English(EN) Natural Language to First-Order Logic LLM-based Autoformalization

新论文定义了将LLM自动形式化为一阶逻辑

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-09 04:00

一篇新的arXiv论文提出了一个统一的定义，用于将自然语言自动形式化为一阶逻辑（FOL）的任务。该研究区分了本体提取和逻辑翻译，并强调了它们的混淆如何使评估复杂化。论文还回顾了现有的数据集、指标和基于LLM的方法，同时确定了基准测试、语义评估和端到端应用中的关键挑战。 AI

影响这项研究可能导致更鲁棒的将自然语言翻译成形式逻辑的方法，从而提高AI的推理能力。

排序理由该条目是一篇发表在arXiv上的研究论文，详细介绍了一种新的任务表述和LLM自动形式化的调查。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CL TIER_1 English(EN) · Andrea Brunello, Cristian Curaba, Luca Geatti, Michele Mignani, Angelo Montanari, Nicola Saccomanno · 2026-10-09 04:00

自然语言到一阶逻辑的基于LLM的自动形式化

arXiv:2610.12030v1 Announce Type: new Abstract: Large Language Models (LLMs) have renewed interest in autoformalization. Yet, when First-Order Logic (FOL) is considered as the target formalism, the field still lacks a unified task formulation and a systematic survey. This paper a…