Cover Image

ORCA: An End-to-End Interactive Copilot for Optimized Root Cause Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xuan, Phi Nguyen, Tagliapietra, Nicholas, Halilaj, Lavdim, Kersting, Kristian, Luettin, Juergen
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SocialFormer: Social Interaction Modeling with Edge-enhanced Heterogeneous Graph Transformers for Trajectory Prediction
by: Wang, Zixu, et al.
Published: (2024)

CausalMan: A physics-based simulator for large-scale causality
by: Tagliapietra, Nicholas, et al.
Published: (2025)

SemanticFormer: Holistic and Semantic Traffic Scene Representation for Trajectory Prediction using Knowledge Graphs
by: Sun, Zhigang, et al.
Published: (2024)

nuScenes Knowledge Graph -- A comprehensive semantic representation of traffic scenes for trajectory prediction
by: Mlodzian, Leon, et al.
Published: (2023)

Hyperparameter Optimization via Interacting with Probabilistic Circuits
by: Seng, Jonas, et al.
Published: (2025)

Enhancing Manufacturing Knowledge Access with LLMs and Context-aware Prompting
by: Monka, Sebastian, et al.
Published: (2025)

Meta-Harness: End-to-End Optimization of Model Harnesses
by: Lee, Yoonho, et al.
Published: (2026)

Causal Explanations Over Time: Articulated Reasoning for Interactive Environments
by: Rödling, Sebastian, et al.
Published: (2025)

End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty
by: Dinh, My H, et al.
Published: (2024)

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

EndToEndML: An Open-Source End-to-End Pipeline for Machine Learning Applications
by: Pillai, Nisha, et al.
Published: (2024)

Learning from Less: Guiding Deep Reinforcement Learning with Differentiable Symbolic Planning
by: Ye, Zihan, et al.
Published: (2025)

Interpretable end-to-end Neurosymbolic Reinforcement Learning agents
by: Grandien, Nils, et al.
Published: (2024)

Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
by: Braun, Dan, et al.
Published: (2024)

Causal Graph Learning via Distributional Invariance of Cause-Effect Relationship
by: Nguyen, Nang Hung, et al.
Published: (2026)

Causal Structure Learning for Dynamical Systems with Theoretical Score Analysis
by: Tagliapietra, Nicholas, et al.
Published: (2025)

Bridging the Divide: End-to-End Sequence-Graph Learning
by: Chen, Yuen, et al.
Published: (2025)

End-to-End Optimization and Learning of Fair Court Schedules
by: Dinh, My H, et al.
Published: (2024)

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

Evolving-RL: End-to-End Optimization of Experience-Driven Self-Evolving Capability within Agents
by: Fan, Zhiyuan, et al.
Published: (2026)

J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization
by: Xu, Austin, et al.
Published: (2025)

EvaDrive: Evolutionary Adversarial Policy Optimization for End-to-End Autonomous Driving
by: Jiao, Siwen, et al.
Published: (2025)

Reinforced Reasoning for End-to-End Retrosynthetic Planning
by: Zuo, Chenyang, et al.
Published: (2026)

Constraint-Informed Active Learning for End-to-End ACOPF Optimization Proxies
by: Li, Miao, et al.
Published: (2025)

An Open-source End-to-End Logic Optimization Framework for Large-scale Boolean Network with Reinforcement Learning
by: Li, Zhen, et al.
Published: (2024)

Deep Classifier Mimicry without Data Access
by: Braun, Steven, et al.
Published: (2023)

Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents
by: Wang, Haochen, et al.
Published: (2026)

OptiProxy-NAS: Optimization Proxy based End-to-End Neural Architecture Search
by: Lyu, Bo, et al.
Published: (2025)

Score-based Integrated Gradient for Root Cause Explanations of Outliers
by: Nguyen, Phuoc, et al.
Published: (2026)

End-to-End Optimized Image Compression with the Frequency-Oriented Transform
by: Zhang, Yuefeng, et al.
Published: (2024)

End-to-End Evaluation for Low-Latency Simultaneous Speech Translation
by: Huber, Christian, et al.
Published: (2023)

Rethinking Cross-Modal Fine-Tuning: Optimizing the Interaction Between Feature Alignment and Target Fitting
by: Tran, Trong Khiem, et al.
Published: (2026)

The End of Manual Decoding: Towards Truly End-to-End Language Models
by: Wang, Zhichao, et al.
Published: (2025)

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

Representation Matters for Mastering Chess: Improved Feature Representation in AlphaZero Outperforms Switching to Transformers
by: Czech, Johannes, et al.
Published: (2023)

AgenticRec: End-to-End Tool-Integrated Policy Optimization for Ranking-Oriented Recommender Agents
by: Li, Tianyi, et al.
Published: (2026)

End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations
by: Luo, Lirui, et al.
Published: (2024)

Learning to Communicate: Toward End-to-End Optimization of Multi-Agent Language Systems
by: Yu, Ye, et al.
Published: (2026)

BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning
by: Pan, Jianming, et al.
Published: (2024)

SciClaims: An End-to-End Generative System for Biomedical Claim Analysis
by: Ortega, Raúl, et al.
Published: (2025)