AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes DualViewEval, an agent benchmark compression method that jointly exploits outcome and process relations to learn an exact-size miniset and predict the full-benchmark scores, and achieves the best results in all datasets.
StrixAE, an agent based on a multimodal large language model (MLLM), outperforms most existing open-source and proprietary solutions, achieving state-of-the-art performance across multiple perceptual metrics and demonstrating strong generalization robustness.
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