ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning wit…
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Noticias de IA
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Specification Grounding Drives Test Effectiveness for LLM Code
At-Grok Is Not Converged:A Measurement-Validity Audit for Grokking Representation Metrics
Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering
Diffusion enabled Optimal Transport distances for graph matching
SPEAR: A Simulator for Photorealistic Embodied AI Research
Vision Language Action (VLA) Models for Unmanned Aerial Robotics and Bimanual Manipulatio…
Reliable and Developer-Aligned Evaluation of Agents for Software Engineering
SmartHomeSecure: Automated Detection and Repair of Smart Home Configuration Errors Using …
From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Per…
Enhancing deep learning models for time series classification via knowledge distillation
What Predicts Correctness in Text-to-SQL? A Selective-Prediction Study
A Multi-Analyst LLM Pipeline for Auditable Rule Discovery Across 68 Public Physiological …
When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Sy…
Ad Headline Generation using Self-Critical Masked Language Model
Gradient-Based Speech-to-Text Alignment for Any ASR Model: From CTC to Speech LLMs
A Gold-Standard Study of What Makes a Lightweight Game-Playing Agent Strong
ReMoDEx: A Local-to-Global Relevance-Based Model Decision Explainability Framework for la…
LoCA: Spatially-Aware Low-Rank Convolutional Adaptation of Vision Foundation Models
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Anno…
Imputation Meets Clustering: Exploiting Latent Subgroup Structure for Missing Data Recove…
Self-Supervised Pretraining Improves Cross-Site and Cross-Scale Robustness of Point Cloud…
Hybrid Least Squares/Gradient Descent Methods for MIONets
Physics-guided spatiotemporal neural models for fuel density prediction
Multimodal Spatiotemporal-Frequency Fusion with Peak Enhancement for Cellular Traffic For…
Intrinsic Green's Learning: Supervised Learning on Manifolds via Inverse PDE
Riemannian Geometry for Pre-trained Language Model Embeddings
Complexity-Budgeted, Interaction-Aware Interpretable Model for Tabular Data
Navigating Hierarchy: Hyperbolic Learning on Brain Graphs for Disorder Diagnosis
GeoProp: Grounding Robot State in Vision for Generalist Manipulation