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Latest Research — Page 133

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• STORM: Segment, Track, and Object Re-Localization from a Single Image
• Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization
• CFG-Ctrl: Control-Based Classifier-Free Diffusion Guidance
• Unplugging a Seemingly Sentient Machine Is the Rational Choice -- A Metaphysical Perspective
• CARES: Context-Aware Resolution Selector for VLMs
• Expectation, Backlash, Recovery, and Excitement: How Model Releases Shape Reddit Perceptions of Conversational AI Systems
• Transformer-Based Inpainting for Real-Time 3D Streaming in Sparse Multi-Camera Setups
• When to Invoke: Refining LLM Fairness with Toxicity Assessment
• Connectivity-Guided Sparsification of 2-FWL GNNs: Preserving Full Expressivity with Improved Efficiency
• Adversarial Label Invariant Graph Data Augmentations for Out-of-Distribution Generalization
• The role of spatial scales in assessing urban mobility models
• A BERTology View of LLM Orchestrations: Token- and Layer-Selective Probes for Efficient Single-Pass Classification
• ShapeUP: Scalable Image-Conditioned 3D Editing
• LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories
• Verification of the Implicit World Model in a Generative Model via Adversarial Sequences
• UniFlow: A Unified Pixel Flow Tokenizer for Visual Understanding and Generation
• NCAA Bracket Prediction Using Machine Learning and Combinatorial Fusion Analysis
• Geo-NVS-w: Geometry-Aware Novel View Synthesis In-the-Wild with an SDF Renderer
• Depth and Autonomy: A Framework for Evaluating LLM Applications in Social Science Research
• Thinking Before Constraining: A Unified Decoding Framework for Large Language Models
• Adaptive Forests For Classification
• Understanding Content Moderation in Large Language Models through Restricted Books: From Refusal to Warning
• From Confusion to Clarity: Confusion-Aware Retrieval and Knowledge Injection for Text Classification
• FireScope: Wildfire Risk Raster Prediction with a Chain-of-Thought Oracle
• Wireless Dataset Similarity: Measuring Distances in Supervised and Unsupervised Machine Learning
• BioArc: Discovering Optimal Neural Architectures for Biological Foundation Models
• The Invisible Gorilla Effect in Out-of-distribution Detection
• TabDSR: Decompose, Sanitize, and Reason for Complex Numerical Reasoning in Tabular Data
• Embedding Trust: Semantic Isotropy Predicts Nonfactuality in Long-Form Text Generation
• Functional Distribution Networks (FDN)
• Reproducible Multimodal Affordance Prediction
• Crucible: Quantifying the Potential of Control Algorithms through LLM Agents
• MetaCaster: Meta-Harness-Optimized Agent for End-to-End Few-Shot Learning of Lightweight Time Series Forecasters
• Free Lunch for Stabilizing Rectified Flow Inversion
• Sim4Seg: Boosting Multimodal Multi-disease Medical Diagnosis Segmentation with Region-Aware Vision-Language Similarity Masks
• Machine and Deep Learning for Indoor UWB Jammer Localization
• SHRIMP: Iterative Refinement of Robot Task Plans
• On the Provable Suboptimality of Momentum SGD in Nonstationary Stochastic Optimization
• Bayesian Belief Layer for Controllable Opinion Dynamics in LLM Agents
• ReBaPL: Repulsive Bayesian Prompt Learning