Home/Library/Voyager: An Open-Ended Embodied Agent with Large Language ModelsPapers & ResearchVoyager: An Open-Ended Embodied Agent with Large Language ModelsDetailsPublisherarXivDomainResearch & LearningCategoryPapers & ResearchType GroupResearch & PapersTypePaperBest ForResearchSkill LevelAdvancedAccessFreeTopicAI researchRelated in Papers & ResearchAdapting the Interface, Not the Model: Runtime Harness Adaptation for Deterministic LLM AgentsTianshi Xu, Huifeng Wen, Meng LiAwesome Code as Agent Harness PapersYennNingA Survey of Context Engineering for Large Language ModelsLingrui Mei et al.Language-Induced Priors for Domain AdaptationQiyuan Chen, Jiayu Zhou, Raed Al KontarContexting as Recommendation: Evolutionary Collaborative Filtering for Context EngineeringJiachen Zhu et al.AutoCodeBench: Large Language Models are Automatic Code Benchmark GeneratorsHunyuan Team, TencentOpen ResourceSave to pathBack to library
