#systems-research News & Analysis

3 articles tagged with #systems-research. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AINeutralarXiv – CS AI · Jun 26/10

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Characterization of Multi-Model Agentic AI Systems on General Tasks via Trace-Driven Simulation

Researchers introduced GAIATrace, a token-level trace dataset documenting how state-of-the-art agentic AI systems (MiroThinker and OWL) execute general tasks, alongside Vidur-Agent, a simulator enabling reproducible system evaluation. This work addresses the black-box nature of agentic AI by providing unprecedented visibility into reasoning processes and system-level behavior.

AIBullisharXiv – CS AI · Jun 26/10

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TuneAgent: Agentic Operating System Kernel Tuning with Reinforcement Learning

Researchers introduce TuneAgent, an AI-powered framework using reinforcement learning and large language models to automatically optimize Linux kernel configurations. The system achieves up to 5.6% performance improvements while maintaining configuration validity, addressing a longstanding challenge in OS optimization that traditionally requires manual expert tuning.

AIBullisharXiv – CS AI · May 126/10

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LEVI: Stronger Search Architectures Can Substitute for Larger LLMs in Evolutionary Search

Researchers introduce LEVI, an open-source evolutionary search framework that achieves superior results on AI research benchmarks while reducing computational costs by 3.3x to 35x compared to existing methods. By optimizing search architecture rather than relying on larger language models, LEVI demonstrates that algorithmic efficiency can significantly reduce the expense of LLM-guided evolutionary discovery.