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Daily Arxiv

전 세계에서 발간되는 인공지능 관련 논문을 정리하는 페이지 입니다.
본 페이지는 Google Gemini를 활용해 요약 정리하며, 비영리로 운영 됩니다.
논문에 대한 저작권은 저자 및 해당 기관에 있으며, 공유 시 출처만 명기하면 됩니다.

EarthCrafter: Scalable 3D Earth Generation via Dual-Sparse Latent Diffusion

SFNet: A Spatial-Frequency Domain Deep Learning Network for Efficient Alzheimer's Disease Diagnosis

Solving nonconvex Hamilton--Jacobi--Isaacs equations with PINN-based policy iteration

EndoControlMag: Robust Endoscopic Vascular Motion Magnification with Periodic Reference Resetting and Hierarchical Tissue-aware Dual-Mask Contro

SegQuant: A Semantics-Aware and Generalizable Quantization Framework for Diffusion Models

APTx Neuron: A Unified Trainable Neuron Architecture Integrating Activation and Computation

Artificial Intelligence for Green Hydrogen Yield Prediction and Site Suitability using SHAP-Based Composite Index: Focus on Oman

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment

Photonic Fabric Platform for AI Accelerators

Feature-Enhanced TResNet for Fine-Grained Food Image Classification

Frequency-Dynamic Attention Modulation for Dense Prediction

Spatial Frequency Modulation for Semantic Segmentation

Fragment size density estimator for shrinkage-induced fracture based on a physics-informed neural network

SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics

Advanced U-Net Architectures with CNN Backbones for Automated Lung Cancer Detection and Segmentation in Chest CT Images

Infinite Video Understanding

Fairness Evaluation of Large Language Models in Academic Library Reference Services

Cautious Next Token Prediction

How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks

SpecCLIP: Aligning and Translating Spectroscopic Measurements for Stars

Prompt Guidance and Human Proximal Perception for HOT Prediction with Regional Joint Loss

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems

GTA: Grouped-head latenT Attention

Modeling Public Perceptions of Science in Media

LoX: Low-Rank Extrapolation Robustifies LLM Safety Against Fine-tuning

EXGnet: a single-lead explainable-AI guided multiresolution network with train-only quantitative features for trustworthy ECG arrhythmia classification

MRI-CORE: A Foundation Model for Magnetic Resonance Imaging

KVCache Cache in the Wild: Characterizing and Optimizing KVCache Cache at a Large Cloud Provider

Unified Sparse-Matrix Representations for Diverse Neural Architectures

Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start

Robot Operation of Home Appliances by Reading User Manuals

Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding

ORL-LDM: Offline Reinforcement Learning Guided Latent Diffusion Model Super-Resolution Reconstruction

Application of YOLOv8 in monocular downward multiple Car Target detection

RoBridge: A Hierarchical Architecture Bridging Cognition and Execution for General Robotic Manipulation

Monitoring digestate application on agricultural crops using Sentinel-2 Satellite imagery

Machine Learning-Based Modeling of the Anode Heel Effect in X-ray Beam Monte Carlo Simulations

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification

Mapping Industry Practices to the EU AI Act's GPAI Code of Practice Safety and Security Measures

Parasite: A Steganography-based Backdoor Attack Framework for Diffusion Models

Attention-Based Multiscale Temporal Fusion Network for Uncertain-Mode Fault Diagnosis in Multimode Processes

AirCache: Activating Inter-modal Relevancy KV Cache Compression for Efficient Large Vision-Language Model Inference

Towards Detecting Persuasion on Social Media: From Model Development to Insights on Persuasion Strategies

ICCO: Learning an Instruction-conditioned Coordinator for Language-guided Task-aligned Multi-robot Control

Att-Adapter: A Robust and Precise Domain-Specific Multi-Attributes T2I Diffusion Adapter via Conditional Variational Autoencoder

A Deep Learning Approach for Augmenting Perceptional Understanding of Histopathology Images

ORANSight-2.0: Foundational LLMs for O-RAN

AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation

An Efficient and Precise Training Data Construction Framework for Process-supervised Reward Model in Mathematical Reasoning

Koel-TTS: Enhancing LLM based Speech Generation with Preference Alignment and Classifier Free Guidance

RAPID-Net: Accurate Pocket Identification for Binding-Site-Agnostic Docking

Graph Neural Networks for O-RAN Mobility Management: A Link Prediction Approach

Optimizing Privacy-Utility Trade-off in Decentralized Learning with Generalized Correlated Noise

Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step

RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning

Alleviating Seasickness through Brain-Computer Interface-based Attention Shift

NVS-SQA: Exploring Self-Supervised Quality Representation Learning for Neurally Synthesized Scenes without References

Onto-LLM-TAMP: Knowledge-oriented Task and Motion Planning using Large Language Models

A Survey of Event Causality Identification: Taxonomy, Challenges, Assessment, and Prospects

Flexible Coded Distributed Convolution Computing for Enhanced Straggler Resilience and Numerical Stability in Distributed CNNs

