T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification. - Pu Zhao 004; Chuan Luo 002; Bo Qiao 001; Lu Wang 029; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (IJCAI, 2022)

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems. - Yudong Liu; Hailan Yang; Pu Zhao 004; Minghua Ma; Chengwu Wen; Hongyu Zhang 002; Chuan Luo 002; Qingwei Lin; Chang Yi; Jiaojian Wang; Chenjian Zhang; Paul Wang; et al. (KDD, 2022)

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365. - Lu Wang 029; Pu Zhao 004; Chao Du; Chuan Luo 002; Mengna Su; Fangkai Yang; Yudong Liu; Qingwei Lin; Min Wang; Yingnong Dang; Hongyu Zhang 002; Saravan Rajmohan; et al. (KDD, 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 001 (KDD, 2022)

UniParser: A Unified Log Parser for Heterogeneous Log Data. - Yudong Liu; Xu Zhang 024; Shilin He; Hongyu Zhang 002; Liqun Li; Yu Kang 006; Yong Xu 010; Minghua Ma; Qingwei Lin; Yingnong Dang; Saravan Rajmohan; Dongmei Zhang 001 (WWW, 2022)

Spot Virtual Machine Eviction Prediction in Microsoft Cloud. - Fangkai Yang; Bowen Pang; Jue Zhang; Bo Qiao 001; Lu Wang 029; Camille Couturier; Chetan Bansal; Soumya Ram; Si Qin; Zhen Ma; Iñigo Goiri; Eli Cortez; et al. (WWW (Companion Volume), 2022)

An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection. - Yichen Li 003; Xu Zhang 024; Shilin He; Zhuangbin Chen; Yu Kang 006; Jinyang Liu 002; Liqun Li; Yingnong Dang; Feng Gao 022; Zhangwei Xu; Saravan Rajmohan; Qingwei Lin; et al. (ACM SIGOPS Oper. Syst. Rev., 2022)

Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs. - Fangkai Yang; Lu Wang 029; Zhenyu Xu; Jue Zhang; Liqun Li; Bo Qiao 001; Camille Couturier; Chetan Bansal; Soumya Ram; Si Qin; Zhen Ma; Íñigo Goiri; et al. (ASPLOS (3), 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; et al. (DSN, 2023)

Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering. - Fangkai Yang; Pu Zhao 004; Zezhong Wang 004; Lu Wang 029; Bo Qiao 001; Jue Zhang; Mohit Garg; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001 (EMNLP (Industry Track), 2023)

Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection. - Xu Zhang 024; Yuan Zhao; Ziang Cui; Liqun Li; Shilin He; Qingwei Lin; Yingnong Dang; Saravan Rajmohan; Dongmei Zhang 001 (ICLR, 2023)

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. - Toufique Ahmed; Supriyo Ghosh; Chetan Bansal; Thomas Zimmermann 001; Xuchao Zhang; Saravan Rajmohan (ICSE, 2023)

CONAN: Diagnosing Batch Failures for Cloud Systems. - Liqun Li; Xu Zhang 024; Shilin He; Yu Kang 006; Hongyu Zhang 002; Minghua Ma; Yingnong Dang; Zhangwei Xu; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ICSE-SEIP, 2023)

Incident-aware Duplicate Ticket Aggregation for Cloud Systems. - Jinyang Liu 002; Shilin He; Zhuangbin Chen; Liqun Li; Yu Kang 006; Xu Zhang 024; Pinjia He; Hongyu Zhang 002; Qingwei Lin; Zhangwei Xu; Saravan Rajmohan; Dongmei Zhang 001; et al. (ICSE, 2023)

TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems. - Zhengran Zeng; Yuqun Zhang; Yong Xu 010; Minghua Ma; Bo Qiao 001; Wentao Zou; Qingjun Chen; Meng Zhang 025; Xu Zhang 024; Hongyu Zhang 002; Xuedong Gao; Hao Fan; et al. (ICSE-SEIP, 2023)

CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud. - Haozhe Li; Minghua Ma; Yudong Liu; Si Qin; Bo Qiao 001; Randolph Yao; Harshwardhan Chaturvedi; Tri Tran; Murali Chintalapati; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ISSRE, 2023)

Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback. - Lu Wang 029; Chaoyun Zhang; Ruomeng Ding; Yong Xu 010; Qihang Chen; Wentao Zou; Qingjun Chen; Meng Zhang 025; Xuedong Gao; Hao Fan; Saravan Rajmohan; Qingwei Lin; et al. (KDD, 2023)

Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. - Zhangchi Zhu; Lu Wang 029; Pu Zhao 004; Chao Du; Wei Zhang 056; Hang Dong 004; Bo Qiao 001; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001 (KDD, 2023)

TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems. - Ruomeng Ding; Chaoyun Zhang; Lu Wang 029; Yong Xu 010; Minghua Ma; Xiaomin Wu; Meng Zhang 025; Qingjun Chen; Xin Gao; Xuedong Gao; Hao Fan; Saravan Rajmohan; et al. (ESEC/SIGSOFT FSE, 2023)

STEAM: Observability-Preserving Trace Sampling. - Shilin He; Botao Feng; Liqun Li; Xu Zhang 024; Yu Kang 006; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001 (ESEC/SIGSOFT FSE, 2023)

Assess and Summarize: Improve Outage Understanding with Large Language Models. - Pengxiang Jin; Shenglin Zhang; Minghua Ma; Haozhe Li; Yu Kang 006; Liqun Li; Yudong Liu; Bo Qiao 001; Chaoyun Zhang; Pu Zhao 004; Shilin He; Federica Sarro; et al. (ESEC/SIGSOFT FSE, 2023)

Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365. - Fangkai Yang; Wenjie Yin; Lu Wang 029; Tianci Li; Pu Zhao 004; Bo Liu; Paul Wang; Bo Qiao 001; Yudong Liu; Mårten Björkman; Saravan Rajmohan; Qingwei Lin; et al. (ESEC/SIGSOFT FSE, 2023)

Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem. - Tong Cheng; Hang Dong 004; Lu Wang 029; Bo Qiao 001; Si Qin; Qingwei Lin; Dongmei Zhang 001; Saravan Rajmohan; Thomas Moscibroda (WWW (Companion Volume), 2023)

EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction. - Qingwei Lin; Tianci Li; Pu Zhao 004; Yudong Liu; Minghua Ma; Lingling Zheng; Murali Chintalapati; Bo Liu; Paul Wang; Hongyu Zhang 002; Yingnong Dang; Saravan Rajmohan; et al. (WWW (Companion Volume), 2023)

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. - Junjie Sheng; Lu Wang 029; Fangkai Yang; Bo Qiao 001; Hang Dong 004; Xiangfeng Wang; Bo Jin 003; Jun Wang 006; Si Qin; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (WWW, 2023)

Introspective Tips: Large Language Model for In-Context Decision Making. - Liting Chen; Lu Wang 029; Hang Dong 004; Yali Du 001; Jie Yan; Fangkai Yang; Shuang Li 002; Pu Zhao 004; Si Qin; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (CoRR, 2023)

Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents. - Yinfang Chen; Huaibing Xie; Minghua Ma; Yu Kang 006; Xin Gao; Liu Shi; Yunjie Cao; Xuedong Gao; Hao Fan; Ming Wen 001; Jun Zeng 006; Supriyo Ghosh; et al. (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)

Diffusion-based Time Series Data Imputation for Microsoft 365. - Fangkai Yang; Wenjie Yin; Lu Wang 029; Tianci Li; Pu Zhao 004; Bo Liu; Paul Wang; Bo Qiao 001; Yudong Liu; Mårten Björkman; Saravan Rajmohan; Qingwei Lin; et al. (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)

Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective. - Lukas Wutschitz; Boris Köpf; Andrew Paverd; Saravan Rajmohan; Ahmed Salem 001; Shruti Tople; Santiago Zanella-Béguelin; Menglin Xia; Victor Rühle (CoRR, 2023)

TaskWeaver: A Code-First Agent Framework. - Bo Qiao 001; Liqun Li; Xu Zhang 024; Shilin He; Yu Kang 006; Chaoyun Zhang; Fangkai Yang; Hang Dong 004; Jue Zhang; Lu Wang 029; Minghua Ma; Pu Zhao 004; et al. (CoRR, 2023)

ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection. - Yuhang Chen; Chaoyun Zhang; Minghua Ma; Yudong Liu; Ruomeng Ding; Bowen Li 002; Shilin He; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (Proc. VLDB Endow., 2023)

