Steps towards prompt-based creation of virtual worlds
원문 초록
Large language models trained for code generation can be applied to speaking virtual worlds into existence (creating virtual worlds). In this work we show that prompt-based methods can both accelerate in-VR level editing, as well as can become part of gameplay rather than just part of game development. As an example, we present Codex VR Pong which shows non-deterministic game mechanics using generative processes to not only create static content but also non-trivial interactions between 3D objects. This demonstration naturally leads to an integral discussion on how one would evaluate and benchmark experiences created by generative models - as there are no qualitative or quantitative metrics that apply in these scenarios. We conclude by discussing impending challenges of AI-assisted co-creation in VR.
함께 살펴볼 논문
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The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs
Kodezi Chronos: A Debugging-First Language Model for Repository-Scale, Memory-Driven Code Understanding
Rethinking Verification for LLM Code Generation: From Generation to Testing
EvoAgentX: An Automated Framework for Evolving Agentic Workflows
CoreCodeBench: A Configurable Multi-Scenario Repository-Level Benchmark
Estimating Correctness Without Oracles in LLM-Based Code Generation
토론
이 논문과 연결된 포럼 글이 아직 없습니다.