戏剧舞台作为实验室：面向现场表演的实时喜剧大语言模型系统综述
The Theater Stage as Laboratory: Review of Real-Time Comedy LLM Systems for Live Performance
AI总结：
本文综述了幽默生成计算系统相关研究，提出应在现场实时条件下评估AI喜剧，指出即兴喜剧是理想评估载体，总结了现场表演带来的三类挑战及对评估方法、人机协作的影响。
摘要：
在这篇立场论文中，我们回顾了涉及幽默生成计算系统的近期各类学术与艺术作品，并特别聚焦现场表演场景。我们提出，AI喜剧应当在实时约束下，于身处实体空间或线上空间的观众面前的现场条件中进行评估。我们进一步指出，即兴喜剧因此是部署和评估计算幽默系统的理想载体。通过多个成功的融合AI的演出案例，我们证明现场表演为计算幽默生成带来了三类挑战：1）与机器人具身、拟人化以及人机竞争相关的问题；2）与喜剧节奏以及观众互动本质相关的问题；3）与人类对看似荒诞的AI生成幽默的解读相关的问题。我们认为这些问题会影响计算幽默评估方法的选择，因为任何此类方法都需要适配现场观众和表演空间的约束。这些探讨也揭示了人类喜剧演员与AI工具之间不同类型的协作关系。
英文摘要：
In this position paper, we review the eclectic recent history of academic and artistic works involving computational systems for humor generation, and focus specifically on live performance. We make the case that AI comedy should be evaluated in live conditions, in front of audiences sharing either physical or online spaces, and under real-time constraints. We further suggest that improvised comedy is therefore the perfect substrate for deploying and assessing computational humor systems. Using examples of successful AI-infused shows, we demonstrate that live performance raises three sets of challenges for computational humor generation: 1) questions around robotic embodiment, anthropomorphism and competition between humans and machines, 2) questions around comedic timing and the nature of audience interaction, and 3) questions about the human interpretation of seemingly absurd AI-generated humor. We argue that these questions impact the choice of methodologies for evaluating computational humor, as any such method needs to work around the constraints of live audiences and performance spaces. These interrogations also highlight different types of collaborative relationship of human comedians towards AI tools.
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。
