Provide.ai https://validator.w3.org/feed/docs/rss2.html Perception Without Engagement: Dissecting the Causal Discovery Deficit in LMMs How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients Convergence Analysis of Newton’s Method for Neural Networks in the Overparameterized Limit CASISR: Circular Arbitrary-Scale Image Super-Resolution Temporal-Decay Shapley: A Time-Aware Data Valuation Framework for Time-Series Data Reconfigurable Computing Challenge: Real-Time Graph Neural Networks for Online Event Selection in Big Science Attention-Mamba: A Mamba-Enhanced Multi-Scale Parallel Inference Network for Medical Image Segmentation Alignment as Jurisprudence SWE Atlas: Benchmarking Coding Agents Beyond Issue Resolution KARMA-MV: A Benchmark for Causal Question Answering on Music Videos Quantitative Sobolev Approximation Bounds for Neural Operators with Empirical Validation on Burgers Equation AllocMV: Optimal Resource Allocation for Music Video Generation via Structured Persistent State RAG-HAR: Retrieval Augmented Generation-based Human Activity Recognition TELL-TALE: Task Efficient LLMs with Task Aware Layer Elimination Embedding Dimension Lower Bounds for Universality of Deep Sets and Janossy Pooling Text-Guided Multi-Scale Frequency Representation Adaptation Communication Dynamics Neural Networks: FFT-Diagonalized Layers for Improved Hessian Conditioning at Reduced Parameter Count Predicting 3D structure by latent posterior sampling Robust Building Damage Detection in Cross-Disaster Settings Using Domain Adaptation Training Reasoning Models on Saturated Problems via Failure-Prefix Conditioning Reinforcement Learning for Scalable and Trustworthy Intelligent Systems Sparsity Hurts: Simple Linear Adapter Can Boost Generalized Category Discovery Quantifying Concentration Phenomena of Mean-Field Transformers in the Low-Temperature Regime Dynamics-Aligned Shared Hypernetworks for Contextual RL under Discontinuous Shifts VEBench:Benchmarking Large Multimodal Models for Real-World Video Editing The Power of Second Order Methods for Sequence Preconditioning Physics-Modeled Neural Networks Neuroscience-Inspired Analyses of Visual Interestingness in Multimodal Transformers Sundial: A Family of Highly Capable Time Series Foundation Models Towards Batch-to-Streaming Deep Reinforcement Learning for Continuous Control Control-Augmented Autoregressive Diffusion for Data Assimilation SACHI: Structured Agent Coordination via Holistic Information Integration in Multi-Agent Reinforcement Learning Echo-LoRA: Parameter-Efficient Fine-Tuning via Cross-Layer Representation Injection A Robust Out-of-Distribution Detection Framework via Synergistic Smoothing Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts Calibrating Scientific Foundation Models with Inference-Time Stochastic Attention Improving Human Image Animation via Semantic Representation Alignment Geometry-Aware Discretization Error of Diffusion Models Generalized Category Discovery in Federated Graph Learning Normalization Equivariance for Arbitrary Backbones, with Application to Image Denoising Streaming Sliced Optimal Transport Edge-specific signal propagation on mature chromophore-region 3D mechanism graphs for fluorescent protein quantum-yield prediction bViT: Investigating Single-Block Recurrence in Vision Transformers for Image Recognition Exploring and Exploiting Stability in Latent Flow Matching Quantile Geometry Regularization for Distributional Reinforcement Learning Survey on Disaster Management Datasets for Remote Sensing Based Emergency Applications Neural Variance-aware Dueling Bandits with Deep Representation and Shallow Exploration AU-Harness: An Open-Source Toolkit for Holistic Evaluation of Audio LLMs Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenizatio AdamFLIP: Adaptive Momentum Feedback Linearization Optimization for Hard Constrained PINN Training