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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
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ScrollScape: Unlocking 32K Image Generation With Video Diffusion Priors
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Language-Assisted Image Clustering Guided by Discriminative Relational Signals and Adaptive Semantic Centers
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TopoMesh: High-Fidelity Mesh Autoencoding via Topological Unification
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Bridging Biological Hearing and Neuromorphic Computing: End-to-End Time-Domain Audio Signal Processing with Reservoir Computing
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The Specification Gap: Coordination Failure Under Partial Knowledge in Code Agents
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Cost-Sensitive Neighborhood Aggregation for Heterophilous Graphs: When Does Per-Edge Routing Help?
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VERIA: Verification-Centric Multimodal Instance Augmentation for Long-Tailed 3D Object Detection
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RS-SSM: Refining Forgotten Specifics in State Space Model for Video Semantic Segmentation
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AMIF: Authorizable Medical Image Fusion Model with Built-in Authentication
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SpinGQE: A Generative Quantum Eigensolver for Spin Hamiltonians
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CGRL: Causal-Guided Representation Learning for Graph Out-of-Distribution Generalization
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Samasāmayik: A Parallel Dataset for Hindi-Sanskrit Machine Translation
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Refining time-space traffic diagrams: A neighborhood-adaptive linear regression method
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Toward Generalist Neural Motion Planners for Robotic Manipulators: Challenges and Opportunities
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Heuristic Self-Paced Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions
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Connecting Meteorite Spectra to Lunar Surface Composition Using Hyperspectral Imaging and Machine Learning
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Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement Learning
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Boosting Document Parsing Efficiency and Performance with Coarse-to-Fine Visual Processing
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Le MuMo JEPA: Multi-Modal Self-Supervised Representation Learning with Learnable Fusion Tokens
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GameplayQA: A Benchmarking Framework for Decision-Dense POV-Synced Multi-Video Understanding of 3D Virtual Agents
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Enhancing Efficiency and Performance in Deepfake Audio Detection through Neuron-level Dropin & Neuroplasticity Mechanisms
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Evidence of an Emergent "Self" in Continual Robot Learning
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Language-Guided Structure-Aware Network for Camouflaged Object Detection
