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Latest Research — Page 9

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• Neurocircuitry-Inspired Hierarchical Graph Causal Attention Networks for Explainable Depression Identification
• Group Representational Position Encoding
• SpatialBench: Can Agents Analyze Real-World Spatial Biology Data?
• A Multi-Perspective Benchmark and Moderation Model for Evaluating Safety and Adversarial Robustness
• Stabilizing Physics-Informed Consistency Models via Structure-Preserving Training
• TileNet: Tile-Based CNN-SVM Architecture for Autonomous Unmanned Aerial Systems Inspection of Flat Roofs
• Zoom in, Click out: Unlocking and Evaluating the Potential of Zooming for GUI Grounding
• Self-Supervised Bootstrapping of Action-Predictive Embodied Reasoning
• Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding
• Inference-Time Dynamic Modality Selection for Incomplete Multimodal Classification
• Where Does Vision Meet Language? Understanding and Refining Visual Fusion in MLLMs via Contrastive Attention
• Spoken Conversational Agents with Large Language Models
• Probabilistic Textual Time Series Depression Detection
• MIMM-X: Disentangling Spurious Correlations for Medical Image Analysis
• Are LLMs Good Financial User Simulators? A Preliminary Study
• SmartSplat: Feature-Smart Gaussians for Scalable Compression of Ultra-High-Resolution Images
• SuperMap: A Spatio-Temporal SLAM System for Visual-Language Navigation
• Real2Edit2Real: Generating Robotic Demonstrations via a 3D Control Interface
• Detecting Experiential Intertextuality Across Migration Routes: Beyond Surface Similarity in French Narratives
• ImagebindDC: Compressing Multi-modal Data with Imagebind-based Condensation
• Skin-R1: Clinical Knowledge-Guided Dermatological Diagnosis Using Vision-Language Models
• Can LLMs Compress (and Decompress)? Evaluating Code Understanding and Execution via Invertibility
• A Few Bad Neurons: Isolating and Surgically Correcting Sycophancy
• Diffusion differentiable resampling
• Vision-Language Reasoning for Geolocalization: A Reinforcement Learning Approach
• Sparser Block-Sparse Attention via Token Permutation
• The Open Ant: A Robot Platform for Reinforcement Learning Research
• PathMind: A Retrieve-Prioritize-Reason Framework for Knowledge Graph Reasoning with Large Language Models
• HEIR: Learning Graph-Based Motion Hierarchies
• HyperStyler: Low-resource Authorship Style Transfer via Context-aware Style Navigation and Hypernetworks
• Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains
• Evolutionary Soups: Evolving Mixture-of-Experts for Multi-Objective LLM Alignment
• Dendrograms of Mixing Measures for Softmax-Gated Gaussian Mixture of Experts: Consistency Without Model Sweeps
• Vision-aligned Latent Reasoning for Multi-modal Large Language Model
• Inferential Question Answering
• A Multimodal Benchmark for Framing of Oil & Gas Advertising and Potential Greenwashing Detection
• VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion
• Vehicle Routing with Finite Time Horizon using Deep Reinforcement Learning with Improved Network Embedding
• X-Coder: Advancing Competitive Programming with Synthetic Tasks, Solutions, and Tests
• Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Models