Vascular Segmentation of Functional Ultrasound Images using Deep Learning

Language model developers should report train-test overlap

BadHMP: Backdoor Attack against Human Motion Prediction

The FIX Benchmark: Extracting Features Interpretable to eXperts

Cross-domain Multi-step Thinking: Zero-shot Fine-grained Traffic Sign Recognition in the Wild

Impact of Stickers on Multimodal Sentiment and Intent in Social Media: A New Task, Dataset and Baseline

Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning

Multi-Level Explanations for Generative Language Models

Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation

Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

From DDMs to DNNs: Using process data and models of decision-making to improve human-AI interactions

ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks

Deliberative Searcher: Improving LLM Reliability via Reinforcement Learning with constraints

Automated planning with ontologies under coherence update semantics (Extended Version)

Working with AI: Measuring the Occupational Implications of Generative AI

LEGO Co-builder: Exploring Fine-Grained Vision-Language Modeling for Multimodal LEGO Assembly Assistants

A Community-driven vision for a new Knowledge Resource for AI

Tournament of Prompts: Evolving LLM Instructions Through Structured Debates and Elo Ratings

Turing Test 2.0: The General Intelligence Threshold

Agent RL Scaling Law: Agent RL with Spontaneous Code Execution for Mathematical Problem Solving

More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment

From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems

A novel approach to navigate the taxonomic hierarchy to address the Open-World Scenarios in Medicinal Plant Classification

Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problem

Learning Neural Strategy-Proof Matching Mechanism from Examples

LLM as a code generator in Agile Model Driven Development

Conflict Detection for Temporal Knowledge Graphs:A Fast Constraint Mining Algorithm and New Benchmarks

Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility

Pretraining on the Test Set Is No Longer All You Need: A Debate-Driven Approach to QA Benchmarks

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains

Ultra3D: Efficient and High-Fidelity 3D Generation with Part Attention

Yume: An Interactive World Generation Model

Flow Matching Meets Biology and Life Science: A Survey

On the Interaction of Compressibility and Adversarial Robustness

AI Telephone Surveying: Automating Quantitative Data Collection with an AI Interviewer

From Feedback to Checklists: Grounded Evaluation of AI-Generated Clinical Notes

CASCADE: LLM-Powered JavaScript Deobfuscator at Google

How Should We Meta-Learn Reinforcement Learning Algorithms?

Vision Transformer attention alignment with human visual perception in aesthetic object evaluation

PRIX: Learning to Plan from Raw Pixels for End-to-End Autonomous Driving

EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning and Reasoning Modes

Created by

Haebom

저자

LG AI Research, :, Kyunghoon Bae, Eunbi Choi, Kibong Choi, Stanley Jungkyu Choi, Yemuk Choi, Kyubeen Han, Seokhee Hong, Junwon Hwang, Taewan Hwang, Joonwon Jang, Hyojin Jeon, Kijeong Jeon, Gerrard Jeongwon Jo, Hyunjik Jo, Jiyeon Jung, Euisoon Kim, Hyosang Kim, Jihoon Kim, Joonkee Kim, Seonghwan Kim, Soyeon Kim, Sunkyoung Kim, Yireun Kim, Yongil Kim, Youchul Kim, Edward Hwayoung Lee, Gwangho Lee, Haeju Lee, Honglak Lee, Jinsik Lee, Kyungmin Lee, Sangha Park, Young Min Paik, Yongmin Park, Youngyong Park, Sanghyun Seo, Sihoon Yang, Heuiyeen Yeen, Sihyuk Yi, Hyeongu Yun

개요

EXAONE 4.0은 비추론 모드와 추론 모드를 통합하여 EXAONE 3.5의 우수한 사용성과 EXAONE Deep의 고급 추론 능력을 모두 제공하는 모델입니다. 에이전트 AI 시대를 위한 기반을 마련하기 위해 에이전트 도구 사용 기능을 통합하였으며, 영어와 한국어 외에 스페인어 지원을 추가하여 다국어 기능을 확장했습니다. 32B 중간 크기 모델(고성능 최적화)과 1.2B 소형 모델(온디바이스 애플리케이션용) 두 가지 크기로 구성되며, 동급의 공개 모델보다 우수한 성능을 보여주고 최첨단 모델과도 경쟁력을 유지합니다. 연구 목적으로 공개되어 Hugging Face를 통해 쉽게 다운로드할 수 있습니다.

시사점, 한계점

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시사점:

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EXAONE 3.5의 사용성과 EXAONE Deep의 추론 능력을 결합한 향상된 모델 제공

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에이전트 도구 사용 및 다국어 지원(영어, 한국어, 스페인어)으로 에이전트 AI 시대를 위한 발전

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다양한 크기의 모델 제공으로 다양한 환경 및 애플리케이션에 적용 가능

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동급 최고 성능 및 최첨단 모델과의 경쟁력 확보

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연구 목적의 공개를 통한 접근성 향상

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한계점:

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논문에서 구체적인 성능 비교 결과 및 지표가 제시되지 않음.

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모델의 한계점이나 향후 개선 방향에 대한 언급이 부족함.

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"frontier-class models" 와의 구체적인 비교 대상 및 성능 차이가 명시되지 않음.

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