为探索LLaMa模型输出，设计可交互的可视化界面。
A Deep User Interface for Exploring LLaMa
- 通过可调超参数控件，实现对模型输出的动态探索。
- 用户研究显示界面布局清晰，导航简便，反馈积极。
- 适合希望深入理解并对比大模型输出的研究者与开发者。
大型语言模型（LLMs）日益普及，亟需提升用户交互效率的工具。理解这些模型的结构与功能对用户构成重大挑战。基于视觉分析的工具可帮助用户探索和比较模型输出，促进更好决策。本文提出一种视觉分析驱动的工具，配备交互式超参数控制，包括top-p、频率惩罚和存在惩罚，支持用户探索、检查和对比大模型输出。用户研究表明，该工具在视觉设计方面获得好评，尤其认可其界面布局和导航便捷性。反馈还为改进人-大模型交互工具提供了宝贵见解。
原文摘要 · Abstract (English)
The growing popularity and widespread adoption of large language models (LLMs) necessitates the development of tools that enhance the effectiveness of user interactions with these models. Understanding the structures and functions of these models poses a significant challenge for users. Visual analytics-driven tools enables users to explore and compare, facilitating better decision-making. This paper presents a visual analytics-driven tool equipped with interactive controls for key hyperparameters, including top-p, frequency and presence penalty, enabling users to explore, examine and compare the outputs of LLMs. In a user study, we assessed the tool's effectiveness, which received favorable feedback for its visual design, with particular commendation for the interface layout and ease of navigation. Additionally, the feedback provided valuable insights for enhancing the effectiveness of Human-LLM interaction tools.
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