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전 세계에서 발간되는 인공지능 관련 논문을 정리하는 페이지 입니다.
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ELV-Halluc: Benchmarking Semantic Aggregation Hallucinations in Long Video Understanding
Quantifying Label-Induced Bias in Large Language Model Self- and Cross-Evaluations
R-4B: Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Annealing and Reinforce Learning
EmbodiedOneVision: Interleaved Vision-Text-Action Pretraining for General Robot Control
Language Models and Logic Programs for Trustworthy Financial Reasoning
Occlusion Robustness of CLIP for Military Vehicle Classification
SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes
DrugReasoner: Interpretable Drug Approval Prediction with a Reasoning-augmented Language Model
Dynamic Fusion Multimodal Network for SpeechWellness Detection
Agentic AI for Software: thoughts from Software Engineering community
CoViPAL: Layer-wise Contextualized Visual Token Pruning for Large Vision-Language Models
LLM Assertiveness can be Mechanistically Decomposed into Emotional and Logical Components
ONG: Orthogonal Natural Gradient Descent
Tri-Accel: Curvature-Aware Precision-Adaptive and Memory-Elastic Optimization for Efficient GPU Usage
GPT-OSS-20B: A Comprehensive Deployment-Centric Analysis of OpenAI's Open-Weight Mixture of Experts Model
Bridging Generalization and Personalization in Wearable Human Activity Recognition via On-Device Few-Shot Learning
SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning
Adaptively Robust LLM Inference Optimization under Prediction Uncertainty
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
FLAIR: Frequency- and Locality-Aware Implicit Neural Representations
Hierarchical Evaluation Function: A Multi-Metric Approach for Optimizing Demand Forecasting Models
Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization
Quantum Flow Matching
BConformeR: A Conformer Based on Mutual Sampling for Unified Prediction of Continuous and Discontinuous Antibody Binding Sites
Preacher: Paper-to-Video Agentic System
UQGNN: Uncertainty Quantification of Graph Neural Networks for Multivariate Spatiotemporal Prediction
Grid2Guide: A* Enabled Small Language Model for Indoor Navigation
ACD-CLIP: Decoupling Representation and Dynamic Fusion for Zero-Shot Anomaly Detection
MAQuA: Adaptive Question-Asking for Multidimensional Mental Health Screening using Item Response Theory
Class Unbiasing for Generalization in Medical Diagnosis
LLM Serving Optimization with Variable Prefill and Decode Lengths
Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control
CF3: Compact and Fast 3D Feature Fields
MSC: A Marine Wildlife Video Dataset with Grounded Segmentation and Clip-Level Captioning
A DbC Inspired Neurosymbolic Layer for Trustworthy Agent Design
Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning
Exploring the Application of Visual Question Answering (VQA) for Classroom Activity Monitoring
AR-LIF: Adaptive reset leaky integrate-and-fire neuron for spiking neural networks
A Markov Categorical Framework for Language Modeling
Towards Compute-Optimal Many-Shot In-Context Learning
Benchmarking LLM Privacy Recognition for Social Robot Decision Making
Diffusion Models for Time Series Forecasting: A Survey
GPI-Net: Gestalt-Guided Parallel Interaction Network via Orthogonal Geometric Consistency for Robust Point Cloud Registration
ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation
Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need
Demographic-aware fine-grained classification of pediatric wrist fractures
Agentic-R1: Distilled Dual-Strategy Reasoning
Driving as a Diagnostic Tool: Scenario-based Cognitive Assessment in Older Drivers from Driving Video
MedVAL: Toward Expert-Level Medical Text Validation with Language Models
NOCTIS: Novel Object Cyclic Threshold based Instance Segmentation
RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms
Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design
Towards Efficient and Accurate Spiking Neural Networks via Adaptive Bit Allocation
Flow-Modulated Scoring for Semantic-Aware Knowledge Graph Completion
TPTT: Transforming Pretrained Transformers into Titans
What Is the Point of Equality in Machine Learning Fairness? Beyond Equality of Opportunity
QGuard:Question-based Zero-shot Guard for Multi-modal LLM Safety
A theoretical framework for self-supervised contrastive learning for continuous dependent data
LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation
Auto prompt sql: a resource-efficient architecture for text-to-sql translation in constrained environments
Labelling Data with Unknown References
FinS-Pilot: A Benchmark for Online Financial RAG System
Diagnosing Reliability in Text-Guided Medical Image Editing
Speeding Up Hyper-Heuristics With Markov-Chain Operator Selection and the Only-Worsening Acceptance Operator
A versatile foundation model for cine cardiac magnetic resonance image analysis tasks
Should I Share this Translation? Evaluating Quality Feedback for User Reliance on Machine Translation
Multiple LLM Agents Debate for Equitable Cultural Alignment
Automated Essay Scoring Incorporating Annotations from Automated Feedback Systems
Can NeRFs See without Cameras?
DiffDecompose: Layer-Wise Decomposition of Alpha-Composited Images via Diffusion Transformers
The challenge of hidden gifts in multi-agent reinforcement learning
How Can I Publish My LLM Benchmark Without Giving the True Answers Away?
Cog-TiPRO: Iterative Prompt Refinement with LLMs to Detect Cognitive Decline via Longitudinal Voice Assistant Commands
From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning
Unveil Multi-Picture Descriptions for Multilingual Mild Cognitive Impairment Detection via Contrastive Learning
Toward Real-World Cooperative and Competitive Soccer with Quadrupedal Robot Teams
FreqSelect: Frequency-Aware fMRI-to-Image Reconstruction
ViEEG: Hierarchical Visual Neural Representation for EEG Brain Decoding
One Shot Dominance: Knowledge Poisoning Attack on Retrieval-Augmented Generation Systems
Search and Refine During Think: Autonomous Retrieval-Augmented Reasoning of LLMs
ManipBench: Benchmarking Vision-Language Models for Low-Level Robot Manipulation
Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks
ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling
FairPO: Robust Preference Optimization for Fair Multi-Label Learning
Automated Parsing of Engineering Drawings for Structured Information Extraction Using a Fine-tuned Document Understanding Transformer
GenTorrent: Scaling Large Language Model Serving with An Overlay Network
Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation
Progent: Programmable Privilege Control for LLM Agents
A Rollout-Based Algorithm and Reward Function for Resource Allocation in Business Processes
Agent-Q: Fine-Tuning Large Language Models for Quantum Circuit Generation and Optimization
A Hybrid Fully Convolutional CNN-Transformer Model for Inherently Interpretable Disease Detection from Retinal Fundus Images
More Bang for the Buck: Process Reward Modeling with Entropy-Driven Uncertainty
LATTE-MV: Learning to Anticipate Table Tennis Hits from Monocular Videos
Flip Learning: Weakly Supervised Erase to Segment Nodules in Breast Ultrasound
Optimizing Breast Cancer Detection in Mammograms: A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi-View Classification
Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question Answering
General Table Question Answering via Answer-Formula Joint Generation
Open-World Skill Discovery from Unsegmented Demonstrations
To See a World in a Spark of Neuron: Disentangling Multi-task Interference for Training-free Model Merging
MOHPER: Multi-objective Hyperparameter Optimization Framework for E-commerce Retrieval System
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