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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
PoseMaster: Generating 3D Characters in Arbitrary Poses from a Single Image
IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation
On Context-Content Uncertainty Principle
Predicting Readiness to Engage in Psychotherapy of People with Chronic Pain Based on their Pain-Related Narratives Saar
Visual-Semantic Knowledge Conflicts in Operating Rooms: Synthetic Data Curation for Surgical Risk Perception in Multimodal Large Language Models
WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT
Modeling the influences of non-local connectomic projections on geometrically constrained cortical dynamics
Transforming H&E images into IHC: A Variance-Penalized GAN for Precision Oncology
A Deep Convolutional Neural Network-Based Novel Class Balancing for Imbalance Data Segmentation
A Modular Taxonomy for Hate Speech Definitions and Its Impact on Zero-Shot LLM Classification Performance
OmniESI: A unified framework for enzyme-substrate interaction prediction with progressive conditional deep learning
CT Radiomics-Based Explainable Machine Learning Model for Accurate Differentiation of Malignant and Benign Endometrial Tumors: A Two-Center Study
A Prior-Guided Joint Diffusion Model in Projection Domain for PET Tracer Conversion
SHREC and PHEONA: Using Large Language Models to Advance Next-Generation Computational Phenotyping
Detecting immune cells with label-free two-photon autofluorescence and deep learning
Uncertainty-Aware Deep Learning for Automated Skin Cancer Classification: A Comprehensive Evaluation
ProtocolLLM: RTL Benchmark for SystemVerilog Generation of Communication Protocols
Single-cell metabolic flux analysis reveals coexisting optimal sub-groups, cross-feeding, and mixotrophy in a cyanobacterial population
DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models
Market power abuse in wholesale electricity markets
Do Language Models Think Consistently? A Study of Value Preferences Across Varying Response Lengths
Investigating Quantum Feature Maps in Quantum Support Vector Machines for Lung Cancer Classification
Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning
Machine vs Machine: Using AI to Tackle Generative AI Threats in Assessment
LKD-KGC: Domain-Specific KG Construction via LLM-driven Knowledge Dependency Parsing
Beam-Guided Knowledge Replay for Knowledge-Rich Image Captioning using Vision-Language Model
TabXEval: Why this is a Bad Table? An eXhaustive Rubric for Table Evaluation
The Role of AI in Early Detection of Life-Threatening Diseases: A Retinal Imaging Perspective
TumorHoPe2: An updated database for Tumor Homing Peptides
Prostate Cancer Screening with Artificial Intelligence-Enhanced Micro-Ultrasound: A Comparative Study with Traditional Methods
MAKIEval: A Multilingual Automatic WiKidata-based Framework for Cultural Awareness Evaluation for LLMs
AbsoluteNet: A Deep Learning Neural Network to Classify Cerebral Hemodynamic Responses of Auditory Processing
Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression
Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL
Tokenizing Electron Cloud in Protein-Ligand Interaction Learning
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