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On Gossip Algorithms for Machine Learning with Pairwise Objectives
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DyMRL: Dynamic Multispace Representation Learning for Multimodal Event Forecasting in Knowledge Graph
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Reservoir-Based Graph Convolutional Networks
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MedAidDialog: A Multilingual Multi-Turn Medical Dialogue Dataset for Accessible Healthcare
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Spectral Scalpel: Amplifying Adjacent Action Discrepancy via Frequency-Selective Filtering for Skeleton-Based Action Segmentation
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Efficient Controller Learning from Human Preferences and Numerical Data Via Multi-Modal Surrogate Models
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Tutor-Student Reinforcement Learning: A Dynamic Curriculum for Robust Deepfake Detection
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A Longitudinal Analysis of the CEC Single-Objective Competitions (2010-2024) and Implications for Variational Quantum Optimization
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Linear-Nonlinear Fusion Neural Operator for Partial Differential Equations
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LightSplat: Fast and Memory-Efficient Open-Vocabulary 3D Scene Understanding in Five Seconds
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A visual observation on the geometry of UMAP projections of the difference vectors of antonym and synonym word pair embeddings
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A convergent Plug-and-Play Majorization-Minimization algorithm for Poisson inverse problems
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CarePilot: A Multi-Agent Framework for Long-Horizon Computer Task Automation in Healthcare
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Heuristic-inspired Reasoning Priors Facilitate Data-Efficient Referring Object Detection
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Walma: Learning to See Memory Corruption in WebAssembly
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Modeling Spatiotemporal Neural Frames for High Resolution Brain Dynamic
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Unlocking Few-Shot Capabilities in LVLMs via Prompt Conditioning and Head Selection
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TsetlinWiSARD: On-Chip Training of Weightless Neural Networks using Tsetlin Automata on FPGAs
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Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks
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RefReward-SR: LR-Conditioned Reward Modeling for Preference-Aligned Super-Resolution
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A Deep Dive into Scaling RL for Code Generation with Synthetic Data and Curricula
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Invisible Threats from Model Context Protocol: Generating Stealthy Injection Payload via Tree-based Adaptive Search
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IPatch: A Multi-Resolution Transformer Architecture for Robust Time-Series Forecasting
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Powerful Teachers Matter: Text-Guided Multi-view Knowledge Distillation with Visual Prior Enhancement
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HEART-PFL: Stable Personalized Federated Learning under Heterogeneity with Hierarchical Directional Alignment and Adversarial Knowledge Transfer
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How unconstrained machine-learning models learn physical symmetries
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Experiential Reflective Learning for Self-Improving LLM Agents
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Uncovering Memorization in Timeseries Imputation models: LBRM Membership Inference and its link to attribute Leakage
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Where Do Your Citations Come From? Citation-Constellation: A Free, Open-Source, No-Code, and Auditable Tool for Citation Network Decomposition with Complementary BARON and HEROCON Scores
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Who Benefits from RAG? The Role of Exposure, Utility and Attribution Bias
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Environment-Grounded Multi-Agent Workflow for Autonomous Penetration Testing
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Variation is the Norm: Embracing Sociolinguistics in NLP
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RVLM: Recursive Vision-Language Models with Adaptive Depth
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UniScale: Synergistic Entire Space Data and Model Scaling for Search Ranking
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Identification of NMF by choosing maximum-volume basis vectors
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Stance Labels Fail When They Matter Most: The Projection Problem in Stance Detection
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Attack Assessment and Augmented Identity Recognition for Human Skeleton Data
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Learning Mesh-Free Discrete Differential Operators with Self-Supervised Graph Neural Networks
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DVM: Real-Time Kernel Generation for Dynamic AI Models
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InstanceRSR: Real-World Super-Resolution via Instance-Aware Representation Alignment
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C-STEP: Continuous Space-Time Empowerment for Physics-informed Safe Reinforcement Learning of Mobile Agents
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Optimizing Multilingual LLMs via Federated Learning: A Study of Client Language Composition
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B-MoE: A Body-Part-Aware Mixture-of-Experts "All Parts Matter" Approach to Micro-Action Recognition
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Semantic Centroids and Hierarchical Density-Based Clustering for Cross-Document Software Coreference Resolution
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Embracing Heteroscedasticity for Probabilistic Time Series Forecasting
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Memory-Augmented Vision-Language Agents for Persistent and Semantically Consistent Object Captioning
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Semantic Alignment across Ancient Egyptian Language Stages via Normalization-Aware Multitask Learning
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Accelerating Diffusion-based Video Editing via Heterogeneous Caching: Beyond Full Computing at Sampled Denoising Timestep
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Forecasting with Guidance: Representation-Level Supervision for Time Series Forecasting
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DeepDTF: Dual-Branch Transformer Fusion for Multi-Omics Anticancer Drug Response Prediction
