Unverified50% confidenceBenchmarkExact time
The method responds to controlled modifications of the declared alternative categories, meaning that when category definitions in the goal model are adjusted, the classification results change accordingly.
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50%
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Long-term
Relevance
9/23/2026
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Related Claims
UnverifiedParameterized policy updates directly modify model weights (e.g., online updating of LoRA fine-tuning layers), offering a higher capability ceiling but introducing the risk of catastrophic forgetting; non-parameterized approaches change behavior by modifying prompts, retrieved content, or tool configurations, offering strong reversibility but limited expressiveness.74% similarUnverifiedThe version under test is jointly determined by the model used, model parameters, prompts, and context; a change in any one of these constitutes a change in the version under test.74% similarUnverified调试时每次只改一个系数并记录行为变化，才能建立参数到行为的直觉映射74% similarUnverifiedPrompt-level policy editing adjusts agent behavior by modifying policies at the prompt level without modifying model parameters.73% similarUnverified模型替换通常涉及三个层面的适配：API 调用格式、认证鉴权方式、以及模型能力差异导致的 Prompt 调整72% similar
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