Dear Algo: A Precision-First Agentic Intent Layer for Unified Search and Recommendation
Together, these studies show how explicit natural-language intent can be carried into feed recommendation under a precision-first evaluation framework.
AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Together, these studies show how explicit natural-language intent can be carried into feed recommendation under a precision-first evaluation framework.
This work proposes CMI-Mem, a lightweight RL memory manager with a hybrid reward, which demonstrates improved transfer across memory-use scenarios, together with more efficient training and inference from the per-operation CMI signal.
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