng, Pu Zhao, Qingfeng Sun, Can Xu, Fangkai Yang, Lu Wang, Qianli Ma, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

REFA: Reference Free Alignment for multi-preference optimization.

Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan

CoRR, 2024

Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval.

Yuanmin Tang, Xiaoting Qin, Jue Zhang, Jing Yu, Gaopeng Gou, Gang Xiong, Qingwei Ling, Saravan Rajmohan, Dongmei Zhang, Qi Wu

CoRR, 2024

Large Action Models: From Inception to Implementation.

Lu Wang, Fangkai Yang, Chaoyun Zhang, Junting Lu, Jiaxu Qian, Shilin He, Pu Zhao, Bo Qiao, Ray Huang, Si Qin, Qisheng Su, Jiayi Ye, Yudi Zhang, Jian-Guang Lou, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

CoRR, 2024

TurboAttention: Efficient Attention Approximation For High Throughputs LLMs.

Hao Kang, Srikant Bharadwaj, James Hensman, Tushar Krishna, Victor Rühle, Saravan Rajmohan

CoRR, 2024

SWEPO: Simultaneous Weighted Preference Optimization for Group Contrastive Alignment.

Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan

CoRR, 2024

Ensuring Fair LLM Serving Amid Diverse Applications.

Redwan Ibne Seraj Khan, Kunal Jain, Haiying Shen, Ankur Mallick, Anjaly Parayil, Anoop Kulkarni, Steve Kofsky, Pankhuri Choudhary, Renée St. Amant, Rujia Wang, Yue Cheng, Ali Raza Butt, Victor Rühle, Chetan Bansal, Saravan Rajmohan

CoRR, 2024

Sharingan: Extract User Action Sequence from Desktop Recordings.

Yanting Chen, Yi Ren, Xiaoting Qin, Jue Zhang, Kehong Yuan, Lu Han, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

CoRR, 2024

Token-level Proximal Policy Optimization for Query Generation.

Yichen Ouyang, Lu Wang, Fangkai Yang, Pu Zhao, Chenghua Huang, Jianfeng Liu, Bochen Pang, Yaming Yang, Yuefeng Zhan, Hao Sun, Qingwei Lin, Saravan Rajmohan, Weiwei Deng, Dongmei Zhang, Feng Sun, Qi Zhang

CoRR, 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

AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure.

Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

CoRR, 2024

Turn Every Application into an Agent: Towards Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents.

Junting Lu, Zhiyang Zhang, Fangkai Yang, Jue Zhang, Lu Wang, Chao Du, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

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

AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation.

Mengkang Hu, Pu Zhao, Can Xu, Qingfeng Sun, Jianguang Lou, Qingwei Lin, Ping Luo, Saravan Rajmohan, Dongmei Zhang

CoRR, 2024

The Vision of Autonomic Computing: Can LLMs Make It a Reality?

Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

CoRR, 2024

Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation.

Kaikai An, Fangkai Yang, Liqun Li, Junting Lu, Sitao Cheng, Lu Wang, Pu Zhao, Lele Cao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

CoRR, 2024

An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing.

Hang Dong, Liwen Zhu, Zhao Shan, Bo Qiao, Fangkai Yang, Si Qin, Chuan Luo, Qingwei Lin, Yuwen Yang, Gurpreet Virdi, Saravan Rajmohan, Dongmei Zhang, Thomas Moscibroda

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

Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers.

Rya Sanovar, Srikant Bharadwaj, Renée St. Amant, Victor Rühle, Saravan Rajmohan

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

Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides.

Kaikai An, Fangkai Yang, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Qi Zhang

CoRR, 2024

Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction.

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

CoRR, 2024

Contrastive Learning with Negative Sampling Correction.

Lu Wang, Chao Du, Pu Zhao, Chuan Luo, Zhangchi Zhu, Bo Qiao, Wei Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

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

Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective.

Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin, Haiming Zhang, Jianhui Li, Gaogang Xie

Proceedings of the ACM on Web Conference 2024, 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

SMuCo: Reinforcement Learning for Visual Control via Sequential Multi-view Total Correlation.

Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Thomas Moscibroda

Proceedings of the Uncertainty in Artificial Intelligence, 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

UniLog: Automatic Logging via LLM and In-Context Learning.

Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 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

Xpert: Empowering Incident Management with Query Recommendations via Large Language Models.

Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents.

Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Tianyin Xu

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

EfficientRAG: Efficient Retriever for Multi-Hop Question Answering.

Ziyuan Zhuang, Zhiyang Zhang, Sitao Cheng, Fangkai Yang, Jia Liu, Shujian Huang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction.

Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Rühle

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation.

Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides.

Kaikai An, Fangkai Yang, Junting Lu, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 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 Henrique B. 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

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation.

Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments.

Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection.

Yuhang Chen, Chaoyun Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bowen Li, Shilin He, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proc. VLDB Endow., November, 2023

TaskWeaver: A Code-First Agent Framework.

Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

CoRR, 2023

Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective.

Lukas Wutschitz, Boris Köpf, Andrew Paverd, Saravan Rajmohan, Ahmed Salem, Shruti Tople, Santiago Zanella-Béguelin, Menglin Xia, Victor Rühle

CoRR, 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

Diffusion-based Time Series Data Imputation for Microsoft 365.

Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

CoRR, 2023

Hybrid Retrieval-Augmented Generation for Real-time Composition Assistance.

Xuchao Zhang, Menglin Xia, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Rühle

CoRR, 2023

Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents.

Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

CoRR, 2023

Introspective Tips: Large Language Model for In-Context Decision Making.

Liting Chen, Lu Wang, Hang Dong, Yali Du, Jie Yan, Fangkai Yang, Shuang Li, Pu Zhao, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

CoRR, 2023

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning.

Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the ACM Web Conference 2023, 2023

EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction.

Qingwei Lin, Tianci Li, Pu Zhao, Yudong Liu, Minghua Ma, Lingling Zheng, Murali Chintalapati, Bo Liu, Paul Wang, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem.

Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365.

Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

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

Assess and Summarize: Improve Outage Understanding with Large Language Models.

Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

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

STEAM: Observability-Preserving Trace Sampling.

Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

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

TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems.

Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

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

Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction.

Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback.

Lu Wang, Chaoyun Zhang, Ruomeng Ding, Yong Xu, Qihang Chen, Wentao Zou, Qingjun Chen, Meng Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud.

Haozhe Li, Minghua Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems.

Zhengran Zeng, Yuqun Zhang, Yong Xu, Minghua Ma, Bo Qiao, Wentao Zou, Qingjun Chen, Meng Zhang, Xu Zhang, Hongyu Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

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

Incident-aware Duplicate Ticket Aggregation for Cloud Systems.

Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu

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

CONAN: Diagnosing Batch Failures for Cloud Systems.

Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 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

Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection.

Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering.

Fangkai Yang, Pu Zhao, Zezhong Wang, Lu Wang, Bo Qiao, Jue Zhang, Mohit Garg, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 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

An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection.

Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Michael R. Lyu

ACM SIGOPS Oper. Syst. Rev., 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

UniParser: A Unified Log Parser for Heterogeneous Log Data.

Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach.

Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365.

Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems.

Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification.

Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022