mlsanityData to 14 Oct 2026

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

arXiv 2608.28884 ↗First posted 28 Aug 2026cs.AIcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 14 of its 29 references that are in the map. First posted on arXiv 28 Aug 2026.

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References · 14

  1. 2022Large Language Models are Zero-Shot Reasonerscited by 4,374
  2. 2019ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Taskscited by 783
  3. 2019Vision-and-Dialog Navigationcited by 250
  4. 2025EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agentscited by 221
  5. 2021TEACh: Task-driven Embodied Agents that Chatcited by 197
  6. 2025Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2cited by 97
  7. 2026FrontierScience: Evaluating AI's Ability to Perform Expert-Level Scientific Taskscited by 47
  8. 2019CraftAssist: A Framework for Dialogue-enabled Interactive Agentscited by 28
  9. 2025Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoningcited by 21
  10. 2025CEQuest: Benchmarking Large Language Models for Construction Estimationcited by 6
  11. 2024Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraftcited by 4
  12. 2024Nebula: A discourse aware Minecraft Buildercited by 3
2 more
  1. 2025BAP v2: An Enhanced Task Framework for Instruction Following in Minecraft Dialoguescited by 2
  2. 2022Elasticity Solver in Minecraft for Learning Mechanics of Materials by Gamingcited by 1

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