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BrickBench: Evaluating Agentic Brick Design

Paper recorded by Signals 4 on 2026-10-08 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-08 on arXiv · recorded by Signals 4 on 2026-10-09

Category: cs.AI · 人工智能 · first seen 2026-10-09

Abstract

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

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#363 most recent of 960 cs.AI papers we have recorded · ↑ newer: From Reactive Containment to Proactive Assurance: Lessons from OpenAI, · ↓ older: Bi-FORK: Generative Modeling of High-Dimensional Bifurcating Systems
Cite this page: BrickBench: Evaluating Agentic Brick Design: the #363 most recent of 960 cs.AI papers we have recorded (as of 2026-10-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/brickbench-evaluating-agentic-brick-design.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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