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Mending the Holes: Mitigating Reward Hacking in Reinforcement Learning for Multilingual Translation
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Are General-Purpose Vision Models All We Need for 2D Medical Image Segmentation? A Cross-Dataset Empirical Study
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Convergence Rate of a Functional Learning Method for Contextual Stochastic Optimization
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3DTCR: A Physics-Based Generative Framework for Vortex-Following 3D Reconstruction to Improve Tropical Cyclone Intensity Forecasting
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Causal Cellular Context Transfer Learning (C3TL): An Efficient Architecture for Prediction of Unseen Perturbation Effects
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Topo-R1: Detecting Topological Anomalies via Vision-Language Models
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Team RAS in 10th ABAW Competition: Multimodal Valence and Arousal Estimation Approach
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Reference-Free Image Quality Assessment for Virtual Try-On via Human Feedback
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Competition-Aware CPC Forecasting with Near-Market Coverage
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LADR: Locality-Aware Dynamic Rescue for Efficient Text-to-Image Generation with Diffusion Large Language Models
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L2GTX: From Local to Global Time Series Explanations
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GeoChemAD: Benchmarking Unsupervised Geochemical Anomaly Detection for Mineral Exploration
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Fractals made Practical: Denoising Diffusion as Partitioned Iterated Function Systems
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Mitigating Memorization in Text-to-Image Diffusion via Region-Aware Prompt Augmentation and Multimodal Copy Detection
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Rooftop Wind Field Reconstruction Using Sparse Sensors: From Deterministic to Generative Learning Methods
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InterEdit: Navigating Text-Guided Multi-Human 3D Motion Editing
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Human-in-the-Loop LLM Grading for Handwritten Mathematics Assessments
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Influence Malleability in Linearized Attention: Dual Implications of Non-Convergent NTK Dynamics
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DRCY: Agentic Hardware Design Reviews
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V-Bridge: Bridging Video Generative Priors to Versatile Few-shot Image Restoration
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Reasoning over Video: Evaluating How MLLMs Extract, Integrate, and Reconstruct Spatiotemporal Evidence
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Breaking the Tuning Barrier: Zero-Hyperparameters Yield Multi-Corner Analysis Via Learned Priors
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MESD: Detecting and Mitigating Procedural Bias in Intersectional Groups
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SldprtNet: A Large-Scale Multimodal Dataset for CAD Generation in Language-Driven 3D Design
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Beyond Final Answers: CRYSTAL Benchmark for Transparent Multimodal Reasoning Evaluation
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Evaluating VLMs' Spatial Reasoning Over Robot Motion: A Step Towards Robot Planning with Motion Preferences
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BenDFM: A taxonomy and synthetic CAD dataset for manufacturability assessment in sheet metal bending
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Panoramic Multimodal Semantic Occupancy Prediction for Quadruped Robots
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BoSS: A Best-of-Strategies Selector as an Oracle for Deep Active Learning
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ZO-SAM: Zero-Order Sharpness-Aware Minimization for Efficient Sparse Training
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NOIR: Neural Operator mapping for Implicit Representations
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Geometry-Guided Camera Motion Understanding in VideoLLMs
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FDeID-Toolbox: Face De-Identification Toolbox
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Scalable Machines with Intrinsic Higher Mental-State Dynamics
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Developing the PsyCogMetrics AI Lab to Evaluate Large Language Models and Advance Cognitive Science -- A Three-Cycle Action Design Science Study
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Steve-Evolving: Open-World Embodied Self-Evolution via Fine-Grained Diagnosis and Dual-Track Knowledge Distillation
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When Right Meets Wrong: Bilateral Context Conditioning with Reward-Confidence Correction for GRPO
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ESG-Bench: Benchmarking Long-Context ESG Reports for Hallucination Mitigation
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DiT-IC: Aligned Diffusion Transformer for Efficient Image Compression
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Towards Faithful Multimodal Concept Bottleneck Models
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Reconciling In-Context and In-Weight Learning via Dual Representation Space Encoding
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Developing and evaluating a chatbot to support maternal health care
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Semantic Invariance in Agentic AI
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Purifying Generative LLMs from Backdoors without Prior Knowledge or Clean Reference
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Perceive What Matters: Relevance-Driven Scheduling for Multimodal Streaming Perception
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Clustering Astronomical Orbital Synthetic Data Using Advanced Feature Extraction and Dimensionality Reduction Techniques
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MXNorm: Reusing MXFP block scales for efficient tensor normalisation
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Diffusion-Based Feature Denoising and Using NNMF for Robust Brain Tumor Classification
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Towards Spatio-Temporal World Scene Graph Generation from Monocular Videos
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Learnability and Privacy Vulnerability are Entangled in a Few Critical Weights
