Daily Arxiv

전 세계에서 발간되는 인공지능 관련 논문을 정리하는 페이지 입니다.
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논문에 대한 저작권은 저자 및 해당 기관에 있으며, 공유 시 출처만 명기하면 됩니다.

Structure Transfer: an Inference-Based Calculus for the Transformation of Representations

Ensemble of Pathology Foundation Models for MIDOG 2025 Track 2: Atypical Mitosis Classification

AudioCodecBench: A Comprehensive Benchmark for Audio Codec Evaluation

Understanding Space Is Rocket Science -- Only Top Reasoning Models Can Solve Spatial Understanding Tasks

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression

Modular Techniques for Synthetic Long-Context Data Generation in Language Model Training and Evaluation

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation

First Order Model-Based RL through Decoupled Backpropagation

Pilot Study on Generative AI and Critical Thinking in Higher Education Classrooms

Beacon: Post-Training Quantization with Integrated Grid Selection

Is Artificial Intelligence Reshaping the Landscape of the International Academic Community of Geosciences?

Vectorized Attention with Learnable Encoding for Quantum Transformer

Transplant Then Regenerate: A New Paradigm for Text Data Augmentation

Depth-Breadth Synergy in RLVR: Unlocking LLM Reasoning Gains with Adaptive Exploration

MultiGen: Child-Friendly Multilingual Speech Generator with LLMs

StreetViewAI: Making Street View Accessible Using Context-Aware Multimodal AI

Street-Level AI: Are Large Language Models Ready for Real-World Judgments?

The KG-ER Conceptual Schema Language

LOTS of Fashion! Multi-Conditioning for Image Generation via Sketch-Text Pairing

Conditional Video Generation for High-Efficiency Video Compression

TriCLIP-3D: A Unified Parameter-Efficient Framework for Tri-Modal 3D Visual Grounding based on CLIP

Demographic-aware fine-grained classification of pediatric wrist fractures

An Analysis of Action-Value Temporal-Difference Methods That Learn State Values

Stochastic Parameter Decomposition

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation

MiniCPM4: Ultra-Efficient LLMs on End Devices

Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling

How Can I Publish My LLM Benchmark Without Giving the True Answers Away?

Optimization of Module Transferability in Single Image Super-Resolution: Universality Assessment and Cycle Residual Blocks

Transferable Mask Transformer: Cross-domain Semantic Segmentation with Region-adaptive Transferability Estimation

RBT4DNN: Requirements-based Testing of Neural Networks

Robust Offline Imitation Learning Through State-level Trajectory Stitching

Beyond holography: the entropic quantum gravity foundations of image processing

KNighter: Transforming Static Analysis with LLM-Synthesized Checkers

FRIDA to the Rescue! Analyzing Synthetic Data Effectiveness in Object-Based Common Sense Reasoning for Disaster Response

CoDiff: Conditional Diffusion Model for Collaborative 3D Object Detection

Rapid Word Learning Through Meta In-Context Learning

Image Embedding Sampling Method for Diverse Captioning

Is an Ultra Large Natural Image-Based Foundation Model Superior to a Retina-Specific Model for Detecting Ocular and Systemic Diseases?

Extended Histogram-based Outlier Score (EHBOS)

A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models

Breaking the Context Bottleneck on Long Time Series Forecasting

Defending LVLMs Against Vision Attacks through Partial-Perception Supervision

ACING: Actor-Critic for Instruction Learning in Black-Box LLMs

Kolb-Based Experiential Learning for Generalist Agents with Human-Level Kaggle Data Science Performance

Quantifying Calibration Error in Neural Networks Through Evidence-Based Theory

Robust training of implicit generative models for multivariate and heavy-tailed distributions with an invariant statistical loss

Learning from 10 Demos: Generalisable and Sample-Efficient Policy Learning with Oriented Affordance Frames

AutoPETIII: The Tracer Frontier. What Frontier?

Long Input Sequence Network for Long Time Series Forecasting

FFHFlow: Diverse and Uncertainty-Aware Dexterous Grasp Generation via Flow Variational Inference

Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers

MTP: A Meaning-Typed Language Abstraction for AI-Integrated Programming

Diffusion on language model encodings for protein sequence generation

Style Transfer to Calvin and Hobbes comics using Stable Diffusion

Autonomation, Not Automation: Activities and Needs of European Fact-checkers as a Basis for Designing Human-Centered AI Systems

Plan Verification for LLM-Based Embodied Task Completion Agents

EigenBench: A Comparative Behavioral Measure of Value Alignment

Oyster-I: Beyond Refusal -- Constructive Safety Alignment for Responsible Language Models

Extending FKG.in: Towards a Food Claim Traceability Network

DeepVIS: Bridging Natural Language and Data Visualization Through Step-wise Reasoning

Theory of Mind Using Active Inference: A Framework for Multi-Agent Cooperation

CP-Bench: Evaluating Large Language Models for Constraint Modelling

Axiomatics of Restricted Choices by Linear Orders of Sets with Minimum as Fallback

