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20242026
most citedAgentRx: Diagnosing AI Agent Failures from Execution Trajectories

2 citations · 2 across the 16 of their papers we have counts for

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6 papers · 1 filter

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…

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) have shown promise in completing complex browser tasks, yet they still struggle with long-horizon workflows. A key bot…

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

AgentRx: Diagnosing AI Agent Failures from Execution Trajectories

Shraddha Barke, Arnav Goyal, Alind Khare +3

AI agents often fail in ways that are difficult to localize because executions are probabilistic, long-horizon, multi-agent, and mediated by noisy tool outputs. We address this gap…

cs.AI2025

Synergistic Weak-Strong Collaboration by Aligning Preferences

Yizhu Jiao, Xuchao Zhang, Zhaoyang Wang +7

Current Large Language Models (LLMs) excel in general reasoning yet struggle with specialized tasks requiring proprietary or domain-specific knowledge. Fine-tuning large models for…

cs.AI2025

AIOpsLab: A Holistic Framework to Evaluate AI Agents for Enabling Autonomous Clouds

Yinfang Chen, Manish Shetty, Gagan Somashekar +6

AI for IT Operations (AIOps) aims to automate complex operational tasks, such as fault localization and root cause analysis, to reduce human workload and minimize customer impact.…