用概率框架给LLM当“侦探”，从模型迷宫中自动发现隐藏结构，开箱即用的新思路。
arXiv:2602.18266v2 Announce Type: replace Abstract: Automated methods for discovering mechanistic simulator models from observational data offer a pro…
Kalai和Vempala提出的概率框架，为大语言模型幻觉现象提供了严谨的形式化定义与校准条件，是理论突破。
arXiv:2605.26808v1 Announce Type: cross Abstract: Hallucination is a central limitation of large language models (LLMs), and substantial effort has be…
将中智逻辑引入大语言模型，突破概率总和为一的局限，为认知不确定性提供全新框架。
arXiv:2605.24053v1 Announce Type: new Abstract: Large Language Models (LLMs) are predominantly governed by probabilistic frameworks in which the sum o…