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Text-Phase Synergy Network with Dual Priors for Unsupervised Cross-Domain Image Retrieval
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Design-Specification Tiling for ICL-based CAD Code Generation
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Deep Learning Based Estimation of Blood Glucose Levels from Multidirectional Scleral Blood Vessel Imaging
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UNIStainNet: Foundation-Model-Guided Virtual Staining of H&E to IHC
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Altered Thoughts, Altered Actions: Probing Chain-of-Thought Vulnerabilities in VLA Robotic Manipulation
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The COTe score: A decomposable framework for evaluating Document Layout Analysis models
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IGASA: Integrated Geometry-Aware and Skip-Attention Modules for Enhanced Point Cloud Registration
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CMHANet: A Cross-Modal Hybrid Attention Network for Point Cloud Registration
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CognitionCapturerPro: Towards High-Fidelity Visual Decoding from EEG/MEG via Multi-modal Information and Asymmetric Alignment
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SciDesignBench: Benchmarking and Improving Language Models for Scientific Inverse Design
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Graph In-Context Operator Networks for Generalizable Spatiotemporal Prediction
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Anchored Alignment: Preventing Positional Collapse in Multimodal Recommender Systems
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On Using Machine Learning to Early Detect Catastrophic Failures in Marine Diesel Engines
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VecMol: Vector-Field Representations for 3D Molecule Generation
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SRAM-Based Compute-in-Memory Accelerator for Linear-decay Spiking Neural Networks
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ToolTree: Efficient LLM Agent Tool Planning via Dual-Feedback Monte Carlo Tree Search and Bidirectional Pruning
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MoKus: Leveraging Cross-Modal Knowledge Transfer for Knowledge-Aware Concept Customization
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TaoBench: Do Automated Theorem Prover LLMs Generalize Beyond MathLib?
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Music Source Restoration with Ensemble Separation and Targeted Reconstruction
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Thinking in Dynamics: How Multimodal Large Language Models Perceive, Track, and Reason Dynamics in Physical 4D World
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Modality-free Graph In-context Alignment
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SLICE: Semantic Latent Injection via Compartmentalized Embedding for Image Watermarking
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Show, Don't Tell: Detecting Novel Objects by Watching Human Videos
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Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems
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A Method for Learning Large-Scale Computational Construction Grammars from Semantically Annotated Corpora
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AI Model Modulation with Logits Redistribution
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FC-Track: Overlap-Aware Post-Association Correction for Online Multi-Object Tracking
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SAP: Segment Any 4K Panorama
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HIFICL: High-Fidelity In-Context Learning for Multimodal Tasks
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TerraFlow: Multimodal, Multitemporal Representation Learning for Earth Observation
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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
