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Understand new AI research with readable explanations and links to the original papers.
AlayaWorld: Interactive Long-Horizon World Modeling - Full Technical Report (v1.1) introduces an updated architecture designed to improve the consistency and...
TsuGO is a process-level reasoning benchmark designed to evaluate how Large Language Models (LLMs) organize search and allocate reasoning resources.
The paper "Teach the Magnitude, Not the Direction: Verifier-Bounded Credit Assignment for Multi-Turn Multi-step LLM Agents" introduces CrEST, a framework des...
Multi-Layer Context Camouflaging: A Semantic Superposition and Contextual Lamination Framework for Malpractice-Resilient Online Assessment introduces a mathe...
RAIL (Readiness Assessment via Independent LLM-experts) is an automated system designed to classify the maturity of artificial intelligence projects based on...
MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination introduces a framework designed to improve clinical AI by replacing...
StateBridge is a training-free communication method designed to improve how Large Language Model (LLM) agents collaborate in multi-agent systems.
A Unifying Perspective on Causal World Models: From Observations to Representations to Structure proposes a formal framework to bridge the gap between raw se...
Capability Sheaves for Compositional Agent-Harness Repair: Controlled Quotients and a Real-Repository Stress Test introduces a mathematical framework using s...
Towards Context-Aware Clinical Motion Understanding in Daily Living at Home: Freezing of Gait Detection with Egocentric Vision explores how adding visual con...
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