Dimensions overall score 8.0

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• The SIA framework synthesizes high-quality natural language corpus by combining structured knowledge graphs with unstructured behavioral logs, augmented with reasoning chains and safety-aware data.method 90%
• The framework uses a parameter-efficient pre-training strategy based on Depth Up-Scaling to inject domain knowledge while preserving general capabilities.technical 90%
• A dual-path alignment method via multi-task instruction tuning and adversarial training strengthens both task performance and safety robustness.technical 90%
• The framework has been deployed at JD.com, China's largest self-operated e-commerce platform.market 95%
• A/B tests across five core search scenarios demonstrate significant improvements in key business metrics.result 85%
• The framework addresses knowledge hallucination due to insufficient encoding of dynamic, fine-grained product knowledge.technical 90%
• The framework addresses security vulnerabilities under jailbreak attacks that threaten compliance.technical 90%
• Industrial deployment of LLMs for e-commerce search is hindered by knowledge hallucination and security vulnerabilities.limitation 85%

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