AI RESEARCH
MineExplorer: Evaluating Open-World Exploration of MLLM Agents in Minecraft
arXiv CS.CL
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ArXi:2605.30931v1 Announce Type: new Multimodal large language models (MLLMs) have shown strong capabilities in perception, reasoning, and action generation. However, their ability to sustain exploration in dynamic open worlds remains unclear. Existing embodied and game-based benchmarks often compress interaction into short-horizon tasks or entangle success with domain-specific game mechanics. In this paper, we