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

August 28, 2026 Β· Grace Period Β· πŸ› EMNLP 2026 Findings

⏳ Grace Period
This paper is less than 90 days old. We give authors time to release their code before passing judgment.
Authors Sewoong Lee, Risham Sidhu, Julia Hockenmaier, Yoonhwa Jung arXiv ID 2608.28884 Category cs.AI: Artificial Intelligence Citations 0 Venue EMNLP 2026 Findings
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 tasks in Minecraft. The MineCEraft benchmark comprises 723 domain-expert hand-crafted natural-language instructions with programmatically verifiable evaluation, spanning 17 distinct task categories, providing a safe and controllable experimental environment for assessing LLMs' ability to perform realistic construction engineering tasks. With this benchmark, we conduct an in-depth evaluation of state-of-the-art LLMs and perform a detailed error analysis, revealing key failure modes and practical challenges in applying LLMs to construction engineering tasks.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Artificial Intelligence