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#artificial intelligence Review Sep 2026

Advancing Model Research in AgentX: Long-Horizon Autonomy for Industrial Recommender Systems

Sustaining industrial recommendation research requires using the results of one experiment to decide what to investigate next. We present AgentX-Model, the next generation of AgentX's model research framework, which connects proposal development and model experimentation within sandboxes defined by business inputs and...

Shuang Yang, Zi-Jie Zhuang, Chang-Xin Lao et al. · 0 citations
#machine learning Preprint Sep 2026

Measured Joules, Learned Routes: Learning to Route for Energy-Efficient LLM Serving

Large language models (LLMs) and agentic AI systems are creating rapidly growing inference energy demands as model sizes grow and reasoning trajectories extend. While in practice, many queries do not require the capabilities of the largest available model, and routinely directing such queries to a high-capability model...

Muhammad Abdur Rab Siddiqui, Daniel Rojas, Chen Yang et al. · 0 citations

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