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CtrlAttack: A Unified Attack on World-Model Control in Diffusion Models
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SAVA-X: Ego-to-Exo Imitation Error Detection via Scene-Adaptive View Alignment and Bidirectional Cross View Fusion
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Catalyst4D: High-Fidelity 3D-to-4D Scene Editing via Dynamic Propagation
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SectEval: Evaluating the Latent Sectarian Preferences of Large Language Models
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PVI: Plug-in Visual Injection for Vision-Language-Action Models
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Empowering Semantic-Sensitive Underwater Image Enhancement with VLM
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The RIGID Framework: Research-Integrated, Generative AI-Mediated Instructional Design
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Upper Bounds for Local Learning Coefficients of Three-Layer Neural Networks
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Generalized Recognition of Basic Surgical Actions Enables Skill Assessment and Vision-Language-Model-based Surgical Planning
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Think and Answer ME: Benchmarking and Exploring Multi-Entity Reasoning Grounding in Remote Sensing
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Coherent Human-Scene Reconstruction from Multi-Person Multi-View Video in a Single Pass
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Cheers: Decoupling Patch Details from Semantic Representations Enables Unified Multimodal Comprehension and Generation
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A Fractional Fox H-Function Kernel for Support Vector Machines: Robust Classification via Weighted Transmutation Operators
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SteerRM: Debiasing Reward Models via Sparse Autoencoders
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Spectral Defense Against Resource-Targeting Attack in 3D Gaussian Splatting
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What Makes VLMs Robust? Towards Reconciling Robustness and Accuracy in Vision-Language Models
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GLEAM: A Multimodal Imaging Dataset and HAMM for Glaucoma Classification
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A Multi-task Large Reasoning Model for Molecular Science
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OARS: Process-Aware Online Alignment for Generative Real-World Image Super-Resolution
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Context is all you need: Towards autonomous model-based process design using agentic AI in flowsheet simulations
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Residual SODAP: Residual Self-Organizing Domain-Adaptive Prompting with Structural Knowledge Preservation for Continual Learning
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Adaptive Vision-Language Model Routing for Computer Use Agents
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NanoVDR: Distilling a 2B Vision-Language Retriever into a 70M Text-Only Encoder for Visual Document Retrieval
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Rethinking Multiple-Choice Questions for RLVR: Unlocking Potential via Distractor Design
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From AI Weather Prediction to Infrastructure Resilience: A Correction-Downscaling Framework for Tropical Cyclone Impacts
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coDrawAgents: A Multi-Agent Dialogue Framework for Compositional Image Generation
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Hierarchical Dual-Change Collaborative Learning for UAV Scene Change Captioning
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Mask2Flow-TSE: Two-Stage Target Speaker Extraction with Masking and Flow Matching
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DAST: A Dual-Stream Voice Anonymization Attacker with Staged Training
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Multimodal Protein Language Models for Enzyme Kinetic Parameters: From Substrate Recognition to Conformational Adaptation
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Hierarchical Reference Sets for Robust Unsupervised Detection of Scattered and Clustered Outliers
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Vision-Language Based Expert Reporting for Painting Authentication and Defect Detection
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Team LEYA in 10th ABAW Competition: Multimodal Ambivalence/Hesitancy Recognition Approach
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On Linear Separability of the MNIST Handwritten Digits Dataset
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Draft-and-Target Sampling for Video Generation Policy
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Wear Classification of Abrasive Flap Wheels using a Hierarchical Deep Learning Approach
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I Know What I Don't Know: Latent Posterior Factor Models for Multi-Evidence Probabilistic Reasoning
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Composing Driving Worlds through Disentangled Control for Adversarial Scenario Generation
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Surrogates for Physics-based and Data-driven Modelling of Parametric Systems: Review and New Perspectives
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CLARIN-PT-LDB: An Open LLM Leaderboard for Portuguese to assess Language, Culture and Civility
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TRACE: Structure-Aware Character Encoding for Robust and Generalizable Document Watermarking
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Test-time RL alignment exposes task familiarity artifacts in LLM benchmarks
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Explainable AI Using Inherently Interpretable Components for Wearable-based Health Monitoring
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Enhanced Drug-drug Interaction Prediction Using Adaptive Knowledge Integration
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A protocol for evaluating robustness to H&E staining variation in computational pathology models
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Forecasting Epileptic Seizures from Contactless Camera via Cross-Species Transfer Learning
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Finite Difference Flow Optimization for RL Post-Training of Text-to-Image Models
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Human-Centered Evaluation of an LLM-Based Process Modeling Copilot: A Mixed-Methods Study with Domain Experts
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A theory of learning data statistics in diffusion models, from easy to hard
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Spectral-Geometric Neural Fields for Pose-Free LiDAR View Synthesis
