Agent-SafetyBench shows no tested LLM agent exceeds 60% safety score, attributing failures to lack of robustness and risk awareness.
Shao Y, Li T, Shi W, Liu Y, Yang D
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A fine-tuned local Qwen 3.5 27B model achieves 95% category-level accuracy on security document classification, outperforming commercial models on both internal and external test sets while keeping processing local.
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Security Document Classification with a Fine-Tuned Local Large Language Model: Benchmark Data and an Open-Source System
A fine-tuned local Qwen 3.5 27B model achieves 95% category-level accuracy on security document classification, outperforming commercial models on both internal and external test sets while keeping processing local.