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SurgFed: Language-guided Multi-Task Federated Learning for Surgical Video Understanding
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Modelling the Diachronic Emergence of Phoneme Frequency Distributions
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Context-Nav: Context-Driven Exploration and Viewpoint-Aware 3D Spatial Reasoning for Instance Navigation
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TrainDeeploy: Hardware-Accelerated Parameter-Efficient Fine-Tuning of Small Transformer Models at the Extreme Edge
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Probing the Reliability of Driving VLMs: From Inconsistent Responses to Grounded Temporal Reasoning
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Mitigating Frequency Learning Bias in Quantum Models via Multi-Stage Residual Learning
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You Didn't Have to Say It like That: Subliminal Learning from Faithful Paraphrases
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Efficiently Aligning Draft Models via Parameter- and Data-Efficient Adaptation
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RESBev: Making BEV Perception More Robust
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DCAU-Net: Differential Cross Attention and Channel-Spatial Feature Fusion for Medical Image Segmentation
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Association of Radiologic PPFE Change with Mortality in Lung Cancer Screening Cohorts
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What Do We Care About in Bandits with Noncompliance? BRACE: Bandits with Recommendations, Abstention, and Certified Effects
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Enhancing Debunking Effectiveness through LLM-based Personality Adaptation
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Towards Unified Multimodal Interleaved Generation via Group Relative Policy Optimization
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Memory-Guided View Refinement for Dynamic Human-in-the-loop EQA
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A comprehensive study of time-of-flight non-line-of-sight imaging
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GeoSolver: Scaling Test-Time Reasoning in Remote Sensing with Fine-Grained Process Supervision
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Compiler-First State Space Duality and Portable $O(1)$ Autoregressive Caching for Inference
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ALARM: Audio-Language Alignment for Reasoning Models
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Learning Bayesian and Markov Networks with an Unreliable Oracle
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a-TMFG: Scalable Triangulated Maximally Filtered Graphs via Approximate Nearest Neighbors
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GeoAlignCLIP: Enhancing Fine-Grained Vision-Language Alignment in Remote Sensing via Multi-Granular Consistency Learning
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An Optimal Control Approach To Transformer Training
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More than the Sum: Panorama-Language Models for Adverse Omni-Scenes
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SCDP: Learning Humanoid Locomotion from Partial Observations via Mixed-Observation Distillation
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Routing without Forgetting
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Towards Understanding Adam Convergence on Highly Degenerate Polynomials
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BinaryAttention: One-Bit QK-Attention for Vision and Diffusion Transformers
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Nonparametric Variational Differential Privacy via Embedding Parameter Clipping
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Memorization capacity of deep ReLU neural networks characterized by width and depth
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Build, Borrow, or Just Fine-Tune? A Political Scientist's Guide to Choosing NLP Models
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Symbolic Discovery of Stochastic Differential Equations with Genetic Programming
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Detecting Miscitation on the Scholarly Web through LLM-Augmented Text-Rich Graph Learning
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A Variational Latent Equilibrium for Learning in Neuronal Circuits
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MM-algorithms for traditional and convex NMF with Tweedie and Negative Binomial cost functions and empirical evaluation
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Digging Deeper: Learning Multi-Level Concept Hierarchies
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Learning the Hierarchical Organization in Brain Network for Brain Disorder Diagnosis
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ParTY: Part-Guidance for Expressive Text-to-Motion Synthesis
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A Saccade-inspired Approach to Image Classification using Vision Transformer Attention Maps
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Surgical Repair of Collapsed Attention Heads in ALiBi Transformers
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Context Engineering: From Prompts to Corporate Multi-Agent Architecture
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Physics-Driven 3D Gaussian Rendering for Zero-Shot MRI Super-Resolution
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Decoder-Free Distillation for Quantized Image Restoration
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Grounding Synthetic Data Generation With Vision and Language Models
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X-GS: An Extensible Open Framework for Perceiving and Thinking via 3D Gaussian Splatting
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Tracking Cancer Through Text: Longitudinal Extraction From Radiology Reports Using Open-Source Large Language Models
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PRECEPT: Planning Resilience via Experience, Context Engineering & Probing Trajectories A Unified Framework for Test-Time Adaptation with Compositional Rule Learning and Pareto-Guided Prompt Evolution
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Multi-DNN Inference of Sparse Models on Edge SoCs
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MM-tau-p$^2$: Persona-Adaptive Prompting for Robust Multi-Modal Agent Evaluation in Dual-Control Settings
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Evolution of Photonic Quantum Machine Learning under Noise
