No Gaussian Required: Contrastive Inverse Dynamics for JEPA World Models
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Beyond FLOPs: Energy-Aware Knowledge Distillation for Sustainable LLMs on Code-Related Ta…
MotoSafety: Edge-AI with Learned Temporal Importance for Two-Wheeler Collision Risk Asses…
CoAL-RAG: A Complexity-Aware Legal Retrieval-Augmented Generation Method
MoNe: Modular Neural Memory for Efficient Long Context Inference
Leveraging generative hallucination and biophysics-informed modeling for unified biomolec…
Integrating Novelty and Surprise for Experience Prioritization and Exploration in Image-B…
ORPA: Online Residual Policy Adaptation for Robot Manipulation Control with Human Feedback
MoFE: A Novel Mixture-of-Experts Framework with Fourier Neural Operators for Cryptocurren…
NeuroAbs: A Neuro-Symbolic RTL Abstraction Framework for Property Checking Acceleration
Inductively Scalable, Single-Step Neural Surrogates for Wave-Scattering Inverse Problems
TRUSS: Towards Task-Reliable and User-Safe Automated Agent Skill Generation
On the Fragility of Self-Improving Agents: Variance, Task Order, and Underspecification
Structural Plan-to-Model Conversion with Deterministic Geometry and Guarded Agentic Visio…
Adaptive surrogate modeling for high-dimensional spatio-temporal output
When Agents Act on Web3: An Attack-Surface Survey of MCP, Skills, and Tool Calling
Co-RL: Unsupervised Reasoning Emerges from Diverse Cohort in Multi-agent RL
Too Sure to Be Safe: Model Calibration for Reliable Log Anomaly Detection
Towards Zero-Shot Task Transfer with Neurosymbolic World Models
Teach and Grow: An Agent-Centered Architecture for General Robot Learning
The Acknowledgment Point Is the System: Durable Policy-Decision Receipts for AI Audit Evi…
Graphectory Viewer: A Tool for Process-Centric Analysis of Agentic Software Trajectories
Expected free energy as an information constraint on the Bethe Lagrangian
Authorization Before Context: A Model-Neutral Audience Boundary Against Cross-Audience Me…
Token Optimization and Context Window Management in Multi-Agent AI Workflows
Q-Learning With World Models
From Abductive Explanations to Global Logical Rules for Node Classification in SGCs
Rethinking Irregular Time Series Forecasting from the Perspective of Basis Functions
A Framework for Using and Evaluating LLMs as Surrogate Experts in Security Surveys: Relia…
Neuro-symbolic learning over OWL 2 DL via consequence-based compilation to differentiable…