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments. - Sitao Cheng; Ziyuan Zhuang; Yong Xu 010; Fangkai Yang; Chaoyun Zhang; Xiaoting Qin; Xiang Huang 007; Ling Chen; Qingwei Lin; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (ACL (Findings), 2024)

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. - Ruomeng Ding; Chaoyun Zhang; Lu Wang 029; Yong Xu 010; Minghua Ma; Wei Zhang 056; Si Qin; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ACL (Findings), 2024)

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty. - Lu Wang 029; Mayukh Das; Fangkai Yang; Chao Du; Bo Qiao 001; Hang Dong 004; Chetan Bansal; Si Qin; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001; Qi Zhang 066 (CIKM, 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; et al. (SoCC, 2024)

Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. - Kaikai An; Fangkai Yang; Junting Lu; Liqun Li; Zhixing Ren; Hao Huang; Lu Wang 029; Pu Zhao 004; Yu Kang 006; Hua Ding; Qingwei Lin; Saravan Rajmohan; et al. (ECAI, 2024)

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation. - Jia Fu; Xiaoting Qin; Fangkai Yang; Lu Wang 029; Jue Zhang; Qingwei Lin; Yubo Chen 001; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (EMNLP (Findings), 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 (EMNLP (Industry Track), 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 001; Qi Zhang 066 (EMNLP, 2024)

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents. - Yinfang Chen; Huaibing Xie; Minghua Ma; Yu Kang 006; Xin Gao; Liu Shi; Yunjie Cao; Xuedong Gao; Hao Fan; Ming Wen 001; Jun Zeng 006; Supriyo Ghosh; et al. (EuroSys, 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 006; Yingnong Dang; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ICSE, 2024)

Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach. - Pooja Srinivas; Fiza Husain; Anjaly Parayil; Ayush Choure; Chetan Bansal; Saravan Rajmohan (ICSE-SEIP, 2024)

UniLog: Automatic Logging via LLM and In-Context Learning. - Junjielong Xu; Ziang Cui; Yuan Zhao; Xu Zhang 024; Shilin He; Pinjia He; Liqun Li; Yu Kang 006; Qingwei Lin; Yingnong Dang; Saravan Rajmohan; Dongmei Zhang 001 (ICSE, 2024)

Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning. - Haozhe Li; Minghua Ma; Yudong Liu; Pu Zhao 004; Shuo Li 013; Ze Li 005; Murali Chintalapati; Yingnong Dang; Chetan Bansal; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ISSRE, 2024)

Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction. - Yudong Liu; Minghua Ma; Pu Zhao 004; Tianci Li; Bo Qiao 001; Shuo Li 013; Ze Li 005; Murali Chintalapati; Yingnong Dang; Chetan Bansal; Saravan Rajmohan; Qingwei Lin; et al. (ISSRE (Workshops), 2024)

Large Language Models Can Provide Accurate and Interpretable Incident Triage. - Zexin Wang; Jianhui Li; Minghua Ma; Ze Li 005; Yu Kang 006; Chaoyun Zhang; Chetan Bansal; Murali Chintalapati; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001; Changhua Pei; et al. (ISSRE, 2024)

Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer. - Zhaoyang Yu; Changhua Pei; Xin Wang 001; Minghua Ma; Chetan Bansal; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001; Xidao Wen; Jianhui Li; Gaogang Xie; Dan Pei (KDD, 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 (SIGSOFT FSE Companion, 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 (SIGSOFT FSE Companion, 2024)

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models. - Zhaoyang Yu; Minghua Ma; Chaoyun Zhang; Si Qin; Yu Kang 006; Chetan Bansal; Saravan Rajmohan; Yingnong Dang; Changhua Pei; Dan Pei; Qingwei Lin; Dongmei Zhang 001 (SIGSOFT FSE Companion, 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 006; Saravan Rajmohan (SIGSOFT FSE Companion, 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 (SIGSOFT FSE Companion, 2024)

SMuCo: Reinforcement Learning for Visual Control via Sequential Multi-view Total Correlation. - Tong Cheng; Hang Dong 004; Lu Wang 029; Bo Qiao 001; Qingwei Lin; Saravan Rajmohan; Thomas Moscibroda (UAI, 2024)

