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New MineCEraft benchmark evaluates LLMs for Minecraft construction tasks

Researchers have developed MineCEraft, a new benchmark designed to evaluate the capabilities of large language models (LLMs) in performing construction engineering tasks within the game Minecraft. This open-source benchmark includes 723 hand-crafted instructions across 17 task categories, with programmatically verifiable evaluations to assess LLM reliability. Initial evaluations using MineCEraft have revealed significant failure modes and practical challenges when applying LLMs to these types of construction engineering tasks. AI

IMPACT This benchmark could help researchers identify and address limitations of LLMs in complex, structured task execution.

RANK_REASON The cluster describes a new academic paper introducing a benchmark for evaluating LLMs. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New MineCEraft benchmark evaluates LLMs for Minecraft construction tasks

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The cluster describes a new academic paper introducing a benchmark for evaluating LLMs. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Sewoong Lee, Risham Sidhu, Julia Hockenmaier, Yoonhwa Jung ·

    MineCEraft: Evaluating Language Models as Construction Engineers in the World of Minecraft

    arXiv:2608.28884v1 Announce Type: new Abstract: We introduce MineCEraft (Minecraft Construction Engineering Benchmark, pronounced mine-see-ee-raft), an easy-to-use, open-source benchmark designed to systematically evaluate the reliability and limitations of LLMs for construction …