This comprehensive survey explored the evolving landscape of generative Artificial
Intelligence (AI), with a specific focus on the transformative impacts of Mixture of Experts …

Chain-of-Thought (CoT) reasoning, which breaks down complex tasks into intermediate
reasoning steps, has significantly enhanced the performance of large language models …

Large Language Models (LLMs) achieve superior performance through training-time
scaling, and test-time scaling further enhances their capabilities by conducting effective …

The remarkable performance of the o1 model in complex reasoning demonstrates that test-
time computing scaling can further unlock the model's potential, enabling powerful System-2 …

This paper presents a detailed blueprint for implementing a production-grade adaptive
learning system for large-scale government training and education. Building on previous …

Large language models (LLMs) have been adopted to solve sequential decision-making
tasks such as multi-armed bandits (MAB), in which an LLM is directly instructed to select the …

Federated Learning (FL) has emerged as a promising decentralized machine learning
paradigm, allowing multiple clients to collaboratively train a shared model while preserving …

Federated Learning (FL) has emerged as a promising solution for decentralized model
training, but its effectiveness is significantly hindered by Non-Independent and Identically …

This paper introduces Convergent Hierarchical Reasoning (CHR), a unified artificial
intelligence (AI) framework that integrates four advanced reasoning paradigms-Chain-of …

Abstract Eye Movement Desensitization and Reprocessing (EMDR) is a robust, eight-phase
psychotherapy technique designed to help individuals reprocess distressing or traumatic …