S1-DeepResearch: Beyond Search, Toward Real-World Long-Horizon Research Agents
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Noticias de IA
22318 elementos — filtrados, clasificados y sin duplicados
Domain-Guided Prompting of the Segment Anything Model for Seismic Interpretation: The Rol…
LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies
Visualizing Uncertainty: Spatial Maps of Missing and Conflicting Evidence in Deep Learning
From Correlation to Causation in Lane Change Prediction for Automated Driving: A Causal E…
Retrievable Gradients: Continual Post-Training Without Cumulative Weight Drift
Hierarchical Modeling of ICD Codes in EHR Foundation Models
Cascaded Sparse Autoencoders Learn Multi-Level Visual Concepts in Multimodal LLMs
Embedded Arena: Iterative Optimization via Hardware Feedback
LLM-Powered Virtual Population for Demand Simulation and Pricing
The algebra of Krom logic programs
Z-Plane Neural Networks: Bounded Geometric Activation Replaces ReLU and LayerNorm
PO-PDDL: Learning Symbolic POMDPs from Visual Demonstrations for Robot Planning Under Unc…
IoT-Zoo: A Container-Based Framework for Heterogeneous IoT Device Profiles and Reproducib…
AnonShield: Scalable On-Premise Pseudonymization for CSIRT Vulnerability Data
Retrieve, Don't Retrain: Extending Vision Language Action Models to New Tasks at Test Time
On-Policy Distillation with Curriculum Turn-level Guidance for Multi-turn Agents
NVMOS: Non-Verbal Vocalization Quality Assessment in Speech
Koshur Diacritizer: A Byte-Level Sequence-to-Sequence Model for Kashmiri Diacritic Restor…
Who Drifted: the System or the Judge? Anytime-Valid Attribution in LLM Evaluation Pipelin…
Deep Residual Injection for Full-Spectrum Forensic Signal Perception in Multimodal Large …
Wasserstein Convergence of ODE-Based Samplers in Decentralized Diffusion Model via Veloci…
The Truth Stays in the Family: Enhancing Contextual Grounding via Inherited Truthful Head…
You Don't Need Strong Assumptions: Visual Representation Learning via Temporal Differences
Green SARC: Predictive Cost and Carbon Governance for Agentic AI Systems
Towards End-to-End Automation of AI Research
AIRMap: AI-Generated Radio Maps for Wireless Digital Twins
The Perils of Agency: How Developers Perceive, Prioritize, and Address Risks in Agentic A…
Synthetic Counteradaptation: A Principle of Human-AI Co-evolution
Bayesian 3D Steerable CNNs: Enabling Equivariance and Uncertainty Quantification Simultan…