#survey-paper2 articles

2 articles

AIBullisharXiv – CS AI · Feb 277/106

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Toward Personalized LLM-Powered Agents: Foundations, Evaluation, and Future Directions

Researchers published a comprehensive survey on personalized LLM-powered agents that can adapt to individual users over extended interactions. The study organizes these agents into four key components: profile modeling, memory, planning, and action execution, providing a framework for developing more user-aligned AI assistants.

AINeutralarXiv – CS AI · 5d ago4/103

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A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

A research paper surveys the application of deep reinforcement learning (DRL) to network intrusion detection systems, finding that while DRL shows promise and occasionally outperforms traditional methods, many technologies remain underexplored. The study identifies key challenges including training efficiency, minority attack detection, and dataset imbalances, while proposing integration with generative methods for improved performance.