AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work introduces EAR, an Entity-Aware Partitioning approach for multiple-choice question answering (MCQA), which provides a compact and inspectable retrieval unit, while its rule-based anchor extractor remains domain-specific and requires separate validation before transfer.
This study investigates the English-to-Turkish clinical translation performance of three large language models (Aya-23, Seed-X-Instruct, Gemma-3) using zero/few-shot prompting and QLoRA fine-tuning. Our three-stage setup evaluates: (1) general translation after FLORES-devtest training, (2) medical domain adaptation on...
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