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From the 1 of 36 linked papers with an AI index.

most citedStepFly: Agentic Troubleshooting Guide Automation for Incident Diagnosis

1 citations · 2 across the 11 of their papers we have counts for

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cs.AI2026

AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces

Sungho Park, Wonjoong Kim, Rongyuan Tan +10

LLM agents remain unreliable on long-horizon tasks, where small local failures can compound over extended interactions and lead to overall task failure. Although external harnesses…

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.AI20261 cited

ACON: Optimizing Context Compression for Long-horizon LLM Agents

Minki Kang, Wei-Ning Chen, Dongge Han +5

Large language models (LLMs) are increasingly deployed as agents in dynamic real-world environments, where success depends on maintaining precise records of actions and observation…

cs.AI20261 cited

StepFly: Agentic Troubleshooting Guide Automation for Incident Diagnosis

Jiayi Mao, Liqun Li, Yanjie Gao +9

Effective incident management in large-scale IT systems relies on troubleshooting guides (TSGs), but their manual execution is slow and error-prone. While recent advances in LLMs o…

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.AI2025

Simulating Environments with Reasoning Models for Agent Training

Yuetai Li, Huseyin A Inan, Xiang Yue +6

LLM agents excel in compact environments requiring deep reasoning but remain brittle when operating in broader, more complex contexts that demand robustness across diverse tools an…