:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhou, Liming, Liu, Ailing, Liu, Hongwei, He, Min, Zhang, Heng
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2602.08804
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MicroRCA-Agent: Microservice Root Cause Analysis Method Based on Large Language Model Agents
by: Tang, Pan, et al.
Published: (2025)

GALA: Can Graph-Augmented Large Language Model Agentic Workflows Elevate Root Cause Analysis?
by: Tian, Yifang, et al.
Published: (2025)

Reasoning Language Models for Root Cause Analysis in 5G Wireless Networks
by: Sana, Mohamed, et al.
Published: (2025)

Hypergraph and Latent ODE Learning for Multimodal Root Cause Localization in Microservices
by: Liu, Xin, et al.
Published: (2026)

A Goal-Driven Survey on Root Cause Analysis
by: Fang, Aoyang, et al.
Published: (2025)

LLM-Augmented Knowledge Base Construction For Root Cause Analysis
by: Tran, Nguyen Phuc, et al.
Published: (2026)

Hypothesize-Then-Verify: Speculative Root Cause Analysis for Microservices with Pathwise Parallelism
by: Zhang, Lingzhe, et al.
Published: (2026)

Gradient Residual Connections
by: Pan, Yangchen, et al.
Published: (2026)

PORCA: Root Cause Analysis with Partially Observed Data
by: Gong, Chang, et al.
Published: (2024)

Residual Stream Analysis of Overfitting And Structural Disruptions
by: Liu, Quan, et al.
Published: (2026)

Root-KGD: A Novel Framework for Root Cause Diagnosis Based on Knowledge Graph and Industrial Data
by: Chen, Jiyu, et al.
Published: (2024)

Automated Root Cause Analysis System for Complex Data Products
by: Demarne, Mathieu, et al.
Published: (2024)

Explainable AI for Correct Root Cause Analysis of Product Quality in Injection Moulding
by: Muaz, Muhammad, et al.
Published: (2025)

An Empirical Analysis on Large Language Models in Debate Evaluation
by: Liu, Xinyi, et al.
Published: (2024)

Automating Quantum Software Maintenance: Flakiness Detection and Root Cause Analysis
by: Sivaloganathan, Janakan, et al.
Published: (2024)

Simplifying Root Cause Analysis in Kubernetes with StateGraph and LLM
by: Xiang, Yong, et al.
Published: (2025)

ORCA: An End-to-End Interactive Copilot for Optimized Root Cause Analysis
by: Xuan, Phi Nguyen, et al.
Published: (2026)

LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis
by: Zheng, Lecheng, et al.
Published: (2024)

Automating Detection and Root-Cause Analysis of Flaky Tests in Quantum Software
by: Sivaloganathan, Janakan, et al.
Published: (2026)

A Hybrid Framework for Subject Analysis: Integrating Embedding-Based Regression Models with Large Language Models
by: Liu, Jinyu, et al.
Published: (2025)

Agentic Memory Enhanced Recursive Reasoning for Root Cause Localization in Microservices
by: Zhang, Lingzhe, et al.
Published: (2026)

StrucText-Eval: Evaluating Large Language Model's Reasoning Ability in Structure-Rich Text
by: Gu, Zhouhong, et al.
Published: (2024)

Towards LLM-based Root Cause Analysis of Hardware Design Failures
by: Qiu, Siyu, et al.
Published: (2025)

Adaptive Root Cause Localization for Microservice Systems with Multi-Agent Recursion-of-Thought
by: Zhang, Lingzhe, et al.
Published: (2025)

PRAXIS: Integrating Program Analysis with Observability for Root-Cause Analysis
by: Cui, Shengkun, et al.
Published: (2025)

A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models
by: Lin, Qika, et al.
Published: (2025)

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought
by: Zhang, Lingzhe, et al.
Published: (2026)

Testing Large Language Models on Driving Theory Knowledge and Skills for Connected Autonomous Vehicles
by: Tang, Zuoyin, et al.
Published: (2024)

D-QRELO: Training- and Data-Free Delta Compression for Large Language Models via Quantization and Residual Low-Rank Approximation
by: Li, Junlin, et al.
Published: (2026)

An Interpretable and Scalable Framework for Evaluating Large Language Models
by: Qu, Xinhao, et al.
Published: (2026)

Sycophancy in Large Language Models: Causes and Mitigations
by: Malmqvist, Lars
Published: (2024)

Instruction-Driven Game Engines on Large Language Models
by: Wu, Hongqiu, et al.
Published: (2024)

Scaling Causal Mediation for Complex Systems: A Framework for Root Cause Analysis
by: Casadei, Alessandro, et al.
Published: (2025)

Residual Decoding: Mitigating Hallucinations in Large Vision-Language Models via History-Aware Residual Guidance
by: Chen, Xinrong, et al.
Published: (2026)

KGroot: Enhancing Root Cause Analysis through Knowledge Graphs and Graph Convolutional Neural Networks
by: Wang, Tingting, et al.
Published: (2024)

Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completion
by: Liu, Ben, et al.
Published: (2024)

Understanding Chain-of-Thought in Large Language Models via Topological Data Analysis
by: Li, Chenghao, et al.
Published: (2025)

Residual Context Diffusion Language Models
by: Hu, Yuezhou, et al.
Published: (2026)

Residual Connections and the Causal Shift: Uncovering a Structural Misalignment in Transformers
by: Lys, Jonathan, et al.
Published: (2026)

ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph
by: Liu, Xukun, et al.
Published: (2024)