activity
20202026
most citedBuilding AI Agents for Autonomous Clouds: Challenges and Design Principles

3 citations · 13 across the 26 of their papers we have counts for

collaborators

36 papers

cs.AI2026

ActionNex: A Virtual Outage Manager for Cloud Computing

Zhenfeng Lin, Haoji Hu, Ming Hao +11

Outage management in large-scale cloud operations remains heavily manual, requiring rapid triage, cross-team coordination, and experience-driven decisions under partial observabili…

cs.AI2026

WebXSkill: Skill Learning for Autonomous Web Agents

Zhaoyang Wang, Qianhui Wu, Xuchao Zhang +12

Autonomous web agents powered by large language models (LLMs) remain brittle on long-horizon browser workflows. A key bottleneck is a grounding gap in existing skill formulations:…

cs.LG2026

AutoAdapt: An Automated Domain Adaptation Framework for LLMs

Sidharth Sinha, Anson Bastos, Xuchao Zhang +3

Large language models (LLMs) excel in open domains but struggle in specialized settings with limited data and evolving knowledge. Existing domain adaptation practices rely heavily…

cs.LG2026

Provable and Practical In-Context Policy Optimization for Self-Improvement

Tianrun Yu, Yuxiao Yang, Zhaoyang Wang +6

We study test-time scaling, where a model improves its answer through multi-round self-reflection at inference. We introduce In-Context Policy Optimization (ICPO), in which an agen…

cs.CL2026

Budget-Aware Agentic Routing via Boundary-Guided Training

Caiqi Zhang, Menglin Xia, Xuchao Zhang +5

As large language models (LLMs) evolve into autonomous agents that execute long-horizon workflows, invoking a high-capability model at every step becomes economically unsustainable…

cs.AI2026

Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity

Menglin Xia, Xuchao Zhang, Shantanu Dixit +6

Agent memory systems must accommodate continuously growing information while supporting efficient, context-aware retrieval for downstream tasks. Abstraction is essential for scalin…