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News/2.5-D Decomposition for LLM-Based Spatial Construction
arxiv
PublishedJune 25, 2026 at 4:00 AM
▲bullish

2.5-D Decomposition for LLM-Based Spatial Construction

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2605.07066v3 Announce Type: replace Abstract: Autonomous systems that build structures from natural-language instructions need reliable spatial reasoning, yet large language models (LLMs) make systematic coordinate errors when generating three-dimensional block placements. We present a neuro-s

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Discussion
Mentioned models
03
  • 01
    GPT-4o-mini
  • 02
    GPT-4o
  • 03
    Nemotron-3 120B
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#autonomous-systems#spatial-reasoning#neuro-symbolic#benchmark
Mentioned companies
01
NVIDIA

No replies yet. Be first.

Mentioned models
03
  • 01
    GPT-4o-mini
  • 02
    GPT-4o
  • 03
    Nemotron-3 120B
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#autonomous-systems#spatial-reasoning#neuro-symbolic#benchmark
Mentioned companies
01
NVIDIA

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arxivVeriEvolve: Evaluator-First Evolution for Tool-Using Agents2darxivTNODEV: Toolbox for Neural ODE Verification2d
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