Dependency Aware Incident Linking in Large Cloud Systems. - Supriyo Ghosh; Karish Grover; Jimmy Wong; Chetan Bansal; Rakesh Namineni; Mohit Verma; Saravan Rajmohan (WWW (Companion Volume), 2024)

Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective. - Zexin Wang; Changhua Pei; Minghua Ma; Xin Wang 001; Zhihan Li; Dan Pei; Saravan Rajmohan; Dongmei Zhang 001; Qingwei Lin; Haiming Zhang 002; Jianhui Li; Gaogang Xie (WWW, 2024)

Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning. - Lu Wang 029; Mayukh Das; Fangkai Yang; Junjie Sheng; Bo Qiao 001; Hang Dong 004; Si Qin; Victor Rühle; Chetan Bansal; Eli Cortez; Íñigo Goiri; Saravan Rajmohan; et al. (CoRR, 2024)

COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy. - Lu Wang 029; Mayukh Das; Fangkai Yang; Chao Du; Bo Qiao 001; Hang Dong 004; Si Qin; Chetan Bansal; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (CoRR, 2024)

Contrastive Learning with Negative Sampling Correction. - Lu Wang 029; Chao Du; Pu Zhao 004; Chuan Luo 002; Zhangchi Zhu; Bo Qiao 001; Wei Zhang 056; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (CoRR, 2024)

Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction. - Haozhe Li; Minghua Ma; Yudong Liu; Pu Zhao 004; Lingling Zheng; Ze Li 005; Yingnong Dang; Murali Chintalapati; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (CoRR, 2024)

Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. - Kaikai An; Fangkai Yang; Liqun Li; Zhixing Ren; Hao Huang; Lu Wang 029; Pu Zhao 004; Yu Kang 006; Hua Ding; Qingwei Lin; Saravan Rajmohan; Qi Zhang 066 (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; et al. (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)

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 001 (CoRR, 2024)

An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing. - Hang Dong 004; Liwen Zhu 003; Zhao Shan; Bo Qiao 001; Fangkai Yang; Si Qin; Chuan Luo 002; Qingwei Lin; Yuwen Yang; Gurpreet Virdi; Saravan Rajmohan; Dongmei Zhang 001; et al. (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 029; Pu Zhao 004; Lele Cao; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (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 001; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (CoRR, 2024)

AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation. - Mengkang Hu; Pu Zhao 004; Can Xu; Qingfeng Sun; Jianguang Lou; Qingwei Lin; Ping Luo 002; Saravan Rajmohan; Dongmei Zhang 001 (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; et al. (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 029; Chao Du; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (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 001; Qi Zhang 066 (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)

Token-level Proximal Policy Optimization for Query Generation. - Yichen Ouyang; Lu Wang 029; Fangkai Yang; Pu Zhao 004; Chenghua Huang; Jianfeng Liu; Bochen Pang; Yaming Yang 001; Yuefeng Zhan; Hao Sun 015; Qingwei Lin; Saravan Rajmohan; et al. (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 001; Saravan Rajmohan; Qi Zhang 066 (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 001; Ali Raza Butt; et al. (CoRR, 2024)

SWEPO: Simultaneous Weighted Preference Optimization for Group Contrastive Alignment. - Taneesh Gupta; Rahul Madhavan; Xuchao Zhang; Chetan Bansal; Saravan Rajmohan (CoRR, 2024)

TurboAttention: Efficient Attention Approximation For High Throughputs LLMs. - Hao Kang; Srikant Bharadwaj; James Hensman; Tushar Krishna; Victor Rühle; Saravan Rajmohan (CoRR, 2024)

Large Action Models: From Inception to Implementation. - Lu Wang 029; Fangkai Yang; Chaoyun Zhang; Junting Lu; Jiaxu Qian; Shilin He; Pu Zhao 004; Bo Qiao 001; Ray Huang; Si Qin; Qisheng Su; Jiayi Ye; et al. (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 007; Gaopeng Gou; Gang Xiong 001; Qingwei Ling; Saravan Rajmohan; Dongmei Zhang 001; Qi Wu 001 (CoRR, 2024)

REFA: Reference Free Alignment for multi-preference optimization. - Taneesh Gupta; Rahul Madhavan; Xuchao Zhang; Chetan Bansal; Saravan Rajmohan (CoRR, 2024)

