实用人格：通过桥接推理发现LLM人格
The Pragmatic Persona: Discovering LLM Persona through Bridging Inference
AI总结：
提出基于桥接推理的框架，通过构建话语级知识图谱捕捉LLM对话中的隐含语义关联，实现从话语连贯性层面发现稳定人格特征，优于基于频率或风格的基线方法。
摘要：
大型语言模型（LLM）通过对话展现出固有且独特的人格。然而，现有的大多数人格发现方法依赖于表面层面的词汇或风格线索，将对话视为平坦的token序列，未能捕捉维持人格一致性的更深层次话语结构。为解决这一局限，我们提出一种新颖的分析框架，通过桥接推理——即通过共享世界知识和话语连贯性连接话语的隐含概念关系——来解读LLM对话。通过将这些关系建模为结构化知识图谱，我们的方法捕捉了控制LLM在对话轮次间组织意义的潜在语义链接，从而在话语连贯性层面而非表面实现上实现人格发现。在多种推理骨干和从小型模型到80B参数系统的目标LLM上的实验结果表明，与基于频率或风格的基线相比，桥接推理图产生了显著更强的语义连贯性和更稳定的人格识别。这些结果表明，人格特质始终编码在话语的结构组织中，而非孤立的词汇模式中。本工作提出了一个系统框架，通过认知话语理论的视角来探测、提取和可视化潜在的LLM人格，桥接了计算语言学、认知语义学和大型语言模型中的人格推理。代码见：https://this URL
英文摘要：
Large Language Models (LLMs) reveal inherent and distinctive personas through dialogue. However, most existing persona discovery approaches rely on surface-level lexical or stylistic cues, treating dialogue as a flat sequence of tokens and failing to capture the deeper discourse-level structures that sustain persona consistency. To address this limitation, we propose a novel analytical framework that interprets LLM dialogue through bridging inference -- implicit conceptual relations that connect utterances via shared world knowledge and discourse coherence. By modeling these relations as structured knowledge graphs, our approach captures latent semantic links that govern how LLMs organize meaning across turns, enabling persona discovery at the level of discourse coherence rather than surface realizations. Experimental results across multiple reasoning backbones and target LLMs, ranging from small-scale models to 80B-parameter systems, demonstrate that bridging-inference graphs yield significantly stronger semantic coherence and more stable persona identification than frequency or style-based baselines. These results show that persona traits are consistently encoded in the structural organization of discourse rather than isolated lexical patterns. This work presents a systematic framework for probing, extracting, and visualizing latent LLM personas through the lens of Cognitive Discourse Theory, bridging computational linguistics, cognitive semantics, and persona reasoning in large language models. Codes are available at https://github.com/JiSoo-Yang/Persona_Bridging.git
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
