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English(EN) How Do I Know What to Say Next? Barenholtz's Autogenerative Theory as an Enrichment of Harrisean Integrationism

新理论丰富了语言学在LLM设计中的应用 · 跟踪2个来源

本文提出Elan Barenholtz的自生理论,作为丰富Roy Harris的整合主义语言学的一种方式,特别适用于计算语言学方法。自生理论通过解释符号如何保持开放性、连接语言和非语言符号活动以及详细说明过去语言互动结构来解决整合主义的不足。对于自然语言处理和大型语言模型设计,这提供了对LLM利用的统计结构的原则性理解。 AI

影响 为理解LLM在自然语言处理中利用的统计结构提供了理论框架。

排序理由 一篇在arXiv上发表的学术论文,讨论了语言学理论及其在LLM中的应用。

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新理论丰富了语言学在LLM设计中的应用 · 跟踪2个来源

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一篇在arXiv上发表的学术论文,讨论了语言学理论及其在LLM中的应用。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · J. Mark Bishop, Stephen J. Cowley ·

    我如何知道接下来该说什么?Barenholtz 的自生成理论是对 Harrisean 整合主义的丰富

    arXiv:2607.07891v1 Announce Type: cross Abstract: Roy Harris's Integrationist linguistics offers a compelling critique of the referentialist tradition embedded deep at the heart of computational approaches to language, arguing that language is not a code that maps onto a pre-give…

  2. arXiv cs.CL TIER_1 English(EN) · Stephen J. Cowley ·

    我如何知道接下来该说什么?Barenholtz 的自生成理论是对 Harrisean 整合主义的丰富

    Roy Harris's Integrationist linguistics offers a compelling critique of the referentialist tradition embedded deep at the heart of computational approaches to language, arguing that language is not a code that maps onto a pre-given world but a situated, bipartite activity oriente…