Cover Image

Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Jun, Zhang, Chaoyun, Qian, Jiaxu, Ma, Minghua, Qin, Si, Bansal, Chetan, Lin, Qingwei, Rajmohan, Saravan, Zhang, Dongmei
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large Language Model-Brained GUI Agents: A Survey
by: Zhang, Chaoyun, et al.
Published: (2024)

Text2Grad: Reinforcement Learning from Natural Language Feedback
by: Wang, Hanyang, et al.
Published: (2025)

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
by: Ding, Ruomeng, et al.
Published: (2023)

Can Language Models Go Beyond Coding? Assessing the Capability of Language Models to Build Real-World Systems
by: Zhao, Chenyu, et al.
Published: (2025)

Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective
by: Wang, Zexin, et al.
Published: (2024)

API Agents vs. GUI Agents: Divergence and Convergence
by: Zhang, Chaoyun, et al.
Published: (2025)

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models
by: Zhang, Chaoyun, et al.
Published: (2024)

UFO3: Weaving the Digital Agent Galaxy
by: Zhang, Chaoyun, et al.
Published: (2025)

An Empirical Study of Production Incidents in Generative AI Cloud Services
by: Yan, Haoran, et al.
Published: (2025)

From Reasoning to Answer: Empirical, Attention-Based and Mechanistic Insights into Distilled DeepSeek R1 Models
by: Zhang, Jue, et al.
Published: (2025)

G-KV: Decoding-Time KV Cache Eviction with Global Attention
by: Liao, Mengqi, et al.
Published: (2025)

Zipage: Maintain High Request Concurrency for LLM Reasoning through Compressed PagedAttention
by: Liao, Mengqi, et al.
Published: (2026)

UFO: A UI-Focused Agent for Windows OS Interaction
by: Zhang, Chaoyun, et al.
Published: (2024)

Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic Benchmarks
by: Tan, Rongyuan, et al.
Published: (2026)

Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4
by: Zhang, Xuchao, et al.
Published: (2024)

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
by: Cheng, Sitao, et al.
Published: (2024)

ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation
by: He, Minghua, et al.
Published: (2025)

RuAG: Learned-rule-augmented Generation for Large Language Models
by: Zhang, Yudi, et al.
Published: (2024)

A Benchmark for Language Models in Real-World System Building
by: Jin, Weilin, et al.
Published: (2026)

WebXSkill: Skill Learning for Autonomous Web Agents
by: Wang, Zhaoyang, et al.
Published: (2026)

COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy
by: Wang, Lu, et al.
Published: (2024)

AMPO: Active Multi-Preference Optimization for Self-play Preference Selection
by: Gupta, Taneesh, et al.
Published: (2025)

REFA: Reference Free Alignment for multi-preference optimization
by: Gupta, Taneesh, et al.
Published: (2024)

From Task to Tutorial: An Automated GUI Framework for Excel Tutorial Document and Video Creation
by: Xie, Yuhang, et al.
Published: (2025)

EvidenT: An Evidence-Preserving Framework for Iterative System-Level Package Repair
by: Zhao, Chenyu, et al.
Published: (2026)

Large Action Models: From Inception to Implementation
by: Wang, Lu, et al.
Published: (2024)

StepFly: Agentic Troubleshooting Guide Automation for Incident Diagnosis
by: Mao, Jiayi, et al.
Published: (2025)

VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model
by: Zheng, Jiani, et al.
Published: (2025)

DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems
by: Ma, Ming, et al.
Published: (2025)

LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals
by: Sun, Lihao, et al.
Published: (2026)

MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf
by: Hu, Lingxiang, et al.
Published: (2025)

AutoAdapt: An Automated Domain Adaptation Framework for LLMs
by: Sinha, Sidharth, et al.
Published: (2026)

Multi-Preference Optimization: Generalizing DPO via Set-Level Contrasts
by: Gupta, Taneesh, et al.
Published: (2024)

Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction
by: Li, Haozhe, et al.
Published: (2024)

Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure
by: Zhang, Chaoyun, et al.
Published: (2024)

Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
by: Wang, Shouju, et al.
Published: (2025)

CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents
by: Fu, Wenjie, et al.
Published: (2026)

GUI-360$^\circ$: A Comprehensive Dataset and Benchmark for Computer-Using Agents
by: Mu, Jian, et al.
Published: (2025)

WarriorMath: Enhancing the Mathematical Ability of Large Language Models with a Defect-aware Framework
by: Chen, Yue, et al.
Published: (2025)

Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning
by: Wang, Lu, et al.
Published: (2024)