从 Transformer 到协调变换的形式语义学
From the Transformer to a Formal Semantics of Coordinated Transformations
AI 导读
arXiv 论文《From the Transformer to a Formal Semantics of Coordinated Transformations》为一类参数化协调变换系统建立形式语义学,以 Transformer 为范式起点但抽象出其具体数学实例。
正文 · 原文
Abstract:We develop a formal semantics for a general class of coordinated systems of parameterized transformations, taking the Transformer as a paradigmatic starting point but abstracting from its particular mathematical instantiation. Representational vectors receive both extensional reference and ordered intensional interpretations, while parameter structures acquire relative, second-level interpretations that determine how argument properties are preserved, replaced, or combined. This yields the notion of a transforming concept: a parameterized transformation whose numerical action is coordinated with a corresponding property-level map. We then distinguish the common algebraic-semantic core of these systems from their architecture-specific functional organization, allowing different mathematical instantiations and mechanical realizations of the same abstract system type. The framework is applied to attention heads and residual connections, providing semantic explanations that depend only on the shared algebraic-semantic core and their local functional organization and therefore generalize beyond the standard Transformer. These analyses also reveal the modularity of the framework: complex architectures can be decomposed into simpler semantically coordinated subsystems whose organization may recur across different abstract system types.
| Comments: | v1: 28 pages, 9 sections, this version incorporates revisions made after the first round of peer review |
| Subjects: | Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Logic in Computer Science (cs.LO) |
| Cite as: | arXiv:2610.39735 [cs.AI] |
| (or arXiv:2610.39735v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.39735 arXiv-issued DOI via DataCite |
Submission history
From: Marco Giunti [view email]
[v1]
Thu, 29 Oct 2026 10:00:08 UTC (31 KB)
来源:arXiv cs.AI · arxiv.org