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Understand new AI research with readable explanations and links to the original papers.
The Organization of Inference: Information, Resource Constraints, and AI Production This paper investigates how the economic value of AI inference is shaped...
NeuSOGA3D: A Neuro-Symbolic Framework for Explainable 3D Geometric Reconstruction NeuSOGA3D is a new framework designed to bridge the gap between AI-based 3D...
AgentPProf: Semantic Profiler for Long Horizon AI Agents is a research project designed to help developers understand and optimize the behavior of AI agents...
JEPA-WAM: Connecting Generated Visual Instructions to World Action Models through JEPA Latent Representations Robotic systems often struggle to follow langua...
Diagnose, Recover, Certify: Task Readiness under Hidden Dynamics Changes When an AI agent is deployed in the real world, its internal control systems can exp...
AI-Driven Real-Time Relay Optimisation in Smart Urban NR-V2X Networks via Learning-to-Optimise Graph Neural Networks This paper addresses the challenge of ma...
When AI agents perform complex tasks, they often reason for several seconds before deciding on an action.
JointMatch: A Unified Heterogeneous Graph Neural Solver for Large-Scale Ride-Sharing Matching Ride-sharing platforms face a constant, complex challenge: they...
Sequential Contextual Fit Predicts Human Behavioural and Neural Dynamics Across Domains Human perception and decision-making happen in a continuous stream, w...
Forecasting corporate tax avoidance is a critical task for regulators and auditors, but it is notoriously difficult because predictive signals are often hidd...
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