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GeoBuildBench: A Benchmark for Interactive and Executable Geometry Construction from Natural Language

Huishuai Zhang, Jinwoong Kim, Rui Yang

Current multimodal models often produce geometry diagrams with hallucinations, missing objects, and violated constraints from natural language problems.

arxiv:2605.13167 v1 · 2026-05-13 · cs.CL

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Claims

C1strongest claim

despite reasonable success rates, models frequently exhibit structural hallucinations, missing objects, and failures to satisfy geometric constraints, with limited ability to exploit visual and constraint-based feedback for self-correction

C2weakest assumption

The 489 problems are text-complete and constructible after automated filtering and human validation, and the chosen DSL accurately represents valid geometric constructions.

C3one line summary

GeoBuildBench is a new benchmark requiring LLMs to generate executable geometry constructions from text, revealing frequent hallucinations, missing objects, and constraint failures in state-of-the-art models.

References

12 extracted · 12 resolved · 1 Pith anchors

[1] Qwen3-VL Technical Report 2021 · arXiv:2511.21631
[2] One definition per label
[3] Construct, don't assert
[4] These prompts define the construction suitability criteria and the formal extraction of geometric objects and verifica- tion conditions
[5] Determine whether this problem is suitable for geometric figure construction

Formal links

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First computed 2026-05-18T03:08:56.699362Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

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ffe1064a5d2c6181d77af833f9be37595a3cdbf863f1560ede0ee44873e030f0

Aliases

arxiv: 2605.13167 · arxiv_version: 2605.13167v1 · doi: 10.48550/arxiv.2605.13167 · pith_short_12: 77QQMSS5FRQY · pith_short_16: 77QQMSS5FRQYDV32 · pith_short_8: 77QQMSS5
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Canonical record JSON
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