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Latest Research — Page 104

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• Moving Light Adaptive Colonoscopy Reconstruction via Illumination-Attenuation-Aware 3D Gaussian Splatting
• Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models
• FlyLoRA: Boosting Task Decoupling and Parameter Efficiency via Implicit Rank-Wise Mixture-of-Experts
• RoboCasa365: A Large-Scale Simulation Framework for Training and Benchmarking Generalist Robots
• Fast Autoregressive Video Diffusion and World Models with Temporal Cache Compression and Sparse Attention
• F2G-Pose: Geometry-Aware Foundation Feature Lifting for Direct RGB-D Category-Level Object Pose Estimation
• A Disease-Aware Dual-Stage Framework for Chest X-ray Report Generation
• Scalable Face Security Vision Foundation Model for Deepfake, Diffusion, and Spoofing Detection
• HSEmotion Team at the 11th ABAW Challenge: Multi-Task Learning and Ambivalence/Hesitancy Video Recognition
• BeyondMasks: Evaluating Causal and Physical Consistency in Video Object Removal
• Lemma Dilemma: On Lemma Generation Without Domain- or Language-Specific Training Data
• EVA-Cap: Optimizing Audiovisual Video Captioning via Event-Centric Alignment
• Advancing Multimodal Fusion on Heterogeneous Medical Data with Hybrid Geometry Attention
• Data Complexity of Querying Description Logic Knowledge Bases under Cost-Based Semantics
• Rethinking deep learning: linear regression remains a key benchmark in predicting terrestrial water storage
• Multiclass Local Calibration with the Jensen-Shannon Distance
• Can we Trust Unreliable Voxels? Exploring 3D Semantic Occupancy Prediction under Label Noise
• Hybrid Cross-Modal Attention Network for Early Breast Cancer Detection in Low-Resource Clinical Settings
• Max It or Miss It: Benchmarking LLM On Solving Extremal Problems
• D2D Power Allocation via Quantum Graph Neural Network
• Agentic Bayesian Optimization through Surrogate-Augmented Autoresearch
• CoRe-Fed: Bridging Collaborative and Representation Fairness via Federated Embedding Distillation
• Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction
• Cancer Diagnosis Categorization in Electronic Health Records Using Large Language Models and BioBERT: Model Performance Evaluation Study
• MetaDefense: Defending Finetuning-based Jailbreak Attack Before and During Generation
• EMemBench: Interactive Benchmarking of Episodic Memory for VLM Agents
• ViInfographicVQA: A Benchmark for Single and Multi-image Visual Question Answering on Vietnamese Infographics
• Epanechnikov nonparametric kernel density estimation based feature-learning in respiratory disease chest X-ray images
• Video Generation Models: A Survey of Post-Training and Alignment
• FragFlex: Fragment-Based Flexible Molecular Generation for Exploring Vast Chemical Space
• DoFlow: Flow-based Generative Models for Interventional and Counterfactual Forecasting on Time Series
• Executable Governance for AI: Translating Policies into Rules Using LLMs
• Extreme Value Policy Optimization for Safe Reinforcement Learning
• HyQuant: Hybrid-Precision Quantization for LLM Attention
• OmniReasoning: Pushing the Limits of Audio-Visual Joint Reasoning
• LaLa-World: Scaling Latent World Models with Natural Language Actions
• PromptMoE: Generalizable Zero-Shot Anomaly Detection via Visually-Guided Prompt Mixtures
• MigrationNarrate: A Dataset for Detection of Migration Narratives in YouTube Videos
• Decision-oriented benchmarking to transform AI weather forecast access: Application to the Indian monsoon
• The MUSE Benchmark: Probing Music Perception and Auditory Relational Reasoning in Audio LLMS