Unverified50% confidenceSolutionExact time
The method converts each process variant into a textual narrative that describes its behavioral characteristics in natural language, enabling LLMs to leverage pre-trained semantic knowledge to understand process behavior without requiring special adaptation for process-graph structures.
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Long-term
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9/23/2026
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UnverifiedThe paper has LLMs interpret the textual narrative of each variant in the context of the goal model and assign it to the most appropriate category, using the LLM's semantic reasoning capability to connect low-level process behavior with high-level business objectives.75% similarUnverifiedLLM-based information extraction can be quickly adapted to different business scenarios through prompt engineering without retraining the model.75% similarVerified大语言模型的预训练阶段本质上属于自监督学习，是一种特殊的非监督学习，模型通过预测下一个词来从海量文本中自动学习语言规律72% similarUnverified2018年BERT预训练模型问世，通过在海量文本上预训练，模型能够捕捉词语在不同语境下的细微含义差异72% similar
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