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Latest Research — Page 14

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• A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata
• EEG-FM-Compass: Progress, Benchmarking, and Future Directions for EEG Foundation Models
• Does On-Policy Distillation Really Distill? From Noisy Teacher to Self-Improvement
• Ada-FCN: Adaptive Frequency-Coupled Network for fMRI-Based Brain Disorder Classification
• Harpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion
• Medical SAM3: A Foundation Model for Universal Prompt-Driven Medical Image Segmentation
• RelaxFlow: Text-Driven Amodal 3D Generation
• Compressing LLMs with MoP: Mixture of Pruners
• Does My Chatbot Have an Agenda? Understanding Human and AI Agency in Human-Human-like Chatbot Interaction
• R$^{2}$Seg: Training-Free OOD Medical Tumor Segmentation via Anatomical Reasoning and Statistical Rejection
• SVG-T2I: Scaling Up Text-to-Image Latent Diffusion Model Without Variational Autoencoder
• Energy Loss Functions for Physical Systems
• Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
• CAPC-CG: A Large-Scale, Expert-Directed LLM-Annotated Corpus of Adaptive Policy Communication in China
• Implicit Neural Representations for Variational Problems on Graphons
• 3M-TI: High-Quality Mobile Thermal Imaging via Calibration-free Multi-Camera Cross-Modal Diffusion
• FineGRAIN: Evaluating Failure Modes of Text-to-Image Models with Vision Language Model Judges
• Magellan: Autonomous Discovery of Novel Compiler Optimization Heuristics with AlphaEvolve
• Attention as Lattice Gauge Theory: Relations Interact Only Through Wilson Loops
• BiCC: Bidirectional Connected-Component Loss for Instance-Aware Segmentation
• Multilingual GSM-Symbolic: What determines capability transfer across languages?
• A dataset of medication images with instance segmentation masks for preventing adverse drug events
• Improving the accuracy and generalizability of molecular property regression models with a substructure-substitution-rule-informed framework
• Consistency Is the Key: Detecting Hallucinations in LLM Generated Text By Checking Inconsistencies About Key Facts
• Beyond Solver Verdicts: Generative Reward Models for Autoformalization
• Accelerating Masked Diffusion Large Language Models: A Survey of Efficient Inference Techniques
• CascadeMind at SemEval-2026 Task 4: A Hybrid Neuro-Symbolic Cascade for Narrative Similarity
• When AI Agents Compete for Jobs: Strategic Capabilities and Economic Dynamics of AI Labour Markets
• Introduction to Symbolic Regression in the Physical Sciences
• Another Blueprint In The Wall: How to Ask Frontier AI Like a Kid?
• Mitigating Error Accumulation in Continuous Navigation via Memory-Augmented Kalman Filtering
• Behavior Tokens Speak Louder: Disentangled Explainable Recommendation with Behavior Vocabulary
• AnchorHOI: Zero-shot Generation of 4D Human-Object Interaction via Anchor-based Prior Distillation
• Towards the Automatic Synthesis of Interpretable Chess Tactics
• A Novel Approach to Breast Cancer Segmentation using U-Net Model with Attention Mechanisms and FedProx
• Asking for What Was Never Requested: Horizontal and Vertical Proactivity in Agents
• Graph Machine: Towards Better Pretraining via Edges
• PAC-Bayesian Bounds on Constrained f-Entropic Risk Measures
• From Insight to Exploit: Leveraging LLM Collaboration for Adaptive Adversarial Text Generation
• PartUV: Part-Based UV Unwrapping of 3D Meshes