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models. - Huawen Feng; Pu Zhao 004; Qingfeng Sun; Can Xu; Fangkai Yang; Lu Wang 029; Qianli Ma 001; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (ACL (1), 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 (ACL (Findings), 2025)

Synergistic Weak-Strong Collaboration by Aligning Preferences. - Yizhu Jiao; Xuchao Zhang; Zhaoyang Wang 004; Yubo Ma; Zhun Deng; Rujia Wang; Chetan Bansal; Saravan Rajmohan; Jiawei Han 001; Huaxiu Yao (ACL (1), 2025)

AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents. - Junting Lu; Zhiyang Zhang; Fangkai Yang; Jue Zhang; Lu Wang 029; Chao Du; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (ACL (1), 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 (ACL (Findings), 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 006; Bowen Li 002; Jiaheng Wen; Chengxing Xie; Maoquan Wang; Yufan Huang; Elsie Nallipogu; Qingwei Lin; et al. (ACL (Findings), 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; et al. (ASPLOS (1), 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 007; Gaopeng Gou; Gang Xiong 001; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Wu 001 (CVPR, 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; et al. (EuroMLSys, 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 006; Yuyi Liang; Xiaoyu Gou; Yajie Xue; Qingwei Lin; et al. (ICDE, 2025)

RuAG: Learned-rule-augmented Generation for Large Language Models. - Yudi Zhang 007; Pei Xiao 007; Lu Wang 029; Chaoyun Zhang; Meng Fang; Yali Du 001; Yevgeniy Puzyrev; Randolph Yao; Si Qin; Qingwei Lin; Mykola Pechenizkiy; Dongmei Zhang 001; et al. (ICLR, 2025)

Self-Evolved Reward Learning for LLMS. - Chenghua Huang; Zhizhen Fan; Lu Wang 029; Fangkai Yang; Pu Zhao 004; Zeqi Lin; Qingwei Lin; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (ICLR, 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 021; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (IUI, 2025)

AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation. - Mengkang Hu; Pu Zhao 004; Can Xu; Qingfeng Sun; Jian-Guang Lou; Qingwei Lin; Ping Luo 002; Saravan Rajmohan (KDD (1), 2025)

UFO: A UI-Focused Agent for Windows OS Interaction. - Chaoyun Zhang; Liqun Li; Shilin He; Xu Zhang 024; Bo Qiao 001; Si Qin; Minghua Ma; Yu Kang 006; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (NAACL (Long Papers), 2025)

Te-PID: An Adaptive Erasure Coding Temperature Management System for Optimized Cloud Storage. - Pei Xiao 007; Lu Wang 029; Fangkai Yang; Guoqing Geng; Haoran Li; Jeff Zhu; Yu Kang 006; Yifan Li; Terry Chen; Yue Chen; Saravan Rajmohan; Qi Zhang 066 (SIGSOFT FSE Companion, 2025)

Large Action Models: From Inception to Implementation. - Lu Wang 029; Fangkai Yang; Chaoyun Zhang; Junting Lu; Jiaxu Qian; Shilin He; Pu Zhao 004; Bo Qiao 001; He Huang; Si Qin; Qisheng Su; Jiayi Ye; et al. (Trans. Mach. Learn. Res., 2025)

Large Language Model-Brained GUI Agents: A Survey. - Chaoyun Zhang; Shilin He; Jiaxu Qian; Bowen Li 002; Liqun Li; Si Qin; Yu Kang 006; Minghua Ma; Guyue Liu; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; et al. (Trans. Mach. Learn. Res., 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, 2025)

Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation. - Xing Zhang; Jiaheng Wen; Fangkai Yang; Pu Zhao 004; Yu Kang 006; Junhao Wang; Maoquan Wang; Yufan Huang; Elsie Nallipogu; Qingwei Lin; Yingnong Dang; Saravan Rajmohan; et al. (CoRR, 2025)

ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation. - Minghua He; Fangkai Yang; Pu Zhao 004; Wenjie Yin; Yu Kang 006; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (CoRR, 2025)

