mlsanityData to 7 Oct 2026

BrickBench: Evaluating Agentic Brick Design

arXiv 2610.12452 ↗First posted 8 Oct 2026cs.AI cs.CV cs.GRcited by 0

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Abstract (arXiv)

We propose BrickBench, a benchmark for agentic text-conditioned LEGO-set design. Given a prompt, an agent is tasked with producing an assembly that not only satisfies semantic and design criteria, but that can also be physically built. To do so, it must select parts from a discrete library and reason jointly about local and global constraints. We score validity, alignment, and design across three settings that vary in scale and part availability. We provide BrickAgent, an environment for coding agents to construct, inspect, and validate their designs. We find that leading agents largely satisfy verifiable physical and semantic requirements, but fall short of human designs. We release our benchmark and environment at http://www.brickben.ch

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 3 of its 24 references that are in the map. First posted on arXiv 8 Oct 2026.

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3 of 24 references.

References · 3

  1. 2025SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Featurescited by 1,127
  2. 2026Gemma 4 Technical Reportcited by 187
  3. 2026BenchCAD: A Comprehensive, Industry-Standard Benchmark for Programmatic CADcited by 11

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