用信号解码流程意图，让复杂业务流程自动生成更准确。
Opus: A Workflow Intention Framework for Complex Workflow Generation
- 从业务文档中提取输入、处理、输出三要素，构建流程意图框架。
- 提出四步式多模态编码方法，实现端到端流程意图解析。
- 适合需要自动化流程设计的企业与研究者，支持可扩展生成。
本文提出一种名为「流程意图（Workflow Intention）」的新框架，用于在复杂业务环境中识别和编码过程目标。流程意图是通过业务文档中的流程信号（Workflow Signal）解读出的输入、处理、输出三要素的对齐，定义了流程的转换目标，并包含质量标准、业务规则、合规要求及约束条件。该框架采用端到端的业务文档编码方法，包含四个步骤：模态特定编码、模态内注意力、模态间融合注意力与意图解码。论文还提出了训练流程与关键损失函数定义，并将流程信号形式化为向量，流程意图形式化为张量，建立数学表示体系。最终，提出一个模块化、可扩展、可训练的基于注意力机制的多模态生成系统，用于从业务文档中恢复流程意图。
原文摘要 · Abstract (English)
This paper introduces Workflow Intention, a novel framework for identifying and encoding process objectives within complex business environments. Workflow Intention is the alignment of Input, Process and Output elements defining a Workflow's transformation objective interpreted from Workflow Signal inside Business Artefacts. It specifies how Input is processed to achieve desired Output, incorporating quality standards, business rules, compliance requirements and constraints. We adopt an end-to-end Business Artefact Encoder and Workflow Signal interpretation methodology involving four steps: Modality-Specific Encoding, Intra-Modality Attention, Inter-Modality Fusion Attention then Intention Decoding. We provide training procedures and critical loss function definitions. In this paper we introduce the concepts of Workflow Signal and Workflow Intention, where Workflow Signal decomposed into Input, Process and Output elements is interpreted from Business Artefacts, and Workflow Intention is a complete triple of these elements. We introduce a mathematical framework for representing Workflow Signal as a vector and Workflow Intention as a tensor, formalizing properties of these objects. Finally, we propose a modular, scalable, trainable, attention-based multimodal generative system to resolve Workflow Intention from Business Artefacts.
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