DMN-Guided Prompting: A Framework for Controlling LLM Behavior

Computational Basis of LLM's Decision Making in Social Simulation

Science Across Languages: Assessing LLM Multilingual Translation of Scientific Papers

Enhancing FKG.in: automating Indian food composition analysis

WASP: A Weight-Space Approach to Detecting Learned Spuriousness

Transferable Belief Model on Quantum Circuits

PIN: A Knowledge-Intensive Dataset for Paired and Interleaved Multimodal Documents

(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions

Intelligence Primer

ChronoGraph: A Real-World Graph-Based Multivariate Time Series Dataset

Delta Activations: A Representation for Finetuned Large Language Models

DEXOP: A Device for Robotic Transfer of Dexterous Human Manipulation

Towards a Unified View of Large Language Model Post-Training

No Thoughts Just AI: Biased LLM Recommendations Limit Human Agency in Resume Screening

IPA: An Information-Preserving Input Projection Framework for Efficient Foundation Model Adaptation

SSGaussian: Semantic-Aware and Structure-Preserving 3D Style Transfer

Parking Availability Prediction via Fusing Multi-Source Data with A Self-Supervised Learning Enhanced Spatio-Temporal Inverted Transformer

PARCO: Phoneme-Augmented Robust Contextual ASR via Contrastive Entity Disambiguation

AUDETER: A Large-scale Dataset for Deepfake Audio Detection in Open Worlds

From Editor to Dense Geometry Estimator

Decoupled Entity Representation Learning for Pinterest Ads Ranking

Facts Fade Fast: Evaluating Memorization of Outdated Medical Knowledge in Large Language Models

HumAIne-Chatbot: Real-Time Personalized Conversational AI via Reinforcement Learning

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification

An Empirical Study of Vulnerabilities in Python Packages and Their Detection

How many patients could we save with LLM priors?

Learning Active Perception via Self-Evolving Preference Optimization for GUI Grounding

MAGneT: Coordinated Multi-Agent Generation of Synthetic Multi-Turn Mental Health Counseling Sessions

VisioFirm: Cross-Platform AI-assisted Annotation Tool for Computer Vision

Crossing the Species Divide: Transfer Learning from Speech to Animal Sounds

YOLO Ensemble for UAV-based Multispectral Defect Detection in Wind Turbine Components

Attention as an Adaptive Filter

TAGAL: Tabular Data Generation using Agentic LLM Methods

Enhancing Technical Documents Retrieval for RAG

ChronoGraph: A Real-World Graph-Based Multivariate Time Series Dataset

Created by

Haebom

저자

Adrian Catalin Lutu, Ioana Pintilie, Elena Burceanu, Andrei Manolache

개요

ChronoGraph는 실제 운영 중인 마이크로서비스로부터 구축된 그래프 구조의 다변량 시계열 예측 데이터셋입니다. 각 노드는 CPU, 메모리, 네트워크 사용 패턴을 포착하는 시스템 수준 성능 지표의 다변량 스트림을 방출하는 서비스이며, 방향성 에지는 서비스 간의 종속성을 나타냅니다. 주요 과제는 서비스 수준에서 이러한 신호의 미래 값을 예측하는 것입니다. 또한, ChronoGraph는 전문가가 주석을 단 사건 창을 이상 탐지 레이블로 제공하여 이상 탐지 방법의 평가와 운영 중단 시 예측의 강건성 평가를 가능하게 합니다. 산업 제어 시스템 또는 교통 및 대기 질 도메인의 기존 벤치마크와 비교하여 ChronoGraph는 (i) 다변량 시계열, (ii) 명시적이고 기계가 읽을 수 있는 종속성 그래프, (iii) 실제 사건과 일치하는 이상 레이블을 고유하게 결합합니다. 예측 모델, 사전 훈련된 시계열 기반 모델 및 표준 이상 탐지기를 포함하는 기준 결과를 보고합니다. ChronoGraph는 마이크로서비스 시스템에서 구조 인식 예측 및 사건 인식 평가를 연구하기 위한 현실적인 벤치마크를 제공합니다.

시사점, 한계점

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시사점:

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실제 마이크로서비스 환경에서 수집된 다변량 시계열 데이터와 서비스 간의 종속성 정보를 포함하여 현실적인 예측 모델 개발 및 평가가 가능합니다.

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실제 사건에 기반한 이상 탐지 레이블을 제공하여 예측 모델의 강건성을 평가하고 이상 탐지 방법을 연구하는 데 활용할 수 있습니다.

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마이크로서비스 시스템의 구조적 특징을 고려한 예측 및 이상 탐지 연구를 위한 새로운 벤치마크를 제공합니다.

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한계점:

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데이터셋이 특정 마이크로서비스 환경에서 수집되었으므로 일반화 가능성에 대한 검토가 필요합니다.

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제공된 이상 레이블의 정확성 및 신뢰도에 대한 추가적인 분석이 필요할 수 있습니다.

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데이터셋의 규모 및 다양성에 대한 추가적인 확장이 필요할 수 있습니다.

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