An investigation into language complexity of World-of-Warcraft game-external texts

超越局部与外部：一种博弈论框架用于可信知识获取

Beyond Local vs. External: A Game-Theoretic Framework for Trustworthy Knowledge Acquisition

本文提出GTKA框架，通过博弈论平衡知识效用与隐私，设计隐私感知子查询生成器、对抗重建攻击者和可信本地整合器，减少敏感意图泄露并保持高答案质量。

Course Concept Expansion in MOOCs with External Knowledge and Interactive Game

As Massive Open Online Courses (MOOCs) become increasingly popular, it is promising to automatically provide extracurricular knowledge for MOOC users. Suffering from semantic drifts and lack of knowledge guidance, existing methods can not effectively expand course concepts in complex MOOC environments. In this paper, we first build a novel boundary during searching for new concepts via external knowledge base and then utilize heterogeneous features to verify the high-quality results. In addition, to involve human efforts in our model, we design an interactive optimization mechanism based on a …

通过外部与内部规划掌握棋盘游戏：基于语言模型的方法

Mastering Board Games by External and Internal Planning with Language Models

本研究通过外部搜索（引导MCTS）和内部搜索（生成线性化搜索树）结合领域知识，显著提升了LLM在棋盘游戏中的规划能力，在国际象棋中达到大师级水平，并展示了方法的通用性。

Verbal Werewolf：通过言语化智能体狼人杀游戏框架吸引用户

Verbal Werewolf: Engage Users with Verbalized Agentic Werewolf Game Framework

提出Verbal Werewolf框架，通过LLM推理与微调TTS双流水线实现近实时无外部模块的语音狼人杀，显著提升用户参与度。

Internal and external pressures on language emergence: least effort, object constancy and frequency

In previous work, artificial agents were shown to achieve almost perfect accuracy in referential games where they have to communicate to identify images. Nevertheless, the resulting communication protocols rarely display salient features of natural languages, such as compositionality. In this paper, we propose some realistic sources of pressure on communication that avert this outcome. More specifically, we formalise the principle of least effort through an auxiliary objective. Moreover, we explore several game variants, inspired by the principle of object constancy, in which we alter the freq…