Enabling Autonomic Microservice Management through Self-Learning Agents. - Fenglin Yu; Fangkai Yang; Xiaoting Qin; Zhiyang Zhang; Jue Zhang; Qingwei Lin; Hongyu Zhang 002; Yingnong Dang; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (CoRR, 2025)

Minerva: A Programmable Memory Test Benchmark for Language Models. - Menglin Xia; Victor Rühle; Saravan Rajmohan; Reza Shokri (CoRR, 2025)

MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf. - Lingxiang Hu; Shurun Yuan; Xiaoting Qin; Jue Zhang; Qingwei Lin; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (CoRR, 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, 2025)

Lean and Mean: Decoupled Value Policy Optimization with Global Value Guidance. - Chenghua Huang; Lu Wang 029; Fangkai Yang; Pu Zhao 004; Zhixu Li; Qingwei Lin; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (CoRR, 2025)

AMPO: Active Multi-Preference Optimization. - Taneesh Gupta; Rahul Madhavan; Xuchao Zhang; Chetan Bansal; Saravan Rajmohan (CoRR, 2025)

VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model. - Jiani Zheng; Lu Wang 029; Fangkai Yang; Chaoyun Zhang; Lingrui Mei; Wenjie Yin; Qingwei Lin; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (CoRR, 2025)

Distill Not Only Data but Also Rewards: Can Smaller Language Models Surpass Larger Ones? - Yudi Zhang 007; Lu Wang 029; Meng Fang; Yali Du 001; Chenghua Huang; Jun Wang; Qingwei Lin; Mykola Pechenizkiy; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (CoRR, 2025)

An Empirical Study of Production Incidents in Generative AI Cloud Services. - Haoran Yan; Yinfang Chen; Minghua Ma; Ming Wen 001; Shan Lu 001; Shenglin Zhang; Tianyin Xu; Rujia Wang; Chetan Bansal; Saravan Rajmohan; Chaoyun Zhang; Dongmei Zhang 001 (CoRR, 2025)

eARCO: Efficient Automated Root Cause Analysis with Prompt Optimization. - Drishti Goel; Raghav Magazine; Supriyo Ghosh; Akshay Nambi 001; Prathamesh Deshpande; Xuchao Zhang; Chetan Bansal; Saravan Rajmohan (CoRR, 2025)

UFO2: The Desktop AgentOS. - Chaoyun Zhang; He Huang; Chiming Ni; Jian Mu; Si Qin; Shilin He; Lu Wang 029; Fangkai Yang; Pu Zhao 004; Chao Du; Liqun Li; Yu Kang 006; et al. (CoRR, 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, 2025)

Zoomer: Adaptive Image Focus Optimization for Black-box MLLM. - Jiaxu Qian; Chendong Wang; Yifan Yang 004; Chaoyun Zhang; Huiqiang Jiang; Xufang Luo; Yu Kang 006; Qingwei Lin; Anlan Zhang; Shiqi Jiang; Ting Cao; Tianjun Mao; et al. (CoRR, 2025)

Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models. - Camille Couturier; Spyros Mastorakis; Haiying Shen; Saravan Rajmohan; Victor Rühle (CoRR, 2025)

Text2Grad: Reinforcement Learning from Natural Language Feedback. - Hanyang Wang; Lu Wang 029; Chaoyun Zhang; Tianjun Mao; Si Qin; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001 (CoRR, 2025)

SWE-bench Goes Live! - Linghao Zhang; Shilin He; Chaoyun Zhang; Yu Kang 006; Bowen Li 002; Chengxing Xie; Junhao Wang; Maoquan Wang; Yufan Huang; Shengyu Fu; Elsie Nallipogu; Qingwei Lin; et al. (CoRR, 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, 2025)

WarriorMath: Enhancing the Mathematical Ability of Large Language Models with a Defect-aware Framework. - Yue Chen; Minghua He; Fangkai Yang; Pu Zhao 004; Lu Wang 029; Yu Kang 006; Yifei Dong; Yuefeng Zhan; Hao Sun 015; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001 (CoRR, 2025)

AdaptFlow: Adaptive Workflow Optimization via Meta-Learning. - Runchuan Zhu; Bowen Jiang; Lingrui Mei; Fangkai Yang; Lu Wang 029; Haoxiang Gao; Fengshuo Bai; Pu Zhao 004; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001 (CoRR, 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, 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; et al. (Nat., 2025)